Applications in the social and behavioural sciences Books

Book SynopsisThis textbook covers the entire Business Process Management (BPM) lifecycle, from process identification to process monitoring, covering along the way process modelling, analysis, redesign and automation. Concepts, methods and tools from business management, computer science and industrial engineering are blended into one comprehensive and inter-disciplinary approach. The presentation is illustrated using the BPMN industry standard defined by the Object Management Group and widely endorsed by practitioners and vendors worldwide.In addition to explaining the relevant conceptual background, the book provides dozens of examples, more than 230 exercises – many with solutions – and numerous suggestions for further reading. This second edition includes extended and completely revised chapters on process identification, process discovery, qualitative process analysis, process redesign, process automation and process monitoring. A new chapter on BPM as an enterprise capability has been added, which expands the scope of the book to encompass topics such as the strategic alignment and governance of BPM initiatives.The textbook is the result of many years of combined teaching experience of the authors, both at the undergraduate and graduate levels as well as in the context of professional training. Students and professionals from both business management and computer science will benefit from the step-by-step style of the textbook and its focus on fundamental concepts and proven methods. Lecturers will appreciate the class-tested format and the additional teaching material available on the accompanying website.Table of Contents1 Introduction to Business Process Management.- 2 Process Identification.- 3 Essential Process Modeling.- 4 Advanced Process Modeling.- 5 Process Discovery.- 6 Qualitative Process Analysis.- 7 Quantitative Process Analysis.- 8 Process Redesign.- 9 Process-Aware Information Systems.- 10 Process Implementation with Executable Models.- 11 Process Monitoring.- 12 BPM as an Enterprise Capability.

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Book SynopsisThis book originates from a multiple year research project on ICT and justice in a number of EU countries. Among the project's major objectives was the development of new methodologies for facilitating ICT-based innovation in the judiciary.Table of ContentsIntroduction; F. Contini and G. Francesco Lanzara PART I: PERSPECTIVES: ICT, INSTITUTIONS AND E-GOVERNMENT Building Digital Institutions: ICT and the Rise of Assemblages in Government; G. Francesco Lanzara How Institutions are Inscribed in Technical Objects and what it may mean in the case of the Internet; B. Czarniawska The Regulative Regime of Technology; J. Kallinikos ICT, Marketization and Bureaucracy in the UK Public Sector: Critique and Reappraisal; A. Cordella and L. Willcocks PART II: EXPERIENCES: ICT, INSTITUTIONAL COMPLEXITY, AND THE DEVELOPMENT OF E-SERVICES E-justice in Finland and in Italy: Enabling Versus Constraining Models; M. Fabri Aligning ICT and Legal Frameworks in Austria's e-bureaucracy: From Mainframe to the Internet; S. Koch and E. Bernroider Institutional Complexity and Functional Simplification: The Case of Money Claim Online Service in England and Wales; J. Kallinikos Assemblage-in-the-making: Developing the e-services for the Justice of the Peace Office in Italy; M. Velicogna and F. Contini ICT, Assemblages and Institutional Contexts: Understanding Multiple Development Paths; F. Contini

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Book SynopsisThis book dives into the achievements, opportunities, risks and dangers of ICT in the rural Global South, and takes a look at the likely future.Drawing on years of experience across 45 counties, as well as extensive original academic research, Willem van Eekelen situates the evolving role of ICT in wider development patterns in the Global South. He discusses the effects of ICT on agriculture, trade, financial flows, resource management and governmental performance. He then considers the associated risks of financial insecurity, online gambling, exclusion, misinformation and the effects of ICT on people's freedom. The book concludes with six recommendations to maximise the usefulness of rural ICT investments and minimise the risk of them causing harm.This engaging and authoritative account of ICT and rural development will help students, academics, governmental policymakers, donors and investors wishing to support socio-economic development in the Global South.Trade ReviewThe book provides a fresh and exciting view of how technology is used in rural areas in the Deep South. I enjoyed reading the examples and feedback as well as the opportunities, future, and challenges experienced in their own contexts. I think a tremendous amount of knowledge is shared that can assist similar future projects in knowing how to approach ICT in rural contexts and what the pitfalls and dangers to be aware of. M. E. Herselman, Council for Scientific and Industrial Research (CSIR), CSIR, Pretoria Campus, Pretoria, Gauteng, South AfricaWillem van Eekelen, in ICT and Rural Development in the Global South, provides an open and honest review of ICT4D in the Global South. Van Eekelen's experience is clear to anyone who has worked in this field, and his knowledge of the benefits and risks is reflected on each page. Not only does he debunk many myths of ICT for development, but he also provides insight into where ICT can be beneficial, what risks ICT4D faces,and how to mitigate them. [...] ICT and Rural Development in the Global South is a must-read for anyone involved in ICT4D wanting to make a noticeable difference to livelihoods in the Global South.Malcolm Garbutt, University of the Western Cape, Bellville, South AfricaTable of ContentsPROLOGUE PART 1: ICT’S CONTRIBUTIONS TO RURAL DEVELOPMENT Introduction Chapter 1: Agricultural production processes Chapter 2: Trade Chapter 3: Diversified livelihoods Chapter 4: Microfinance Chapter 5: Remittances and social assistance Chapter 6: E-government Chapter 7: Climate change and natural resource management Chapter 8: The spread of ICT products and services PART 2: THE RISKS, DANGERS AND EXTERNALITIES OF ICT Introduction Chapter 9: Farming and rural employment Chapter 10: Financial safety and security Chapter 11: Gambling Chapter 12: The digital divide and its effects Chapter 13: Misinformation Chapter 14: Inclusivity and civic space CONCLUSIONS ANNEX 1: METHODOLOGY ANNEX 2: RESEARCH INTEGRITY AND ETHICS

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Book SynopsisEarly Cybernetics.- Gregory Bateson.- Norbert Wiener.- Warren McCulloch.- Margaret Mead.- W. Ross Ashby.- General Systems Theory.- Ludwig von Bertalanffy.- Kenneth Boulding.- Geoffrey Vickers.- Howard Odum.- System Dynamics.- Jay Forrester.- Donella Meadows.- Peter Senge.- Soft and Critical Systems.- C. West Churchman.- Russell Ackoff.- Peter Checkland.- Werner Ulrich.- Michael Jackson.- Later Cybernetics.- Heinz von Foerster.- Stafford Beer.- Humberto Maturana.- Niklas Luhmann.- Paul Watzlawick.- Complexity Theory.- Ilya Prigogine.- Stuart Kauffman.- James Lovelock.- Learning Systems.- Kurt Lewin.- Eric Trist.- Chris Argyris.- Donald Schön.- Mary Catherine Bateson. Afterword.- IndexTable of ContentsEarly Cybernetics.- Gregory Bateson.- Norbert Wiener.- Warren McCulloch.- Margaret Mead.- W. Ross Ashby.- General Systems Theory.- Ludwig von Bertalanffy.- Kenneth Boulding.- Geoffrey Vickers.- Howard Odum.- System Dynamics.- Jay Forrester.- Donella Meadows.- Peter Senge.- Soft and Critical Systems.- C. West Churchman.- Russell Ackoff.- Peter Checkland.- Werner Ulrich.- Michael Jackson.- Later Cybernetics.- Heinz von Foerster.- Stafford Beer.- Humberto Maturana.- Niklas Luhmann.- Paul Watzlawick.- Complexity Theory.- Ilya Prigogine.- Stuart Kauffman.- James Lovelock.- Learning Systems.- Kurt Lewin.- Eric Trist.- Chris Argyris.- Donald Schön.- Mary Catherine Bateson. Afterword.- Index

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Book Synopsis​​E-Commerce Strategy: Text and Cases provides the fundamental literature required for graduate students and practitioners to understand electronic commerce. Unlike similar books, topics such as e-channel adoption, factors affecting e-commerce adoption, and strategy design are reviewed in greater depth.Table of ContentsUnderstanding E-commerce.- Technology of E-commerce.- Web Page Hosting.- Concepts in E-commerce.- Understanding E-commerce Product Design Strategy.- E-commerce and Online Auctions.- E-commerce Strategy.- Channels in E-commerce.- E-commerce Portal Design Strategy.- Future Trend - Social Commerce.- Drivers of Online-selling Diffusion: A Look at Organizational and Environmental Factors Through Time.

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Book SynopsisIn February 2020, the Coronavirus pandemic became a worldwide health emergency, and in April of that year, the ITU and the WHO created a joint declaration to show their commitment to using ICTs to overcome the pandemic. Technologies and African Societies in Pandemic Times explores the impact of Covid-19 on African societies in North and West Africa through the lens of technology and social media. The authors of this book highlight how everyday people dealt with the pandemic from its onset, through the process of the development of the vaccine and to its eventual dissemination. This book tells stories of survival, of coping and, eventually, of economically thriving. The authors also describe how, in this extremely challenging moment for humanity, people used music, art and social media to reinvent the community, to share joy and pain and to try to remain connected.Table of ContentsForeword xi Mohamed SALIOU CAMARA Introduction xv Jean-Jacques Maomra BOGUI and Nanga Désiré COULIBALY Part 1 Covid-19, Information, and Communication 1 Chapter 1 Reinventing Everyday Life in the Covid-19 Era: The Uses of Information and Communication Technologies as Tactics in an Abidjanese “Ordinary Courtyard” 3 Youssouf SOUMAHORO 1.1 Introduction 3 1.1.1 Context and positioning of the research problem 3 1.1.2 Field and methods 5 1.2 Results 6 1.2.1 Social relational uses 6 1.2.2 Hedonic and playful uses 8 1.2.3 Emerging from the inactivity brought about by the pandemic 9 1.2.4 Uses for information retrieval and educational purposes 10 1.3 Conclusion 12 1.4 References 13 Chapter 2 Ambivalence of the Use of Digital Technologies in Public Communication About the Pandemic in Côte d’Ivoire 15 Nanga Désiré COULIBALY 2.1 Introduction: Ivorian context of digital technology use in the Covid-19 period 15 2.1.1 Literature and defining the Covid-19 problem in the Ivorian context 17 2.1.2 Objectives and research questions 18 2.2 Conceptualization of the social uses of technology in public communication 19 2.3 Collection and method for analyzing ambivalent uses of digital social media in the face of Covid-19 in Côte d’Ivoire 21 2.4 Digital social media, a popular source of information about the pandemic and a source of rumors and miscommunication 22 2.4.1 Digital social media, the preferred source of information 22 2.4.2 Rumors and fake news on digital social media, a remedy for miscommunication 26 2.5 Conclusion: understanding the ambivalence of digital social media use in times of Covid-19 27 2.6 References 30 Chapter 3 Fake News and Anti-Covid-19 Vaccines: Analysis of Facebook Users in Burkina Faso 33 Marcel BAGARE 3.1 Introduction 33 3.2 Methodology 36 3.3 The profiles of Facebook users and their content 37 3.4 Fake news in the representation of vaccine risks 43 3.4.1 The Covid-19 vaccine makes women infertile 44 3.4.2 Covid vaccines cause neurodegenerative diseases 46 3.4.3 Bill Gates and his geo-tagged vaccine against Covid 47 3.5 Facebook users confront the vaccine communication strategy and fake news 49 3.6 Conclusion 52 3.7 References 53 Part 2 Covid, Art and Culture 59 Chapter 4 Covid-19 Crisis and Musical Creation for Public Awareness in Africa 61 Julien ATCHOUA 4.1 Introduction: musical creation for prevention 61 4.1.1 Music as a support mechanism and collective commitment 61 4.1.2 Covid-19, a reality in Africa 62 4.1.3 The fundamental questions 64 4.2 Musical information and the Covid-19 crisis in Africa: collecting and deciphering content 65 4.2.1 Objective of the approach 65 4.2.2 Review and analysis of the corpus 65 4.3 Musical works for health prevention 67 4.3.1 Health awareness and music creation in Africa 67 4.3.2 Music as a medium for raising health awareness 68 4.3.3 The issue of health governance in creating music 71 4.4 Conclusion 74 4.4.1 The Covid-19 crisis in Africa: a prevention emergency 74 4.4.2 Music as a communication medium for health 74 4.5 References 76 Chapter 5 Rethinking Theatrical Performances in the Covid-19 Era: Strategies and Perspectives 79 Losséni FANNY 5.1 Introduction 79 5.2 Brief status of Ivorian theatrical performances before Covid-19 81 5.2.1 The glory years of theatrical performances 81 5.2.2 Theatrical performances facing difficulties 82 5.3 The situation of theatrical performances during Covid-19 84 5.3.1 The negative effects of Covid-19 on theatrical performances 84 5.3.2 Positive effects of Covid-19 on theatrical performances 86 5.4 Theatrical representations: resilience and resistance 88 5.4.1 Theatrical performances as a source of social resilience during Covid-19 88 5.4.2 Prospects for theater in situations of a health crisis 91 5.5 Conclusion 92 5.6 References 93 Chapter 6 Tourism and the Pandemic: How to be Resilient and Creative Thanks to NICTs Case study: Aloha Surf Camp in Morocco 95 Hanane MABROUK and John VAN DEN PLAS 6.1 Introduction 95 6.2 Research methodology 97 6.2.1 Field surveys using ethnographic and sociological methods 97 6.2.2 Research scope 99 6.3 Some geographical, economical and cultural notions of Moroccan surf tourism 100 6.3.1 Tourism in Morocco 101 6.3.2 The Bay of Taghazout: a flagship destination for “surf” and “luxury” tourism 101 6.3.3 Cultural diversity 102 6.3.4 Surf camps 103 6.4 Conceptual framework 105 6.4.1 Tourism and social networks 105 6.4.2 Digital nomadism 106 6.5 Results and discussions 108 6.5.1 Case study: Aloha surf camp 108 6.5.2 The surf camp 108 6.5.3 Crisis management: between resilience and innovation 110 6.5.4 From surfing tourists to nomadic artists 110 6.5.5 Perspectives for “Aloha” projects 111 6.6 Conclusion 112 6.7 References 113 Part 3 Business, Education and Covid 115 Chapter 7 Digital Technologies to Support Learning in the University Environment During the Pandemic at UFHB: From Hope to Disillusionment 117 Jean-Jacques Maomra BOGUI 7.1 Introduction 117 7.2 Digital technologies to support training in the university environment 119 7.3 Difficulties when appropriating ICTs within academic institutions in Africa 120 7.4. Improved access to ICTs, the digital divide in secondary education 121 7.5 The Covid-19 pandemic as a catalyst for the integration of ICTs into pedagogy and learning in the university setting 122 7.6 Methodology: meeting the students 124 7.7 Focus group characteristics 125 7.8 Smartphones, the students’ tool of choice 125 7.9 UFHB students’ perception of online learning 126 7.10 Pedagogy and experience of online courses 126 7.11 DSIC student critiques of the online training experience 127 7.12 Student suggestions for improving the organization of online courses 127 7.13 Discussion of the survey results 128 7.14 Conclusion 129 7.15 References 129 Chapter 8 The Use of ICT by Students of the University Ibn Zohr During Covid-19: Uses and Representations 133 Abderrahmane AMSIDDER, Samar CHAKHRATI and Semaya EL BOUTOULY 8.1 Introduction 133 8.2 Contextualization 134 8.3 Objective 134 8.4 Issue 134 8.5 Theoretical framework 135 8.6 Methodology and presentation of the tool 136 8.6.1 Sample 136 8.6.2 Questionnaire 136 8.7 Results and discussion 137 8.7.1 Some results related to the use and representations of ICT among students 138 8.7.2 Interpreting the survey results 142 8.8 Conclusion 142 8.9 References 144 Chapter 9 Digital Communication for the Continuity of Socioeconomic Activities in Times of Covid-19 in Côte d’Ivoire: An Inventory of the Uses of ICTs 147 Bassémory KONÉ 9.1 Introduction 147 9.2 Key theories 149 9.3 Method 150 9.4 The deployment of digital communication for socioeconomic activities 150 9.4.1 Political-administrative activities in times of Covid-19 151 9.4.2 Digital technology at the service of companies 152 9.4.3 Online courses in the education/training sector 153 9.4.4 Religious services 155 9.4.5 Identified obstacles 156 9.5 Recommendations to better adapt digital communication to managerial approaches 157 9.5.1 A greater commitment from the state 157 9.5.2 Greater involvement of civil society 157 9.6 Conclusion 158 9.7 References 158 List of Authors 161 Index 163

