Description
Book SynopsisHow can large-scale, real-time, and real-world data on peopleâs behaviors, interactions, and environments improve psychological measurement, or lead to customized psychological interventions? Written expressly for social and behavioral scientists, this cutting-edge handbook describes the key concepts and tools of mobile sensing and explains how to plan and conduct a mobile sensing study. Renowned experts address the whats, whys, and how-tos of collecting big data using smartphones and other wearables, and explore which research questions can best be addressed with these tools. Modern statistical methods for analyzing mobile sensing data are described--for example, dynamic structural equation modeling, network modeling, and machine learning, including deep neural networks. The book includes best-practice research examples of applications in clinical psychology, aging, neuroscience, health, emotions, relationships, personality, the workplace, and other areas. Key methodological
Trade Review
"Everyone who is engaged in or considering work in mobile sensing surely will benefit from a careful review of this book. The volume provides thorough discussions of privacy, reproducibility, the conduct of research, and ethics. Chapters richly describe passive sensing modalities, analytic methods, and applications, with an emphasis on psychological science. Valuable features include considerations for defining summary variables, reviews of mobile sensing devices and apps, instructions for preprocessing data, and examples to illustrate points. Importantly, the strengths and limitations of mobile sensing research are highlighted."--Arthur A. Stone, PhD, Department of Psychology and Director, Dornsife Center for Self-Report Science, University of Southern California
"Mobile sensing is set to transform the field of psychology. This volume, with its readable and practical chapters on every important element of mobile sensing research, is an essential companion for anyone doing work in this area. Broad in scope and authoritative in content, this is the one book you need, whether you are a graduate student just starting your first mobile sensing study or an experienced researcher seeking to improve your designs, methods, and analyses."--Samuel D. Gosling, PhD, Department of Psychology, The University of Texas at Austin
"With contributions from leading scholars and practitioners from around the world, the book covers a wide range of topics, including how to collect mobile sensing data, how to analyze the data, and applications in specific fields, such as aging, close relationships, emotion detection, and cognitive assessment. This comprehensive, single-volume source is a 'must' for those seeking to explore the vast potential of mobile sensing."--Niall Bolger, PhD, Department of Psychology, Columbia University
"This wide-ranging volume from well-respected editors and contributors provides an impressive 'one-stop shop' for researchers interested in mobile sensing research. The book offers primers on the background and key concepts of mobile sensing, data acquisition and analysis, and applications in specific domains. I have no doubt that this book will serve as a tremendous fount of guidance and inspiration for the next generation of mobile sensing researchers."--Joshua Smyth, PhD, Ohio Eminent Scholar in Health Psychology, The Ohio State University-
Table of ContentsI. Mobile Sensing: Background and Key Concepts
1. How to Conduct Mobile Sensing Research, Gabriella M. Harari, Serena Soh, & Lara Kroencke
2. Designing for Privacy in Mobile Sensing Systems, Jason I. Hong
3. Transparency and Reproducibility in Mobile Sensing Research, Cornelia Wrzus & Ramona Schoedel
II. Mobile Sensors: Technological Know-How and Methodological How-To
4. Acquisition and Analysis of Location Data, Sven Lautenbach, Sarah Lohr, & Markus Reichert
5. Acquisition and Analysis of Physical Behavior Data, Marco Giurgiu & J. B. J. (Hans) Bussmann
6. Acquisition and Analysis of Ambulatory Autonomic Nervous System Data, Eco J. C. de Geus & Martin J. Gevonden
7. Analysis of Phone Logs and Phone Usage Patterns, Sandrine R. Müller, Aaron Cohen, Marcel Enge, & John F. Rauthmann
8. Mobile Application Usage in Psychological Research, Larissa Sust, Sanaz Talaifar, & Clemens Stachl
9. Examining Well-Being in Situated Contexts with Computational Modeling of Social Media Data, Koustuv Saha & Munmun De Choudhury
10. Behavioral Audio Signal Processing in Mobile Sensing Research, Rajat Hebbar, Arindam Jati, Tiantian Feng, Ramon Reyes, Alexander F. Danvers, Matthias R. Mehl, & Shrikanth S. Narayanan
11. Acquisition and Analysis of Camera Sensor Data (Life Logging), Edison Thomaz & Mariella Dimiccoli
12. Beyond the Smartphone: The Future of Wearables as Mobile Sensors, Kristof Van Laerhoven
13. Viva Experience Sampling: Combining Passive Mobile Sensing with Active Momentary Assessments, Ulrich Ebner-Priemer & Philip Santangelo
III. Analysis of Mobile Sensing Data
14. A Psychometric Perspective on Mobile Sensing Data, Michael Eid & Jana Holtmann
15. Dynamic Structural Equation Modeling for the Analysis of Mobile Sensing Data, Jana Holtmann, Michael Eid, & Martina Kanning
16. Dynamic Network Analysis, Emorie D. Beck & Stuti Thapa
17. Machine Learning for Mobile Sensing Data, Andreas M. Brandmaier
18. Deep Learning Methods for Mobile Sensing, Cara J. Arizmendi, Christopher J. Urban, Kathleen M. Gates
19. Big Data Dimensionality Reduction Methods, Andreas M. Brandmaier
IV. Mobile Sensing Applications in Psychological Science
20. Mobile Sensing in Personality Science, Felix Beierle, Sandra C. Matz, & Mathias Allemand
21. Mobile Sensing Applications in Moral Psychology, Farzan Karimi-Malekabadi, Mohammad Atari, & Morteza Dehghani
22. Mobile Sensing in Relationship Research, Andrea B. Horn & Adela C. Timmons
23. Wearable Technologies in the Workplace: Sensing to Create Responsive Industrial and Occupational Environments Optimized for Health, Jacob N. Hyde, Johnny R. Runyon, Altaf Engineer, Beth Kramer, Casey M. Lindberg, & Esther M. Sternberg
24. Emotion Detection with Mobile Sensing, Koen Niemeijer & Peter Kuppens
25. Cognition on the Go: Opportunities and Challenges for Mobile Cognitive Health Research, Martin Sliwinski, Nelson Roque, & Karra Harrington
26. Mobile Sensing in Developmental Science: A Practical Guide for Researchers, Kaya de Barbaro & Caitlin M. Fausey
27. Mobile Sensing in Aging Research, Birthe Macdonald, Melanie Becker, Mike Martin, & Christina Röcke
28. mHealth Interventions for Health Behaviors, Christine Vinci, Brian Gonzalez, Darla Kendzor, Michael Businelle, & Santosh Kumar
29. Sensing in Clinical Psychology, Geneva K. Jonathan & Dror Ben-Zeev
30. Smart Interventions, Inbal Nahum-Shani
31. Behavior Change, Jean Costa, Pablo Paredes, & Tanzeem Choudhury
32. Mobile Sensing in Neuroscience: Predicting Brain Functional Connectivity Using Smartphone Data, Mikio Obuchi, Jeremy Huckins, Weichen Wang, Arvind Pillai, & Andrew Campbell
V. Conclusions and Future Directions
33. Mobile Sensing in Psychology: Where We Are and Where We Might Go From Here, Matthias R. Mehl, Michael Eid, Cornelia Wrzus, Gabriella M. Harari, & Ulrich Ebner-Priemer
Author Index
Subject Index
