Description
Book Synopsis.- Understanding and Designing for Human-AI Interactions.
.- Analyzing Patterns of Conversational Breakdown in Human-Chatbot Customer Service Conversations.
.- Selecting Empathic Response Headers in Customer Support Conversations with LLM-based Emotion Recognition.
.- Exploring the Effects of Consistency-based Hallucination Detection for LLM-based QA Chatbots: A Simulation Study.
.- LadderChat – An LLM-based Conversational Agent for Laddering Interviews.
.- Can Machine Learning Models Recognise Emotions, Particularly Neutral, Better Than Humans?.
.- Human-Centred AI in Education and Social Support.
.- An AI-Powered Learning Companion for Adaptive and Personalized STEM Educatio.
.- Development and Evaluation of a University Chatbot Using Deep Learning: A RAG-Based Approach.
.- A Voice-Enabled Intelligent Virtual Agent for People with Memory Impairments: Thematic Analysis of Focus Group Results.
.- The BookBot Project: Conceptual Design of a Social Robot Facilitating Reading Motivation.
.- Questions people ask ChatGPT regarding their romantic relationships and what they think about the provided answers: An exploratory study.
.- Conversational AI for Citizens and Customers.
.- AI-Driven Dialogue: Leveraging Generative AI in Conversational Agent Voting Advice Applications (CAVAA).
.- First Aid for Europe – A Study on the Impact of Digital Voting Assistants on Young Adults During the Elections for the European Parliament in 2024.
.- An Analysis of Federal and Municipal Chatbots in Germany.
.- LLM-powered Conversational AI in Customer Service: Users’ Expectations and Anticipated Use.
.- Feeling Understood by AI: How Empathy Shapes Trust and Influences Patronage Intentions in Conversational AI.