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Book SynopsisThe Institutional Research profession is currently experimenting with many strategies to assess institutional effectiveness in a manner that reflects the letter and spirit of their unique mission, vision, and values. While a "best-practices" approach to the measurement and assessment of institutional functions is prevalent in the literature, a machine learning approach that synthesizes these parts into a coherent and synergistic approach has not emerged. A Machine Learning, Artificial Intelligence Approach to Institutional Effectiveness in Higher Education presents a practical, effective, and systematic approach to the measurement, assessment, and sensemaking of institutional performance. Included are instruments and strategies to measure and assess the performance of Curriculum, Learning, Instruction, Support Services, and Program Feasibility as well as a meaningful Environmental Scanning method. The data collected in this system are organized into assessments of institutional effectiveness through the application of machine learning data processes that create an artificial intelligence model of actual institutional performance from the raw performance data. This artificial intelligence is visualized through five organizational sensemaking approaches to monitor, demonstrate, and improve institutional performance. Thus, this book provides a set of tools that can be adopted or adapted to the specific intentions of any institution, making it an invaluable resource for Higher Education administrators, leaders and practitioners.Trade ReviewMoye, a consultant who focuses on the research and development of systematic assessments to measure the effectiveness of unique institutions, outlines an approach to the systematic assessment of institutional effectiveness in higher education, using strategies of performance measurement, assessment, and sensemaking and a science-based approach grounded in principles of machine learning and artificial intelligence. The method is based on data that measure the performance of institutional functions at the point of interaction with constituents, allowing for leaders and managers to have credible and trustworthy evidence to inform decisions. He discusses designing, measuring, and assessing effectiveness; creating shared mission, vision, and values; measuring and assessing program structure, instruction, and support services; identifying the drivers and constraints of performance through functional data modeling; institutional data modeling; and continuous quality improvement. -- 2019 * Portland, OR *Table of ContentsChapter 1. Defining, Measuring, and Assessing Effectiveness Chapter 2. Creating Shared Mission, Vision, and Values Chapter 3. Measuring and Assessing Program Structure: Intended Performance Chapter 4. Measuring and Assessing Instruction: Intended Performance Chapter 5. Measuring and Assessing Support Services: Intended Performance Chapter 6. Functional Data Modeling: Identifying the Drivers and Constraints of Actual Performance Chapter 7. Institutional Data Modeling: Looking Beyond the Data Chapter 8. Continuous Quality Improvement

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Book SynopsisThis book presents a biographical history of the field of systems thinking, by examining the life and work of thirty of its major thinkers. It discusses each thinker’s key contributions, the way this contribution was expressed in practice and the relationship between their life and ideas. This discussion is supported by an extract from the thinker’s own writing, to give a flavour of their work and to give readers a sense of which thinkers are most relevant to their own interests.Trade ReviewFrom the reviews: “Ramage and Shipp wrote this book as a textbook for a course in the UK’s Open University. … This work examines 30 major figures from all disciplines. The authors describe each figure in terms of how their work fits the ‘systems thinking’ pattern … . This book is suitable for its stated purpose as a resource tool for a course in a specialized academic discipline. Summing Up: Recommended. Upper-division undergraduates, graduate students, researchers, and faculty.” (C. G. Wood, Choice, Vol. 47 (9), May, 2010)Table of ContentsEarly Cybernetics.- Gregory Bateson.- Norbert Wiener.- Warren McCulloch.- Margaret Mead.- W. Ross Ashby.- General Systems Theory.- Ludwig von Bertalanffy.- Kenneth Boulding.- Geoffrey Vickers.- Howard Odum.- System Dynamics.- Jay Forrester.- Donella Meadows.- Peter Senge.- Soft and Critical Systems.- C. West Churchman.- Russell Ackoff.- Peter Checkland.- Werner Ulrich.- Michael Jackson.- Later Cybernetics.- Heinz von Foerster.- Stafford Beer.- Humberto Maturana.- Niklas Luhmann.- Paul Watzlawick.- Complexity Theory.- Ilya Prigogine.- Stuart Kauffman.- James Lovelock.- Learning Systems.- Kurt Lewin.- Eric Trist.- Chris Argyris.- Donald Schön.- Mary Catherine Bateson.

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Book SynopsisElectronic Value Exchange examines in detail the transformation of the VISA electronic payment system from a collection of non-integrated, localized, paper-based bank credit card programs into the cooperative, global, electronic value exchange network it is today. Topics and features: provides a history of the VISA system from the mid-1960s to the early 1980s; presents a historical narrative based on research gathered from personal documents and interviews with key actors; investigates, for the first time, both the technological and social infrastructures necessary for the VISA system to operate; supplies a detailed case study, highlighting the mutual shaping of technology and social relations, and the influence that earlier information processing practices have on the way firms adopt computers and telecommunications; examines how “gateways” in transactional networks can reinforce or undermine established social boundaries, and reviews the establishment of trust in new payment devices.Trade ReviewFrom the reviews:“David L. Stearns argues in Electronic Value Exchange: Origins of the Visa Electronic Payment System that the job of a historian of technology is to make invisible technologies visible again. Certainly, he has achieved this goal. … Stearns’ Electronic Value Exchange is a much-needed contribution to the literature.” (Joline Zepcevski, Enterprise and Society, Vol. 13 (2), June, 2012)“In this well-written, concise volume Stearns … details both the technological and organizational challenges that Visa had to overcome in order to link merchants and financial institutions into a seamless worldwide electronic network. … a valuable contribution to not only the history of technology, but the broader fields of financial, consumer, and business history. … Among the many strengths of this book is its crystal clear writing style. … Overall, Electronic Value Exchange will be of interest to a wide variety of scholars.” (David L. Mason, EH, February, 2012)“Stearns offers a fascinating narrative that navigates somewhere between the sociology of finance, social studies of technology, retail banking and business history. … There is an alphabetic index and most references appear as footnotes. … There is also a list of interviewees and a helpful list of acronyms. … The style is open and quite engaging, the discussion is easy to follow … . developments are explained largely without jargon and with the non-specialist reader very much in mind.” (NEP-HIS blog, February, 2012)“Book provides a socio-technical account of VISA, a banking service to which banks that issued cards belonged and that sold card-processing services to merchants. … a readable volume, based on an extensive set of interviews of protagonists of the story and on secondary theoretical and banking literature. … a welcome addition to the history of banking and of information technologies, and a useful example of how to examine the role of any modern technology within the cultural and operational context in which it is used.” (James W. Cortada, Technology and Culture, Vol. 53, January, 2012)“In this book from the ‘History of Computing’ series from Springer, Stearns looks at the origins of the VISA electronic payment system. … Stearns combines many of these aspects into a very readable book, covering the historical growth of VISA, the personalities involved in its rise, and the computing technology that underpins the organization. Swiping my VISA card will never be quite the same again.” (David B. Henderson, ACM Computing Reviews, August, 2011)Table of ContentsSetting the Stage: Money, Credit, and Payments in America Associating: Dee Hock and the Creation of the Organization Crafting the Social Dynamics: Staffing, Operating Regulations, and Advertising Automating Authorization: BASE Automating Clearing and Settlement: BASE II and III Expanding the System: Organizational and Technical Growth Automating the Point of Sale: Encoding Standards and Merchant Dial Terminals Challenging Conceptual Barriers: EFT and The Debit Card Negotiating Roles: Controversies and the End of an Era Conclusions: Towards a General Socio-technical History of Payment Systems

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Book SynopsisThis book shows how the unique characteristics of traditionally differentiated media continue to determine narrative despite the recent digital convergence of media technologies. The author argues that media are now each largely defined by distinctive industrial practices that continue to preserve their identities and condition narrative production. Furthermore, the book demonstrates how a given medium’s variability in institutional and technological contexts influences diverse approaches to storytelling. By connecting US film, television, comic book and video game industries to their popular fictional characters and universes; including Star Wars, Batman, Game of Thrones and Grand Theft Auto; the book identifies how differences in industrial practice between media inform narrative production. This book is a must read for students and scholars interested in transmedia storytelling. Trade Review“A solid and engaging examination of narrative and medium in the entertainment industries that will appeal to scholars in a wide range of fields related to media studies. This is an ambitious manuscript that accomplishes its goal of discussing the narrative differences between and within serial media in the current entertainment industries. … One of the things that makes this book such a joy to read is the wealth of information provided here.” (Jessica Bay, Projections, Vol. 15 (1), 2021)“This is an impressive study, drawing on significant archival resources, that dazzles with the breadth of knowledge of different fields, … to simplify occasionally.” (Elke Weissmann, Critical Studies in Television, Vol. 14 (1), 2019)Table of Contents1. Introduction2. Narratives in the Media Convergence Era: The Industrial Dimensions of Medium Specificity.3. Economic Specificity in Narrative Design: the Business of Television Drama Storytelling.4. Audience Specificity in Narrative Design: Comic-Book Storytelling in the Inclusivity Era.5. Technological Specificity in Narrative Design: Story-Driven Videogame Series in an Upgrade Culture.6. Conclusion.

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Book SynopsisThis book constitutes the refereed post-conference proceedings of 4 workshops, held at the 5th International Conference on Internet Science, St. Petersburg, Russia, in October 2018: Workshop 1 : Detecting Social Problems in Online Content, Workshop 2: CONVERSATIONS, Workshop 3: The Future of Decentralized Governance: A Workshop on Encryption,Blockchains, and Personal Data, and Workshop 4: Internet as an issue: An international workshop on governmentand media narratives. The 20 full papers presented together with 4 short papers were carefully reviewed and selected from 38 submissions. The contributions of the Workshop 1: Detecting Social Problems in Online Content has united Russian scholars who work upon Russian-language datasets. Workshop 2: CONVERSATIONS: An international workshop on chatbot research and design regularly discusses the novel issues in their research and production area. Workshop 3: The Future of Decentralized Governance: A Workshop on Encryption, Blockchains, and Personal Data. At this workshop scholars and industry representatives from France, the Netherlands, the UK, and Russia have discussed distributed governance technologies based on blockchain and other privacy-protecting technologies. Workshop 4: Internet as an issue: An international workshop on government and media narratives took a rare approach and regarded Internet as a focus for public discussion. Table of ContentsDetecting Social Problems in Online Content.- CONVERSATIONS 2018 - 2nd International Workshop on Chatbot Research.- The Future of Decentralized Governance Workshop.- Internet as an Issue: an International Workshop on Government andMedia Narratives.

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Book SynopsisThis book constitutes the proceedings of the 15th International Conference on Intelligent Tutoring Systems, ITS 2019, held in Kingston, Jamaica, in June 2019. The 14 full papers and 13 short papers presented in this volume were carefully reviewed and selected from 42 submissions. In the back matter of the volume 4 poster papers are included. They deal with the use of advanced computer technologies and interdisciplinary research for enabling, supporting, and enhancing human learning.Table of ContentsA Learning Early-warning Model Based on Knowledge Points.- Adaptive Learning Spaces with Context-Awareness.- Agents’ Cognitive vs. Socio-affective Support in Response to Learner’s Confusion.- An Adaptive Approach to Provide Feedback for Students in Programming Problem Solving.- Analysis and Prediction of Student Emotions While Doing Programming Exercises.- Analyzing Best Hints for a Programming IST.- Analyzing the Group Formation Process in Intelligent Tutoring Systems.- Analyzing the usage of the classical ITS software architecture and refining it.- Assessing Students’ Clinical Reasoning using Gaze and EEG Features.- Computer-Aided Intervention for Reading Comprehension Disabilities.- Conceptualization of IMS that Estimates Learners’ Mental States from Learners’ Physiological Information Using Deep Neural Network Algorithm.- Data-Driven Student Clusters Based on Online Learning Behavior in a Flipped Classroom with an Intelligent Tutoring System.- Decision Support for an Adversarial Game Environment using Automatic Hint Generation.- Detecting Collaborative Learning through Emotions: An Investigation using Facial Expression Recognition.- Fact Checking Misinformation Using Recommendations from Emotional Pedagogical Agents.- Intelligent On-line Exam Management and Evaluation System.- Learning by Arguing in Argument-Based Machine Learning Framework.- Model for data analysis process and its relationship to the hypothesis-driven and data-driven research approaches.- On the discovery of educational patterns using biclustering.- Parent-Child Interaction in Children's Learning How to Use a New Application.- Patterns of Collaboration Dialogue Acts in Typed-Chat Group Problem-Solving.- PKULAE: A Learning Attitude Evaluation Method Based on Learning Behavior.- Predicting MOOCs Dropout Using only two easily obtainable Features from the First Week’s Activities.- Predicting subjective enjoyment of aspects of a videogame from psychophysiological measures of arousal and valence.- Providing the Option to Skip Feedback – A Reproducibility Study.- Reducing Annotation Effort in Automatic Essay Evaluation Using Locality Sensitive Hashing.- Representing and Evaluating Strategies for Solving Parsons Puzzles.- Testing the Robustness of Inquiry Practices once Scaffolding is Removed.- Toward Real-Time System Adaptation using Excitement Detection from Eye Tracking.- Towards Predicting Attention And Workload During Math Problem Solving.- Using a Simulator to Choose the Best Hints in a Reinforcement Learning-Based Multimodal ITS.

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Book SynopsisThe main goal of this book is to explain the core ideas of process mining, and to demonstrate how they can be implemented using just some basic tools that are available to any computer scientist or data scientist. It describes how to analyze event logs in order to discover the behavior of real-world business processes. The end result can often be visualized as a graph, and the book explains how to use Python and Graphviz to render these graphs intuitively. Overall, it enables the reader to implement process mining techniques on his or her own, independently of any specific process mining tool. An introduction to two popular process mining tools, namely Disco and ProM, is also provided. In this second edition the code snippets have been updated to Python 3, and some smaller errors have been corrected.The book will be especially valuable for self-study or as a precursor to a more advanced text. Practitioners and students will be able to follow along on their own, even if they have no prior knowledge of the topic. After reading this book, they will be able to more confidently proceed to the research literature if needed.Table of ContentsEvent Logs.- Control-Flow Perspective.- Organizational Perspective.- Performance Perspective.- Process Mining in Practice.

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Book SynopsisDespite the ever-increasing interest in eye tracking, there is still no comprehensive work on the potential and applications of table-mounted and mobile head-mounted eye tracking solutions in travel and tourism. This volume bridges that gap, effectively linking eye tracking with travel and tourism. It presents, on the one hand, novel academic contributions on the concept of eye tracking, and on the other, practice-oriented case studies that illustrate the use and strategic value of eye tracking in travel and tourism. It provides concrete and novel insights into tourist behavior and the tourist consumer experience and, for the academic community, offers a comprehensive, scientifically based overview of the empirical, methodological, theoretical, and practical contributions of eye tracking research. Accordingly, the book will be of value to a diverse audience. It will be a useful resource for existing and future tourism businesses, allowing them to adopt proactive approaches in the design of tourism products. It will also stimulate further research in the field and inspire scholars and practitioners to combine their ideas and expertise, to look beyond supposedly fixed horizons, and to identify emerging opportunities. Trade Review“The chapters in this book provide a thorough and systematic review of the literature and reveal the detail of the experiment process, data analysis, and interpretation, which aid beginners when they first carry out eye-tracking experiments in their tourism studies. … In general, the content presentation of the book offers rich information about using a multisource approach and data triangulation with eye-tracking technology to analyzing online/offline tourist behavior while reducing the potential biases that can appear in traditional methods.” (Sunny Zhenzhen Nong and Lawrence Hoc Nang Fong, Information Technology & Tourism, Vol. 23, 2021)Table of ContentsChapter 1: Introduction to Eye Tracking in Tourism. Part I: Eye tracking methods, concepts and applications. Chapter 2: A review of eye-tracking methods in tourism research. Chapter 3: Best practice for eye-tracking studies: DOs and DON’Ts. Chapter 4: Eye-tracking: Evaluation, potential, and limitations of field applications. Chapter 5: Knowledge Co-Creation through Eye Tracking in Tourism. Part II: Eye tracking research and case studies. Chapter 6: The Relevance of Eye-Tracking to Understand Users’ Practices and Content Interpretation in Tourism-related Online Navigation. Chapter 7: Areas of Interest on Destination Websites: A Generation Y’s Perspective. Chapter 8: Measurement of visual attention to advertising using eye-tracking techniques. Chapter 9: User Experience Improvement for Online Travel Agencies through Eye-tracking – the Onlineweg.de Case Study. Chapter 10: Areas of interest for a CSR certificate on touristic websites: An eye tracking experiment using the example of TourCert. Chapter 11: Acquiring sustainability information in holiday travel. Chapter 12: The museum learning experience through the visitors’ eyes: An eye tracking exploration of the physical context. Chapter 13: Using Mobile Eye-Tracking to Inform the Development of nature tourism Destinations in Iceland. Chapter 14: Viewing behaviour and task performance on Austrian destination websites: Comparing Generation Y and the Baby Boomers.

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Book SynopsisThis book shows the capabilities of Microsoft Excel in teaching human resource management statistics effectively. Similar to the previously published Excel 2016 for Human Resource Management Statistics, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical human resource management problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in human resource management courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2019 for Human Resource Management Statistics: A Guide to Solving Practical Problems, 2nd Edition, capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand human resource management problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned.Table of ContentsPreface.- Acknowledgements.- 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean.- 2 Random Number Generator.- 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing.- 4 One-Group t-Test for the Mean.- 6 Correlation and Simple Linear Regression.- 7 Multiple Correlation and Multiple Regression.- 8 One-Way Analysis of Variance (ANOVA).- Appendix A: Answers to End-of-Chapter Practice Problems.- Appendix B: Practice Test.- Appendix C: Answers to Practice Test.- Appendix D: Statistical Formulas.- Appendix E: t-table.- Index.

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Book SynopsisThis open access book describes methods for research on and research through design. It posits that ethnography is an appropriate method for design research because it constantly orients itself, like design projects, towards social realities. In research processes, designers acquire project-specific knowledge, which happens mostly intuitively in practice. When this knowledge becomes the subject of reflection and explication, it strengthens the discipline of design and makes it more open to interdisciplinary dialogue. Through the use of the ethnographic method in design, this book shows how design researchers can question the certainties of the everyday world, deconstruct reality into singular aesthetic and semantic phenomena, and reconfigure them into new contexts of signification. It shows that design ethnography is a process in which the epistemic and creative elements flow into one another in iterative loops. The goal of design ethnography is not to colonize the discipline of design with a positivist and objectivist scientific ethos, but rather to reinforce and reflect upon the explorative and searching methods that are inherent to it. This innovative book is of interest to design researchers and professionals, including graphic artists, ethnographers, visual anthropologists and others involved with creative arts/media. Table of ContentsChapter 1. Introduction.- Chapter 2. The Blind Spot.- Chapter 3. The Everyday World and Intersubjectivity.- Chapter 4. Design Research: Immersion and Intervention.- Chapter 5. Methods and Aspects of Field Research.- Chapter 6. Analysis.- Chapter 7. Representation and reporting.- Chapter 8. Epilogue.

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Book SynopsisThis book features the latest research in the area of immersive technologies, presented at the 6th International Augmented Reality and Virtual Reality Conference, held in online in 2020. Bridging the gap between academia and industry, it presents the state of the art in augmented reality (AR) and virtual reality (VR) technologies and their applications in various industries such as marketing, education, health care, tourism, events, fashion, entertainment, retail and the gaming industry.The book is a collection of research papers by prominent AR and VR scholars from around the globe. Covering the most significant topics in the field of augmented and virtual reality and providing the latest findings, it is of interest to academics and practitioners alike.Table of ContentsHow To Design Effective AR Retail Apps.- The Role of Mental Imagery as Driver to Purchase Intentions in a Virtual Supermarket.- User responses towards Augmented Reality face filters: Implications for social media and brands.- Can You Make the Cut? Exploring the Effect of Frequency of Cuts in Virtual Reality Storytelling.- Incorporation of augmented-reality technology into smartphone app for large-scale performance art.- Testing Mixed Reality Experiences and Visitor’s Behaviours in a Heritage Museum.- Interactive Mixed Reality Technology for Boosting the Level of Museum Engagement.- Too real for comfort: Measuring Consumers’ Augmented Reality Information Privacy Concerns.- The Proteus Effect: How Avatars Influence Their Users’ Self-Perception and Behaviour.- Modifying the Technology Acceptance Model To Investigate Behavioural Intention To Use Augmented.- Using Virtual Reality as a form of Simulation in the context of Legal Education

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Book SynopsisThis book presents comprehensive coverage of the latest advances in research into enabling machines to listen to and compose new music. It includes chapters introducing what we know about human musical intelligence and on how this knowledge can be simulated with AI. The development of interactive musical robots and emerging new approaches to AI-based musical creativity are also introduced, including brain–computer music interfaces, bio-processors and quantum computing.Artificial Intelligence (AI) technology permeates the music industry, from management systems for recording studios to recommendation systems for online commercialization of music through the Internet. Yet whereas AI for online music distribution is well advanced, this book focuses on a largely unexplored application: AI for creating the actual musical content.Table of ContentsPart I: Understanding Musical IntelligenceCognitive Neuroscience of Music Stefan Koelsh The Musical Brain Aniruddh Patel The Neuroscience of Musical Improvisation Psyche Loui Part II: Machine Perception and Analysis Machine Listening of Music Juan Pablo Bello Convolutional Neural Networks for Audio Spectrogram Representation Lonce Wyse Robot Musicianship Gil Weinberg Robot Understanding of Conductor Gestures Atsuo Takahishi Human-Robot Emotional Musical Interaction Massimiliano Zecca Machine Recognition of Musical Emotion Yi-Hsuan Yang and Homer H. Chen Optical Recognition of Music Notation Ana Bebelo Music Transcription: from Audio to Music Notation Emmanouil Benetos Machine Learning System for Harmonic Analysis of Music Tijl De Bie Machine Learning of Jazz Jon Gillick Artificial Intelligence Data Mining for Music Tao Li Machine Learning of Body Movement in Instrumental Music Performance Federico Visi Machine Learning of Orchestral Conductor’s Baton Movements Donald G. Dansereau Machine Recognition of Music Emotion Yi-Hsuan Yang and Homer H. Chen Part III: Machine Composing and Performance Flow Machines Francois Pachet Machine Improvisation Shlomo Dubnov Artificial Agents for Collaborative Free Improvisation Adam Linson Symbolic Computational Creativity David Cope Tracing the Compositional Process Hanns Holger Rutz Composing with Intelligent Interactive Musical Agents Marcelo Gimenes Creating Music Autonomously with Evolutionary Algorithms Francisco J. Vico Constraint-Solving System for Generating Music Scores Orjan Sandred Constraint Modeling of Music Theories Torsten Anders Machine Learning Algorithm for Musical Composition Rebecca Fierbink An Artificial Intelligence Approach to Concatenative Sound Synthesis Noris Modh Norowi Sound Synthesis with Deep Neural Networks Jesse Engel On Computer-Aided Orchestration Marcelo Caetano Gesture Data in Musical Composition Marlon Schumacher and Marcelo Wanderley Surveying Systems for Expressive Musical Performance by Computer Alexis Kirke Computer-Assisted Analysis of Musical Interpretation Gerhard Widmer Gesture Recognition in Interactive Music Performance Dan Overholt Designing Constraints for Composition and Performance with Computers Thor Magnusson Part IV: Emerging Developments in Musical AI Machine Learning for Brain-Computer Music Interfacing Eduardo R. Miranda and Satvik Venkatesh Biological Neural Networks Synthesiser Guy Ben-Ary Sound and Music Biocomputing Eduardo R. Miranda and Edward Braund Musical Machine Learning with Biomemristors Eduardo R. Miranda and Edward Braund The Dawn of Quantum Computer Music Eduardo R. Miranda

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Book SynopsisThis Pivot investigates the impact of the digital on literary culture through the analysis of selected marketing narratives, social media stories, and reading communities. Drawing on the work of contemporary writers, from Bernardine Evaristo to Patricia Lockwood, each chapter addresses a specific tension arising from the overarching question: How has writing culture changed in this digital age? By examining shifting modes of literary production, this book considers how discourses of writing and publishing and hierarchies of cultural capital circulate in a socially motivated post-digital environment. Writing Cultures and Literary Media combines compelling accounts of book trends, reader reception, and interviews with writers and publishers to reveal fresh insights for students, practitioners, and scholars of writing, publishing, and communications. Table of ContentsIntroduction.- Chapter 1 Convergence culture: new book concepts for new audiencesChapter 2 Futurebook critics and cultural curators in a socially networked ageChapter 3 Curses and verses: Social media and the shock of the new in poetry and criticismChapter 4 Authentic fictions: Marketing stick storiesChapter 5 Visual editions: The analogue renaissance in an age of storytellingConclusion

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Book SynopsisThe 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021.The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows: Part I: Applications of knowledge discovery and data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics; Part III: Representation learning and embedding, and learning from data.Table of ContentsRepresentation Learning and Embedding.- Episode Adaptive Embedding Networks for Few-shot Learning.- Universal Representation for Code.- Self-supervised Adaptive Aggregator Learning on Graph.- A Fast Algorithm for Simultaneous Sparse Approximation.- STEPs-RL: Speech-Text Entanglement for Phonetically Sound Representation Learning.- RW-GCN: Training Graph Convolution Networks with biased random walk for Semi-Supervised Classification.- Loss-aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models.- SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network.- VIKING: Adversarial Attack on Network Embeddings via Supervised Network Poisoning.- Self-supervised Graph Representation Learning with Variational Inference.- Manifold Approximation and Projection by Maximizing Graph Information.- Learning Attention-based Translational Knowledge Graph Embedding via Nonlinear Dynamic Mapping.- Multi-Grained Dependency Graph Neural Network for Chinese Open Information Extraction.- Human-Understandable Decision Making for Visual Recognition.- LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding.- Transferring Domain Knowledge with an Adviser in Continuous Tasks.- Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach.- Quality Control for Hierarchical Classification with Incomplete Annotations.- Learning from Data.- Learning Discriminative Features using Multi-label Dual Space.- AutoCluster: Meta-learning Based Ensemble Method for Automated Unsupervised Clustering.- BanditRank: Learning to Rank Using Contextual Bandits.- A compressed and accelerated SegNet for plant leaf disease segmentation: A Differential Evolution based approach.- Meta-Context Transformers for Domain-Specific Response Generation.- A Multi-task Kernel Learning Algorithm for Survival Analysis.- Meta-data Augmentation based Search Strategy through Generative Adversarial Network for AutoML Model Selection.- Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction.- Rule Injection-based Generative Adversarial Imitation Learning for Knowledge Graph Reasoning.- Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition.- Reinforced Natural Language Inference for Distantly Supervised Relation Classification.- SaGCN: Structure-aware Graph Convolution Network for Document-level Relation Extraction.- Addressing the class imbalance problem in medical image segmentation via accelerated Tversky loss function.- Incorporating Relational Knowledge in Explainable Fake News Detection.- Incorporating Syntactic Information into Relation Representations for Enhanced Relation Extraction.

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Book SynopsisThis open access book will examine the implications of digitalization for the understanding of humanity, conceived as a community of intelligent agency. It addresses important topics across a range of social and behavioral theories and identifies a range of novel mechanisms and their social behavioral effects. Across the book, the author highlights the expansion of intelligent processing capability brought about by digitalization and the challenges this exposes for integrating artificial and human capabilities. It includes the altered effects of bounded rationality in problem solving and decision making; related changes in the perception of rationality, plus novel myopias and biases. It also seeks to address cognitive intersubjectivity, learning from performance and agentic self-generation; and the novel methods and patterns of reasoned thought which emerge in a digitalized world; and how these mechanisms will combine in making and remaking the world of human experience and understanding. This book examines the problematics and prospects for digitally augmented humanity. In doing so, it maps the terrain for a future science of augmented agency. It will have cross-disciplinary appeal to students and scholars of applied psychology, cognitive and behavioral science, organizational psychology and management, business, finance, and digital cultures and humanities.Trade Review“This book provides an insightful introduction to the social and behavioral implications of human-computer integration, aimed at a wide audience from both human and computer sciences. The proposed conceptualization of augmented agency can provide a structural basis for exploring intelligence augmentation and promote further research in the field.” (Evangelia Kavakli, Computing Reviews, October 5, 2022)Table of ContentsChapter 1: Modeling Augmented HumanityChapter 2: Historical Metamodels of AgencyChapter 3: Agentic ModalityChapter 4: Problem SolvingChapter 5: Cognitive EmpathyChapter 6: Self-RegulationChapter 7: Evaluation of PerformanceChapter 8: LearningChapter 9: Self-GenerationChapter 10: Toward a Science of Augmented Agency

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Book SynopsisThis book presents the latest research into CSS methods, uses, and results, as presented at the 2019 annual conference of the CSSSA. This conference was held in Santa Fe, New Mexico, October 24 – 27, 2019, at the Drury Plaza Hotel. What follows is a diverse representation of new results and approaches for using the tools of CSS and agent-based modeling (ABM) for exploring complex phenomena across many different domains. Readers will therefore not only have the results of these specific projects on which to build, but will also gain a greater appreciation for the broad scope of CSS, and have a wealth of case-study examples that can serve as meaningful exemplars for new research projects and activities. The Computational Social Science Society of the Americas (CSSSA) is a professional society that aims to advance the field of CSS in all its areas, from fundamental principles to real-world applications, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing novel research findings.Table of ContentsBrian Goode, and Bianica Pires: Encoding Protest Duration in an Agent-Based Model as Characteristic PhaseTransitions Saeed Langarudi, Ashley Page, Connie Maxwell, Yining Bai, Babak Bahaddin, and Alexander Fernald: System-wide Policy Solutions for Water Scarcity Issues D. Cale Reeves, and Varun Rai: More or Faster? Technology Subsidy Policy, Additional Adoptions, and Accelerated Diffusion Anuj Mittal, Nilufer Oran Gibson, and Caroline Krejci: Assessing the Potential of Crowd-shipping for Food Rescue Logistics Using Agent-based Modeling Daria Roithmayr, Fei Fang, and Justin Chin: The Cat and Mouse Dynamics of Getting Around the Law Srikanth Mudigonda, and Milton Friesen: Social Primitives: Exploring Spark of Life Collective Behavior in Agent Based Models Rajesh Venkatachalapathy, Stephen Davies, and William Nehrboss: Wealth dynamics in the presence of network structure and primitive cooperation Amirarsalan Rajabi, Seyyedmilad Talebzadehhosseini, and Ivan Garibay: Resistance of Communities Against Conspiracies Yiding Cao, Yingjun Dong, Minjun Kim, Neil Maclaren, Ankita Kulkarni, Shelley Dionne, Francis Yammarino, and Hiroki Sayama. Capturing the Production of Innovative Ideas: An Online Social Network Experiment and “Idea Geography” Visualization Zahrieh Yousefi, Dietmar Heinke, Ian Apperly, and Peer-Olaf Siebers: An Agent-Based Model to Understand Simple Theory of Mind: Belief Representation Systematic Approach (BRSA) Loren Demerath, James Reid, and E. Dante Suarez: A Model of Emergence featuring Social Mechanisms of Information Compression Juan Salamanca, and Santiago Núñez-Corrales: Social viscosity, fluidity and turbulence in collective perceptions of color: an agent-based model of color scale convergence John Silver: Electoral College: Abandoned Battlegrounds An Agent-Based Model of Campaign Behavior Change with Proportional Allocation of Electors Eric Castellanos, Hang Xie, and Paul Brenner: Global News Sentiment Analysis Amira Al-Khulaidy, and Valentin Vergara Hidd: Corruption and the effects of influence within social networks: An agent-based model of the Lava Jato scandal. *Ece Mutlu, and Ivan Garibay: The Degree-Dependent Threshold Model: Towards a Better Understanding of Opinion Dynamics on Online Social Networks Melissa Vigil, Thi Nguyen, and Ellen Badgley: Inside the Mind of the Nonfiler: An Agent-Based Modeling Approach Paul Davis, Tim McDonald, Ann Pendleton-Jullian, Angela O'Mahony, and Osonde Osoba: A Complex-Systems Agenda for Influencing Policy Analysis Jeffrey Schank: The Evolution of Sharing in the Dictator Game Niloofar Bagheri-Jebelli, Andrew T. Crooks, and William G. Kennedy: Capturing the Effects of Gentrification on Property Values: An Agent-Based Modeling Approach Chathika Gunaratne, Subash Ray, Caroline Alves, and Maria Waldl: Exogenous Shocks Lead to Increased Responsiveness and Shifts in Sentimental Resilience in Online Discussions Zhihao Hu, Xinwei Deng, Achla Marathe, Samarth Swarup and Anil Vullikanti: Decision-Adjusted Modeling for Imbalanced Classification: Predicting Rooftop Solar Panel Adoption in Rural Virginia Gamaliel Palomo, Mario Siller, Arnaud Grignard, and Luis Alonso: An agent-based model of social fabric seen as an emergent behavior in cities Amanda Song, Chad Atalla, Bartholomew Tam, Linjie Li, and Garrison Cottrell: Modifying human facial impression Elizabeth von Briesen, Amy Canevello, Samira Shaikh, John Cox, and Mirsad Hadžikadić: Modeling Genocide: An Agent-Based Model of Bystander Motivation and Societal Restraints Ivan Garibay, Toktam Oghaz, and Niloofar Yousefi: Deep Agent: A Framework for Information Spread and Evolution in Social Networks Nisha Baral, Chathika Gunaratne, Chathura Jayalath, William Rand, Chathurani Senevirathna, and Ivan Garibay: Negative Influence Gradients Lead to Lowered Information Processing Capacity on Social Networks David Dixon: Complex Systems Analysis of Transplant Center Performance Metrics

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Book SynopsisThis open access State-of-the-Art Survey describes and documents the developments and results of the Once-Only Principle Project (TOOP). The Once-Only Principle (OOP) is part of the seven underlying principles of the eGovernment Action Plan 2016-2020. It aims to make the government more effective and to reduce administrative burdens by asking citizens and companies to provide certain standard information to the public authorities only once.The project was horizontal and policy-driven with the aim of showing that the implementation of OOP in a cross-border and cross-sector setting is feasible. The book summarizes the results of the project from policy, organizational, architectural, and technical points of view. Table of ContentsThe Once-Only Principle: A Matter of Trust.- Implementation of the 'once-only' principle in Europe – national approaches.- Drivers for and Barriers to the Cross-Border Implementation of the Once-Only Principle - Once-Only Principle Good Practices in Europe.- The Single Digital Gateway Regulation as an Enabler and Constraint of Once-Only in Europe.- Legal Basis and Regulatory Applications of the Once-Only Principle: the Italian Case.- TOOP Trust Architecture.- The Technical challenges in OOP application across the European Union and the TOOP OOP architecture.- Testing methodology for the TOOP pilots.- TOOP pilot experiences: challenges and achievements in implementing once-only in different domains and Member States.- Measuring the Impact of the Once Only Principle for Businesses Across Borders.- The Future of the Once-Only Principle in Europe.

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Book SynopsisThis book positions itself at the intersection of the key areas of the modern humanities. Different authors from a variety of countries take innovative approaches to investigating multimodal communication, adapting pedagogical design to digital environments and enhancing cognitive skills through transformations in teaching and learning practices. The eclectic forms under study require eclectic approaches and methodologies, and the authors cross disciplinary boundaries drawing on philosophy, linguistics, semiotics, computational linguistics, mathematics, cognitive studies and neuroaesthetics. Part I presents methods of analysing multimodal communication in its different displays, covering promotional video in crowdfunding project presentations, multimodal public signs of prohibition and visuals as arguments. Part II explores varied teaching methodologies that have emerged as a result of and in response to modern technological changes and contains some practical hints for educators. It demonstrates the pedagogical potential of video games, virtual worlds, linguistic corpora and online dictionaries. Part III focuses on psychological and cognitive factors influencing success in the classroom, primarily, ways of developing students’ and teachers’ personalities. The volume sits at the intersection between Communication Studies, Digital Humanities, Discourse Analysis, Education Theory and Cognitive Studies and is useful to scholars and students of communication, languages, education and other areas of the humanities. This book should trigger scholarly discussions as well as stimulating practitioners’ interest in these fields.Table of Contents

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Book SynopsisThe Internet has changed the past. Social media, Wikipedia, mobile networks, and the viral and visual nature of the Web have inundated the public sphere with historical information and misinformation, changing what we know about our history and History as a discipline. This is the first book to chronicle how and why it matters. Why does History matter at all? What role do history and the past play in our democracy? Our economy? Our understanding of ourselves? How do questions of history intersect with today’s most pressing debates about technology; the role of the media; journalism; tribalism; education; identity politics; the future of government, civilization, and the planet? At the start of a new decade, in the midst of growing political division around the world, this information is critical to an engaged citizenry. As we collectively grapple with the effects of technology and its capacity to destabilize our societies, scholars, educators and the general public should be aware of how the Web and social media shape what we know about ourselves - and crucially, about our past. Table of Contents1. Introduction2. e-History: Not Quite History, Not Quite The Past3. The Crowd-Sourced Past4. Nostalgia On-Demand5. The Viral Past6. The Visual Past7. The Newsworthy Past8. The Storytelling Past9. History.AI10. Does History Have A Future?

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Book SynopsisChapters "Investigating the Role of Educational Robotics in Formal Mathematics Education: The Case of Geometry for 15-Year-Old Students" and "From Paper to Online: Digitizing Card Based Co-creation of Games for Privacy Education" are available open access under a Creative Commons Attribution 4.0 International License via springer.com.Table of ContentsThe Impact of Explicating Learning Goals on Teaching and Learning in Higher Education: Evaluating a Learning Goal Visualization.- Catching group criteria semantic information when forming collaborative learning groups.- The role of social practices of knowledge appropriation for sustaining TEL innovations in the classroom.- Visual Aids for Teaching Piano to Students with Autism: Designing a Web App through Practice.- Interactive and explainable advising dashboard opens the black box of student success prediction.- Investigating the role of educational robotics in formal mathematics education: a case study of geometry for 15-year-old students.- Peer Assessment Interactions and Their Temporal Dynamics Using a Graphlet-Based Method.- VLE Limits and Perspectives for Digital Integration in Teaching Practices Lessons Learned from the French Basic Education Teachers’ Experience during the COVID-19 Pandemic.- First-year university students in distance learning: motivations and early experiences.- The dire cost of early disengagement: A four-year learning analytics study over a full program.- Analysis of the ”D’oh!” moments. Physiological markers of performance in cognitive switching tasks.- Examining the Effect of Self-Explanations in Distributed Self-Assessment.- 148 Cheng-Yu Chung and I-Han Hsiao Examining the relationship between reflective writing behaviour and self-regulated learning competence: A time-series analysis.- From Paper to Online: Digitizing Card Based Co-Creation of Games for Privacy Education.- An in-depth methodology to predict at-risk learners.- A Framework to Guide Educational Technology Studies in the Evolving Classroom Research Environment.- Using Prompts and Remediation to Improve Primary School Students Self-Evaluation and Self-Efficacy in a Literacy Web Application.- Student Creativity to Design Fake News Literacy Training: An Overview of Twelve Graduate Student Projects.- Recommendations for Orchestration of Formative Assessment Sequences: a Data-driven Approach.- Surveying Teachers’ Preferences and Boundaries regarding Human-AI Control in Dynamic Pairing of Students for Collaborative Learning.- What Do Learning Designs Show about Pedagogical Adoption? An Analysis Approach and a Case Study on Inquiry-Based Learning.- On the Linguistic and Pedagogical Quality of Automatic Question Generation via Neural Machine Translation.- Developing a prototype of an Open Educational Resource on research methods for PhD candidates in Technology-Enhanced Learning.- Comparing usage in and between primary and secondary schools for a blended TEL portal.- Investigating the Associations between Emotion, Cognitive Load and Personal Learning Goals: The Case for MOOCs.- I need more motivation: Engaging Students in the Gamification Design Process.- Augmented Reality as Educational Tool: Perceptions, Challenges, and Requirements from Teachers.- Towards a self-assessment tool for teachers to improve LMS mastery based on Teaching Analytics.- Uncovering Latent Profiles Based on How Students Review Paper-based Assessments.- Orchestrating an ubiquitous learning situation about Cultural Heritage with Casual Learn.- Bibliometric Analysis of the Last Ten Years of the European Conference on Technology-enhanced Learning.

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Book SynopsisThis book constitutes the proceedings of the 24th International Conference on Discovery Science, DS 2021, which took place virtually during October 11-13, 2021.The 36 papers presented in this volume were carefully reviewed and selected from 76 submissions. The contributions were organized in topical sections named: applications; classification; data streams; graph and network mining; machine learning for COVID-19; neural networks and deep learning; preferences and recommender systems; representation learning and feature selection; responsible artificial intelligence; and spatial, temporal and spatiotemporal data. Table of ContentsApplications.- Automated Grading of Exam Responses: An Extensive Classification Benchmark.- Automatic human-like detection of code smells.- HTML-LSTM: Information Extraction from HTML Tables in Web Pages using Tree-Structured LSTM.- Predicting reach to find persuadable customers: improving uplift models for churn prevention.- Classification.- A Semi-Supervised Framework for Misinformation Detection.- An Analysis of Performance Metrics for Imbalanced Classification.- Combining Predictions under Uncertainty: The Case of Random Decision Trees.- Shapley-Value Data Valuation for Semi-Supervised Learning.- Data streams.- A Network Intrusion Detection System for Concept Drifting Network Traffic Data.- Incremental k-Nearest Neighbors Using Reservoir Sampling for Data Streams.- Statistical Analysis of Pairwise Connectivity.- Graph and Network Mining.- FHA: Fast Heuristic Attack against Graph Convolutional Networks.- Ranking Structured Objects with Graph Neural Networks.- Machine Learning for COVID-19.- Knowledge discovery of the delays experienced in reporting covid19 confirmed positive cases using time to event models.- Multi-Scale Sentiment Analysis of Location-Enriched COVID-19 Arabic Social Data.- Prioritization of COVID-19 literature via unsupervised keyphrase extraction and document representation learning.- Sentiment Nowcasting during the COVID-19 Pandemic.- Neural Networks and Deep Learning.- A Sentence-level Hierarchical BERT Model for Document Classification with Limited Labelled Data.- Calibrated Resampling for Imbalance and Long-Tails in Deep learning.- Consensus Based Vertically Partitioned Multi-Layer Perceptrons for Edge Computing.- Controlling BigGAN Image Generation with a Segmentation Network.- GANs for tabular healthcare data generation: a review on utility and privacy.- Preferences and Recommender Systems.- An Ensemble Hypergraph Learning framework for Recommendation.- KATRec: Knowledge Aware aTtentive Sequential Recommendations.- Representation Learning and Feature Selection.- Elliptical Ordinal Embedding.- Unsupervised Feature Ranking via Attribute Networks.- Responsible Artificial Intelligence.- Deriving a Single Interpretable Model by Merging Tree-based Classifiers.- Ensemble of Counterfactual Explainers. Riccardo Guidotti and Salvatore Ruggieri.- Learning Time Series Counterfactuals via Latent Space Representations.- Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems.- Local Interpretable Classifier Explanations with Self-generated Semantic Features.- Privacy risk assessment of individual psychometric profiles.- The Case for Latent Variable vs Deep Learning Methods in Misinformation Detection: An Application to COVID-19.- Spatial, Temporal and Spatiotemporal Data.- Local Exceptionality Detection in Time Series Using Subgroup Discovery.- Neural Additive Vector Autoregression Models for Causal Discovery in Time Series.- Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data.

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Book SynopsisThis volume constitutes selected papers presented at the First International Conference on Frontiers in Software Engineering, ICFSE 2021, hekd in Innopolis, Russia, in June 2021. The 13 presented full papers were thoroughly reviewed and selected from 37 submissions. The papers present discussion on such topics as software engineering tools and environments; empirical software engineering; model-driven and domain-specific engineering, human factors and social aspects of software engineering, cooperative, distributed, and global software engineering, component-based software engineering, software metrics, and software engineering for green and sustainable technologies.Table of ContentsInstitutional Commitment and Leadership as Prerequisites for Successful Comprehensive Internationalization.- Software Engineering as an Alchemical Process: Establishing a philosophy of the discipline.- AI Empowered DevSecOps Security for Next Generation Development.- A Case Study on Combining Agile and User Centered Design.- An Analysis of the Sensitivity of Software Reliability Growth Models using Bootstrap and Monte Carlo Simulations.- A study: Design patterns detection approaches and Impact on software quality.- Skills development through agile capstone projects.- Impact of the Communication Issues: A Case Study of IT Start-Up.- Evolution of Information System Design Methodologies: the IFIP Conference Management Problem Revisited.- Development of a Method and a Software for Decision-Making, System Modeling and Planning of Business Processes.- “Extreme development” as a means for learning agile.- A Meta-Analytical Comparison of Energy Consumed by Two Different Programming Languages.- Toward Inclusion of Children as Software Engineering Stakeholders.

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Book SynopsisThis book contains a selection of the best papers of the 33rd Benelux Conference on Artificial Intelligence, BNAIC/ BENELEARN 2021, held in Esch-sur-Alzette, Luxembourg, in November 2021. The 14 papers presented in this volume were carefully reviewed and selected from 46 regular submissions. They address various aspects of artificial intelligence such as natural language processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis.

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Book SynopsisThis book includes the proceedings of the third workshop on recommender systems in fashion and retail (2021), and it aims to present a state-of-the-art view of the advancements within the field of recommendation systems with focused application to e-commerce, retail, and fashion by presenting readers with chapters covering contributions from academic as well as industrial researchers active within this emerging new field. Recommender systems are often used to solve different complex problems in this scenario, such as product recommendations, size and fit recommendations, and social media-influenced recommendations (outfits worn by influencers).Table of ContentsChapter 1. Using Relational Graph Convolutional Networks to Assign Fashion Communities to Users.- Chapter 2. What Users Want? WARHOL: A Generative Model for Recommendation.- Chapter 3. Knowing When You Don’t Know in Online Fashion: An Uncertainty Aware Size Recommendation Framework.- Chapter 4. SkillSF: In the Sizing Game, Your Size is Your Skill.- Chapter 5. A Critical Analysis of Offline Evaluation Decisions Against Online Results: A Real-Time Recommendations Case Study.- Chapter 6. Attentive Hierarchical Label Sharing for Enhanced Garment and Attribute Classification of Fashion Imagery.- Chapter 7. Style-based Interactive Eyewear Recommendations.

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Book SynopsisThis book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Higher Education Learning Methodologies and Technologies Online, HELMeTO 2021, held in Pisa, Italy, in September 2021. Due to the COVID-19 pandemic the conference was held online. The 26 revised full papers and 3 short papers presented were carefully reviewed and selected from a total of 65 submissions. The papers present recent research on challenges of implementing emerging technology solution for online, online learning pedagogical frameworks, facing COVID19 emergency in higher education teaching and learning, online learning technologies in practice, online learning strategies and resources, etc. Table of ContentsMethodologies for distance learning in higher education.- Technologies for Distance Learning in Higher Education.- Facing COVID19 Emergency in Higher Education Teaching.- Digital skills in e-learning and continuous online training.- Student’s perception of online learning, teaching, and assessment in higher education.- Faculty Development, Distance Education and online learning systems in higher education.- E-learning and disciplinary teaching: issues and innovations in contemporary higher education.- From an emergency DaD to new forms of blended learning via effectie methodologies to design, deliver and evaluate learning.

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Book SynopsisThis book constitutes revised selected papers from the 20th Workshop on e-Business, WeB 2021, which took place virtually on December 11, 2021.The purpose of WeB is to provide a forum for researchers and practitioners to discuss findings, novel ideas, and lessons learned to address major challenges and map out the future directions for e-Business. The WeB 2021 theme was “From Grand Challenges to Great Solutions: Digital Transformation in the Age of COVID-19.” The 8 papers included in this volume were carefully reviewed and selected from a total of 24 submissions. The contributions are organized in topical sections as follows: digital innovation and transformation, and e-commerce and social media.Table of ContentsDigital Innovation and Transformation.- Drivers of technological innovation in SMEs during Covid-19 times: an analysis in the Caribbean region using ICONOS Program Database.- Benefits of Business Intelligence Systems and Multiple National Cultures During Covid-19.- Exploring freelancer attributes with peer endorsements.- Effects of COVID-19 on Critics’ Rating Behavior.- E-commerce and Social Media.- A Study Investigating Factors Affecting User Ratings in Mobile Games.- An Insight into Social Media Continuance Use: through Systematic Literature Review.- An Empirical Study of Brand Concept Recall as a Predictor of Brand Loyalty for Dyson.- Pixel Importance: The Impact of Saturation and Brightness on the Spread of Information on Social Media.

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Book SynopsisThis book constitutes the refereed proceedings of the 10th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2022, held in Aveiro, Portugal, in May 2022. The 54 papers accepted for these proceedings were carefully reviewed and selected from 72 submissions. They deal with document analysis; medical image processing; biometrics; pattern recognition and machine learning; computer vision; and other applications. Table of ContentsDOCUMENT ANALYSIS.- Test Sample Selection for Handwriting Recognition through Language Modeling.- Classification of Untranscribed Handwritten Notarial Documents by Textual Contents.- Incremental Vocabularies in Machine Translation through Aligned Embedding Projections.- An Interactive Machine Translation Framework for Modernizing the Language of Historical Documents.- From Captions to Explanations: A Multimodal Transformer-based Architecture for Natural Language Explanation Generation.- MEDICAL IMAGE PROCESSING.- Diagnosis of Skin Cancer Using Hierarchical Neural Networks and Metadata.- Lesion-Based Chest Radiography Image Retrieval for Explainability in Pathology Detection.- Deep Learning for Diagnosis of Alzheimer’s Disease with FDG-PET Neuroimaging.- Deep Aesthetic Assessment and Retrieval of Breast Cancer Treatment Outcomes.- Increased Robustness in Chest X-ray Classification through Clinical Report-driven regularization.- MEDICAL APPLICATIONS.- Deep Detection Models for Measuring Epidermal Bladder Cells.- On the performance of deep learning models for respiratory sound classification trained on unbalanced data.- Automated Adequacy Assessment of Cervical Cytology Samples using Deep Learning.- Exploring Alterations in Electrocardiogram during the Postoperative Pain.- Differential Gene Expression Analysis of the Most Relevant Genes for Lung Cancer Prediction and Sub-type Classification.- Detection of epilepsy in EEGs using Deep Sequence models - A Comparative Study.- BIOMETRICS.- Facial Emotion Recognition for Sentiment Analysis of Social Media Data.- Heartbeat selection based on outlier removal.- Characterization of emotions through facial Electromyogram signals.- Feature selection for emotional well-being monitorization.- Temporal Convolutional Networks for Robust Face Liveness Detection.- PATTERN RECOGNITION & MACHINE LEARNING.- MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional Neural Networks.- Transparent management of adjacencies in the cubic grid.- Abbreviating Labelling Cost for Sentinel-2 Image Scene Classification through Active Learning.- Feature-based classification of archaeal sequences using compression-based methods.- A first approach to Image Transformation Sequence Retrieval.- Discriminative Learning of Two-Dimensional Probabilistic Context-Free Grammars for Mathematical Expression Recognition and Retrieval.- COMPUTER VISION.- Golf Swing Sequencing using Computer Vision.- Domain Adaptation in Robotics: A Study Case on Kitchen Utensil Recognition.- An Innovative Vision System for Floor-Cleaning Robots based on YOLOv5.- LIDAR Signature based Node Detection and Classification in graph topological maps for indoor navigation.- Event Vision in Egocentric Human Action Recognition.- An edge-based computer vision approach for determination of sulfonamides in water.- IMAGE PROCESSING.- Visual Semantic Context Encoding for Aerial Data Introspection and Domain Prediction.- An End-to-End Approach for Seam Carving Detection using Deep Neural Networks.- Proposal of a comparative framework for face super-resolution algorithms in forensics.- On the use of Transformers for end-to-end Optical Music Recognition.- Retrieval of Music-Notation Primitives via Image-to-Sequence.- Digital image conspicuous features classification using TLCNN model with SVM classifier.- Contribution of low, mid and high-level image features in predicting human similarity judgements.- On the Topological Disparity Characterization of Square-pixel Binary Image Data by a Labeled Bipartite Graph.- Learning Sparse Masks for Diffusion-based Image Inpainting.- Extracting Descriptive Words from Untranscribed Handwritten Images.- OTHER APPLICATIONS.- GMM-aided DNN Bearing Fault Diagnosis using Sparse Autoencoder Feature Extraction.- Identification of External Defects on FruitsUsing Deep Learning.- Improving Action Quality Assessment using Weighted Aggregation.- Improving Licence Plate Detection using Generative Adversarial Networks.- Film shot type classification based on camera movement styles.- The CleanSea Set: A Benchmark Corpus for Underwater Debris Detection and Recognition.- A case of study on traffic cone detection for autonomous racing on a Jetson platform.- Energy savings in residential buildings based on adaptive thermal comfort models.- Opt-SSL: An Enhanced Self-Supervised Framework for Food Recognition.- Using bus tracking data to detect potential hazard driving zones.- Dynamic PCA based statistical monitoring of air pollutant concentrations in wildfire scenarios.

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Book SynopsisThis two-volume set LNCS 1319 and 13320 constitutes the thoroughly refereed proceedings of the 13th International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2022, which was held virtually as part of the 24rd HCI International Conference, HCII 2022, in June/July 2022.The total of 1271 papers and 275 poster papers included in the 39 HCII 2022 proceedings volumes was carefully reviewed and selected from 5487 submissions. DHM 2022 includes a total of 56 papers. The first volume focuses on topics related to ergonomic design, anthropometry, and human modeling, as well as collaboration, communication, and human behavior. The second volume focuses on topics related to task analysis, quality and safety in healthcare, as well as occupational health and operations management, and Digital Human Modeling in interactive product and service design.Table of ContentsErgonomic Design, Anthropometry, and Human Modeling.- Testing of Different Strings for their Usability in Actuation of Exosuits.- Utilizing Digital Human Modeling to Optimize the Ergonomic Environment of Heavy.- An Early Design Method to Quantify Vision Obstruction: Formula One (F1) Halo Case Study.- Redesigning an Excavator Operator’s Seat and Controls using Digital Human Modelling in RAMSIS.- Research on the Index System for Evaluating the Ergonomics Design of Helicopter Cockpits.- A Design Method of Sports Protective Gear Based on Periodic Discrete Parameterization.- Feasibility Study for the Physical Load Evaluation of Construction Machine Ingress and Maintenance.- Computer-Aid Ergonomic Analysis of Excavator Driver’s Body Posture Model.- Grasp Intent Modelling through Multi Sensorial Data.- Research on Adjustable Classroom Desks and Chairs Based on the Human Dimensions of Chinese Minors.- A Bed Design Model Research for the Self-care Elderly.- Grasp Synthesis for the Hands of Elderly People with Reduced Muscular Force, Slippery Skin, and Limitation in Range of Motion.- Design and Application of Skirt Fit Software for Human Body Ontology Knowledge.- Improvement of Chair in Ladder Classroom Based on Human Data and Behavior Investigation of College Students.- Development and Verification of Measurement Tools for Human Dynamic Development.- Collaboration, Communication, and Human Behavior.- AI-driven Human Motion Classification and Analysis using Laban Movement System.- A Bibliometric Analysis of Robot Collaborative Service During 2011-2021.- Subjective Scores and Gaze Distribution in Personality Evaluations: Effect of Subjects’ Clothing on Observers’ Impressions of Them.- A Dynamic Semantics for Multimodal Communication.- The Interaction Space: Considering Speaker-hearer Location in Co-speech Gesture Analysis and Annotation.- Safety Issues in Human-Machine Collaboration and Possible Countermeasures.- ViCon - Towards Understanding Visual Support Systems in Collaborative Video Conferencing.- Revolutionizing Ergonomics in Manufacturing Processes Using Collaborative Robots: A Systematic Literature Review.- Multimodal Analysis of Interruptions.- Correlation Study of Clothing Pressure and Reducing Exercise Fatigue During Exergames.- Study on the Sailors’ Athletic Ability Change Rule of Long-Time Simulated Voyage.

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Book SynopsisThis book constitutes the proceedings of the 8th International Conference on Decision Support Systems Technologies, ICDSST 2022, held during May 23-25, 2022.The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST) is planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities. The main aim of this year’s conference is to investigate the role DSS and related technologies can play in mitigating the impact of pandemics and post-crisis recovery. The 15 papers presented in this volume were carefully reviewed and selected from 46 submissions. They were organized in topical sections as follows: decision support addressing modern industry; decision support addressing business and societal needs, and multiple criteria approaches. Table of ContentsDecision Support addressing modern Industry.- Blockchain Technology Potential to Transform Global Value Chains.- Predicting the Rating of an App Beyond its Functionalities: Introducing the App Publication Strategy.- Improving Machine Self-Diagnosis with an Instance-Based Selector for Real-Time Anomaly Detection Algorithms.- Blockchain and Machine Learning in Real Estate.- Modelling the Development and Deployment of Decentralized Applications in Ethereum Blockchain: A BPMN-based approach.- Decision Support addressing Business and Societal needs.- Strengthening EU Resilience: Labor Market Integration as a criterion for Refugee Relocation.- Towards an Inclusive Europe: Ranking European Countries Based on Social Sustainability Indicators.- Decision Support Ecosystems: Definition and Platform Architecture.- A systematic research methodology for business model decision making in commercialising innovative healthcare diagnostic technologies.- A DSS based on a control tower for supply chain risks management.- Multiple Criteria Approaches.- Using the FITradeoff Method for solving a truck acquisition problem at a midsize carrier.- Maturity assessment in the context of industry 4.0 - an application using FITradeoff method in a textile industry.- Sustainable Mobility Engagement and Co-planning; a Multicriteria Analysis based Transferability Guide.- A DSS for the multi-criteria vehicle routing problem with pickup and delivery and 3d constraints.- A multicriteria tool to support decision-making in the early stages of energy efficiency investments.

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Book SynopsisThis open access book contributes to the discourse of Responsible Artificial Intelligence (AI) from an African perspective. It is a unique collection that brings together prominent AI scholars to discuss AI ethics from theoretical and practical African perspectives and makes a case for African values, interests, expectations and principles to underpin the design, development and deployment (DDD) of AI in Africa. The book is a first in that it pays attention to the socio-cultural contexts of Responsible AI that is sensitive to African cultures and societies. It makes an important contribution to the global AI ethics discourse that often neglects AI narratives from Africa despite growing evidence of DDD in many domains. Nine original contributions provide useful insights to advance the understanding and implementation of Responsible AI in Africa, including discussions on epistemic injustice of global AI ethics, opportunities and challenges, an examination of AI co-bots and chatbots in an African work space, gender and AI, a consideration of African philosophies such as Ubuntu in the application of AI, African AI policy, and a look towards a future of Responsible AI in Africa.This is an open access book.Table of ContentsChapter One: Introducing Responsible AI in AfricaChapter Two: Epistemic Just and Dynamic AI Ethics in AfricaChapter Three: Responsible AI in Africa - Challenges and OpportunitiesChapter Four: Working with robots as colleagues: Kenyan perspectives of ethical concerns on possible integration of co-bots in workplacesChapter Five: Artificial Intelligence in Africa: Emerging ChallengesChapter Six: The Use of Gendered Chatbots in Nigeria: Critical PerspectivesChapter Seven: AI Policy as a Response to AI Ethics? Addressing ethical issues in the development of AI policies in North AfricaChapter Eight: Towards Shaping the Future of Responsible AI in Africa

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Book SynopsisThis open access book contributes to the discourse of Responsible Artificial Intelligence (AI) from an African perspective. It is a unique collection that brings together prominent AI scholars to discuss AI ethics from theoretical and practical African perspectives and makes a case for African values, interests, expectations and principles to underpin the design, development and deployment (DDD) of AI in Africa. The book is a first in that it pays attention to the socio-cultural contexts of Responsible AI that is sensitive to African cultures and societies. It makes an important contribution to the global AI ethics discourse that often neglects AI narratives from Africa despite growing evidence of DDD in many domains. Nine original contributions provide useful insights to advance the understanding and implementation of Responsible AI in Africa, including discussions on epistemic injustice of global AI ethics, opportunities and challenges, an examination of AI co-bots and chatbots in an African work space, gender and AI, a consideration of African philosophies such as Ubuntu in the application of AI, African AI policy, and a look towards a future of Responsible AI in Africa.This is an open access book.Table of ContentsChapter One: Introducing Responsible AI in AfricaChapter Two: Epistemic Just and Dynamic AI Ethics in AfricaChapter Three: Responsible AI in Africa - Challenges and OpportunitiesChapter Four: Working with robots as colleagues: Kenyan perspectives of ethical concerns on possible integration of co-bots in workplacesChapter Five: Artificial Intelligence in Africa: Emerging ChallengesChapter Six: The Use of Gendered Chatbots in Nigeria: Critical PerspectivesChapter Seven: AI Policy as a Response to AI Ethics? Addressing ethical issues in the development of AI policies in North AfricaChapter Eight: Towards Shaping the Future of Responsible AI in Africa

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Book SynopsisThis book constitutes the refereed proceedings of the 12h International Symposium on Business Modeling and Software Design, BMSD 2022, which took place in Fribourg, Switzerland, in June 2022.The 12 full and 9 short papers included in this book were carefully reviewed and selected from a total of 56 submissions. BMSD is a leading international forum that brings together researchers and practitioners interested in business modeling and its relation to software design. Particular areas of interest are: Business Processes and Enterprise Engineering; Business Models and Requirements; Business Models and Services; Business Models and Software; Information Systems Architectures and Paradigms; Data Aspects in Business Modeling and Software Development; Blockchain-Based Business Models and Information Systems; IoT and Implications for Enterprise Information Systems. Each year, a special theme is chosen, for making presentations and discussions more focused. The BMSD 2022 theme is: Information Systems Engineering and Trust. Table of ContentsFull Papers.-- Rapid Prototyping of Business Rule-based Systems with Controlled Natural Language and Semantic Web Software.- - Agile Innovation Through Business Process Management: Realizing the Potential of Digital Transformation.-- Requirements for Dynamic Jumps at the Execution of Business Processes.- Results from the Verification of Models of Spectrum Auctions.- Context-Aware, Intelligent Musical Instruments for Improving Knowledge-Intensive Business Processes.- Detecting Data Incompatibilities in Process-Driven Decision Support Systems.- Semantic Relations of Sub-Models in an Enterprise Model.- VR-EA+TCK: Visualizing Enterprise Architecture, Content, and Knowledge in Virtual Reality.- A Case of Social Dynamics & Social Relativism.- Advantages of a Formal Specification of a Case: From Informal Description via Formal Specification to Realization.- An Architecture for Attesting to the Provenance of Ontologies Using Blockchain Technologies.- Trends for the DevOps Security. A Systematic Literature Review.- Short Papers.- Errors in the Process of Modeling Business Processes.- Use Cases for Augmented Reality Applications in Enterprise Modeling: A Morphological Analysis.- On the Context-Aware Servicing of User Needs: Extracting and Managing Context Information Supported by Rules and Predictions.- Towards Identification and Modelling of Privacy Requirements with Systems Thinking a Reference Architecture for User-Oriented Open Government Data Portals.- KnowGo : An Adaptive Learning-based Multi-Model Framework for Dynamic Automotive Risk Assessment.- OSRM-CCTV: CCTV-aware Routing and Navigation System for Privacy and Safety.- CCTV-Exposure: System for Measuring User’s Privacy Exposure to CCTV Cameras.- Computer Model for Assessment and Visualization of Specific Absorption Rate of Electromagnetic Field, Generated by Smartphone.

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Book SynopsisThis book constitutes the refereed proceedings of the 19th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2022, held in Sant Cugat, Spain, during August - September 2022.The 16 papers presented in this volume were carefully reviewed and selected from 41 submissions. The papers discuss different facets of decision processes in a broad sense and present research in data science, machine learning, data privacy, aggregation functions, human decision-making, graphs and social networks, and recommendation and search. They were organized in topical sections as follows: Decision making and uncertainty; Data privacy; Machine Learning and data science.Table of Contents​Decision making and uncertainty.- Optimality Analysis for Stochastic LP Problems.- A Multi-Perceptual-Based Approach for Group Decision Aiding.- Probabilistic Judgement Aggregation by Opinion Update.- Semiring-valued fuzzy rough sets and colour segmentation.- Data privacy.- Bistochastic privacy.- Improvement of Estimate Distribution with Local Differential Privacy.- Geolocated Data Generation and Protection Using Generative Adversarial Net-works.- Machine Learning and data science.- A Strategic Approach based on AND-OR Recommendation Trees for Updating Obsolete Information.- Identification of Subjects Wearing a Surgical Mask from their Speech by means of x-vectors and Fisher Vectors.- Measuring Fairness in Machine Learning models via Counterfactual Examples.- Re-Calibrating Machine Learning Models using Confidence Interval Bounds.- An Analysis of Byzantine-Tolerant Aggregation Mechanisms on Model Poisoning in Federated Learning.- Effective Early Stopping of Point Cloud Neural Networks.- Representation and Interpretability of IE Integral Neural Networks.- Deep Attributed Graph Embeddings.- Estimation of Prediction Error with Regression Trees.

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Book SynopsisThis book constitutes the proceedings of the 30th International Conference on Case-Based Reasoning, ICCBR 2022, which took place in Nancy, France, during September 12-15, 2022.The theme of ICCBR 2022 was Global Challenges for CBR aiming to consider how CBR can and might contribute to challenges in sustainability, climate change, and global health. The 26 papers presented in this volume were carefully reviewed and selected from 68 submissions. They deal with AI and related research focusing on comparison and integration of CBR with other AI methods such as deep learning architectures, reinforcement learning, lifelong learning, and eXplainable AI (XAI).Table of ContentsExplainability in CBR Using Case-based Reasoning for Capturing Expert Knowledge on Explanation Methods.- A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations.- How close is too close? The Role of Feature Attributions in Discovering Counterfactual Explanations.- Algorithmic Bias and Fairness in Case-Based Reasoning.- ”Better” Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI).- Representation and Similarity Extracting Case Indices from Convolutional Neural Networks: A Comparative Study.- Exploring the Effect of Recipe Representation on Critique-based Conversational Recommendation.- Explaining CBR Systems Through Retrieval and Similarity Measure Visualizations: A Case Study.- Adapting Semantic Similarity Methods for Case-Based Reasoning in the Cloud.- Adaptation and Analogical Reasoning Case Adaptation with Neural Networks: Capabilities and Limitations.- A Deep Learning Approach to Solving Morphological Analogies.- Theoretical and Experimental Study of a Complexity Measure for Analogical Transfer.- Graphs and Optimisation Case-Based Learning and Reasoning Using Layered Boundary Multigraphs.- swarm optimization in small case bases for software effort estimation.- MicroCBR: Case-based Reasoning on Spatio-temporal Fault Knowledge Graph for Microservices Troubleshooting.- GPU-Based Graph Matching for Accelerating Similarity Assessment in Process-Oriented Case-Based Reasoning.- Never judge a case by its (unreliable) neighbors: Estimating Case Reliability for CBR.- CBR and Neural Networks Improving Automated Hyperparameter Optimization with Case-Based Reasoning.- A factorial study of neural network learning from differences for regression.- ase-Based Inverse Reinforcement Learning Using Temporal Coherence.- Analogy-based post-treatment of CNN image segmentations.- Case-Based Applications An Extended Case-Based Reasoning Approach to Race-Time Prediction in Recreational Marathon Runners.- Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k-NN for Data Augmentation, with Prefactual Explanations for XAI.- A Case-Based Approach for Content Planning in Data-to-Text Generation.- The use of computer-assisted Case-Based Reasoning to support clinical decision-making – a scoping review.

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Book SynopsisThis book constitutes the refereed proceedings of the 15th International Conference on Brain Informatics, BI 2022, held as hybrid event in Padua, Italy (in person) and Queensland, Australia (online) in July 2022. The 29 papers were selected from 65 submissions and the main theme of BI 2022 is Brain Science meets Artificial Intelligence with respect to the five tracks: Cognitive and computational foundations of brain science; human information processing systems; brain big data analytics, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain inspired computing.Table of ContentsCognitive and Computational Foundations of Brain Science.- Estimating the Temporal Evolution of Synaptic Weights from Dynamic Functional Connectivity.- From concrete to abstract rules: A computational sketch.- Detection of Healthy and Unhealthy Brain States from Local Field Potentials using Machine Learning.- COSLETS: Recognition of Emotion Based on EEG signals.- Influences of Social Learning in Individual Perception and Decision Making in People with Autism: A Computational Approach.- Investigations of Human Information Processing Systems.- Analysis of Semantic Processes as an Indication for Focal Point Selection by Decomposing Alpha Frequency Band.- Toward the study of the neural-underpinnings of dyslexia during Final-phoneme Elision: A machine learning approach.- Root-Cause Analysis of Activation Cascade Differences in Brain Networks.- Unstructured Categorization with Probabilistic Feedback: Learning Accuracy versus Response Time.- Brain Big Data Analytics, Curation and Management.- Optimizing measures of information encoding in astrocytic calcium signals.- Introducing the Rank-Biased Overlap as Similarity measure for Feature Importance in Explainable Machine Learning: a case study on Parkinson’s disease.- Prediction of neuropsychological scores from functional connectivity matrices using deep autoencoders.- Feature Fusion-Based Capsule Network for Cross-Subject Mental Workload Classification.- Brain Source Reconstruction Solution Quality Assessment with Spatial Graph Frequency Features.- Enhancing the MR Neuroimaging by Using the Deep Super-Resolution Reconstruction.- Towards Machine Learning Driven Self-guided Virtual Reality Exposure Therapy based on Arousal State Detection from Multimodal Data.- Convex Hull in Brain Tumor Segmentation.- Informatics Paradigms for Brain and Mental Health Research.- Computer Added Diagnosis Framework for ADHD Detection using Quantitative EEG.- A Machine Learning Approach for Early Detection of Postpartum Depression in Bangladesh.- Epilepsy Detection from EEG Data using a Hybrid CNN-LSTM Model.- Classifying Brain Tumor from MRI Images Using Parallel CNN Model.- Triplet-loss based Siamese Convolutional Neural Network for 4-Way Classification of Alzheimer’s Disease.- Understanding syntax structure of language after a head injury.- A Belief Rule Based Expert System To Diagnose Alzheimer’s disease Using Whole Blood Gene Expression Data.- Feature-selected Graph Spatial Attention Network for Addictive Brain-Networks Identification.- Brain-Machine Intelligence and Brain-Inspired Computing.- Biologically Inspired Neural Path Finding.- A Second-Order Adaptive Social-Behavioural Model for Individual and Duo Motor Learning.- EEG signal classification using Shallow FBCSP ConvNet with a new cropping strategy.- Becoming Attuned To Each Other Over Time: A Computational Neural Agent Model for the Role of Time Lags in Subjective Synchrony Detection and Related Behavioural Adaptivity.

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Book SynopsisThis book constitutes the refereed proceedings of the Second Doctoral Symposium on Information and Communication Technologies, DSICT 2022, held in Manta, Ecuador, in October 2022. The 15 full papers were thoroughly reviewed and selected from the 72 submissions. The papers present research in areas of intelligent systems, artificial intelligence, ICTs and their applications to the real world.Table of ContentsEvaluating University Students’ Information Literacy: An Approach from Task-Based Test Execution.- Teaching digital competence in higher education. A comprehensive scientific mapping analysis with Rstudio.- Decision making by applying Z-numbers.- Comparative analysis of the performance of machine learning techniques applied to real and synthetic fraud-oriented datasets.- Academic Management in Higher Education 4.0 facing the challenges of Industry 4.0.- Linear regression analysis of heart rate while learning the soccer technique of driving. A case study.- Optimization Models Used in Water Allocation Problems in River Basin with Reservoirs: A Systematic Review.- Factors that limit the achievement of learning in Telemedicine of health professionals in Peru.- Multimodal deep learning for crop yield prediction.- Augmented Reality for Real-Time Control of a Robotic Arm with IoT Connection.- Development of an IoT-Based Precision Agriculture System for Strawberry Plantations in Guamote Ecuador.- Cancer detection based on electrical properties of tissues.- Artificial Intelligence applied to Video Game for detection of Mild Cognitive Impairment.- YouTube and Instagram applied to e-Learning.- Identifying the Political Tendency of Social Bots in Twitter using Sentiment Analysis: A Use Case of the 2021 Ecuadorian General Elections.

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Book SynopsisThis book constitutes the refereed proceedings of the ​First Workshop on Artificial Intelligence over Infrared Images for Medical Applications, AIIIMA 2022, and the First Workshop on Medical Image Assisted Biomarker Discovery, MIABID 2022, both held in conjunction with MICCAI 2022, Singapore, during September 18 and 22, 2022.For MIABID 2022, 7 papers from 10 submissions were accepted for publication. This workshop created a forum to discuss this specific sub-topic at MICCAI and promote this novel area of research among the research community that has the potential to hugely impact our society.For AIIIMA 2022, 10 papers from 15 submissions were accepted for publication. The first workshop on AIIIMA aimed to create a forum to discuss this specific sub-topic of AI over Infrared Images for Medical Applications at MICCAI and promote this novel area of research that has the potential to hugely impact our society, among the research community.

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Book SynopsisThis book presents select contributions of the International Scientific-Practical Conference 2021 (ISCP 2021) organized by East European University (Georgia) and Fresenius University of Applied Sciences (Germany). It discusses the challenges of digital transformation during and after the pandemic and introduces advanced research and solutions from both academic and professional’s aspects. The topics covered include digitalization in social and corporate responsibility, e-commerce and digital entrepreneurship, and digitalization in education.The book is an interesting read for researchers and professionals interested in digital management.

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Book SynopsisThis volume constitutes the proceedings of the 28th International Conference on Collaboration Technologies and Social Computing, CollabTech 2022, held in Santiago, Chile during November 8–11, 2022. The 18 full and 4 work-in-process papers presented in this volume were selected from 37 submissions and underwent careful double-blind peer review. The papers focus on innovative technical, human and organizational approaches to expand collaboration support including computer science, management science, design science, cognitive and social science.Table of ContentsAnalyzing human aspects in software development A systematic mapping study.- Effects of Debriefing in Computer-Supported Collaborative Learning Pyramid Scripts with open-ended task.- The Effect of Pair Programming on Code Maintainability.- Relevant Knowledge Use During Collaborative Explanation Activities: Investigation by Laboratory Experiment, and Computer Simulation Using ACT-R.- Does volunteer engagement pay off? An analysis of user participation in online Citizen Science projects.- Effects of Digital Avatar Robots on perceived social presence and copresence in business meetings between the managers and their coworkers.- Presentation Method for Conveying Nonverbal Information in Online Conference Presentations with a Virtual Stage.- Kano Model-Based Macro and Micro Shift in Feature Perception of Short-Term Online Courses.- Glow-mind: an input/output web system for sharing feelings by pressing a button.- Support by Visually Impaired: A Proposal for a System to Present Walkability on Maps Using White Cane Data.- How Teacher Education Students Collaborate when Solving an Asymmetric Digital Task.- Using process mining techniques to discover the collective behaviour of educators in a learning community platform.- Collaborative Community Knowledge Building with Personalized Question Recommendations.- Evaluating an adaptive intervention in collaboration scripts deconstructing body image narratives in a social media educational platform.- Students’ basic psychological needs satisfaction at the interface level of a computer-supported collaborative learning tool.- Facilitator Agent to Support Low-resource Language Speakers In MT Mediated Communication.- Towards Implementing Collaborative Learning in Remote Teaching Scenarios.- Scaffolding of Intuitionist Ethical Reasoning with Groupware: Do students’ stances change in different countries?.- Development of Toys for Determining Behavioral Imitation during Parent-Child Interactions.- Estimating peer evaluation potential by utilizing learner model during group work.- Scenario for analysing student interactions and orchestration load in collaborative and hybrid learning environments.- Implicit HCI for Geocollaborative Hyperstories Creation.

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Book SynopsisThis book constitutes the refereed proceedings of the 23rd International Conference on Product-Focused Software Process Improvement, PROFES 2022, which took place in Jyväskylä, Finland in November 2022.The 24 full technical papers, 9 short papers, and 6 poster papers presented in this volume were carefully reviewed and selected from 75 submissions. The book also contains and 8 doctoral symposium papers and 7 tutorial and workshop papers.The contributions were organized in topical sections as follows: Keynote; Cloud and AI; Empirical Studies; Process Management; Refactoring and Technical Dept; Software Business and Digital Innovation; Testing and Bug Prediction; Posters; Tutorials; Workshop on Engineering Processes and Practices for Quantum Software (PPQS’22); 1st Workshop on Computational Intelligence and Software Engineering (CISE 2022); Doctoral Symposium.Table of Contents​ Keynote.- The End-users of Software Systems deserve better.- Cloud and AI.- Managing the Root Causes of "Internal API Hell": An Experience Report.- Requirements for Anomaly Detection Techniques for Microservices.- Requirements for Anomaly Detection Techniques for Microservices.- Requirements for Anomaly Detection Techniques for Microservices.- Empirical Studies.- Defining Requirements Strategies in Agile: A Design Science Research.- Analysing the Relationship between Dependency Definition and Updating Practice when Using Third-Party Libraries.- On the Limitations of Combining Sentiment Analysis Tools in a Cross-Platform Setting.- Marine Data Sharing: Challenges, Technology Drivers and Quality Attributes.- Marine Data Sharing: Challenges, Technology Drivers and Quality Attributes.- Data-Driven Improvement of Static Application Security Testing Service: An Experience Report in Visma.- Near Failure Analysis using Dynamic Behavioural Data.- Process Management.- A Process Model of Product Strategy Development: A Case of B2B SaaS Product.- A Process Model of Product Strategy Development: A Case of B2B SaaS Product.- Benefit Considerations in Project Decisions.- Towards Situational Process Management for Professional Education Programmes.- Change Management in Cloud-Based Offshore Software Development: A Client-Vendor Perspective.- Half-Empty Offices in Flexible Work Arrangements: Why are Employees Not Returning?.- Refactoring and Technical Dept.- Technical Debt in Service-Oriented Software Systems.- An Investigation of Entropy and Refactoring in Software Evolution.- "To Clean Code or Not To Clean Code" A Survey among Practitioners.- Software Business and Digital Innovation.- Counter the Uncertainties in a Dynamic World: Approach for Creating Outcome-Driven Product Roadmaps.- Designing Platforms for Crowd-based Software Prototype Validation: A Design Science Study.- Rapid delivery of software: The effect of alignment on time to market.- Exploring the “Why,” “How,” and “What” of Continuous Digital Service Innovation.- Why Traditional Product Roadmaps Fail in Dynamic Markets: Global Insights.- Why Traditional Product Roadmaps Fail in Dynamic Markets: Global Insights.- Why Traditional Product Roadmaps Fail in Dynamic Markets: Global Insights.- Testing and Bug Prediction.- Test Case Selection with Incremental ML.- Inferring Metamorphic Relations from JavaDocs: A Deep Dive Into the MeMo Approach.- An Evaluation of Cross-Project Defect Prediction Approaches on Cross-Personalized Defect Prediction.- A/B Testing in the Small: an Empirical Exploration of Controlled Experimentation on Internal Tools.- TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks.- Improving Software Regression Testing Using a Machine Learning-based Method For Test Type Selection.- Early Identification of Invalid Bug Reports in Industrial Settings - A Case Study.- Posters.- RESEM: Searching Regular Expression Patterns with Semantics and Input/Output Examples.- Linking User Stories and Behavior Driven Development Concepts: Ontology, Preliminary Validation and Further Perspectives.- Quality Metrics for Software Development Management and Decision Making: An Analysis of Attitudes and Decisions.- Are NLP Metrics Suitable for Evaluating Generated Code?.- Are NLP Metrics Suitable for Evaluating Generated Code?.- Can the requirements coverage be satisfied with code coverage? User story test coverage.- Tidy Up Your Source Code! Eliminating Wasteful Statements in Automatically Repaired Source Code.- Tutorials- Utilizing User Stories to Bring AI Ethics into Practice in Software Engineering.- Workshop on Engineering Processes and Practices for Quantum Software (PPQS’22).- Classical to Quantum Software Migration Journey Begins: A Conceptual Readiness Model.- 1st Workshop on Computational Intelligence and Software Engineering (CISE 2022).- Technical Debt Forecasting from Source Code using Temporal Convolutional Networks.- Adagio: a bot for AuDio processing AGainst vIOlence.- End Users’Perspective of Performance Issues in Google Play Store .- Predicting Bug-Fixing Time: DistilBERT versus Google BERT.- Proposing Isomorphic Microservices based Architecture for IoT.- Doctoral Symposium.- Ethical Tools, Methods and Principles in Software Engineering and Development: Case Ethical User Stories.- Architectural Degradation and Technical Debt Dashboards (PROFES Doctoral Symposium).- The Impact of Business Design in Improving the Offering of Professional Software Services.- Applications of MLOps in the Cognitive Cloud Continuum "PROFES Doctoral Symposium".- Implementing Artificial Intelligence Ethics in Trustworthy System Development- Ethical Requirements for Software Development.- Developing a Critical Success Factor model for DevOps.- Strategic ICT procurement in Finland: Tensions and Opportunities.- Leverage Software Containers Adoption By decreasing Cyber Risks and systemizing the refactoring of monolithic applications.

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