Chatbots and Human-Centered AI

This book constitutes the refereed proceedings of the 8th International Workshop on Chatbots and Human-Centered AI, CONVERSATIONS 2024, held in Thessaloniki, Greece, during December 45, 2024.

The 12 full papers and 3 short papers were carefully reviewed and selected from 35 submissions. They were organized in topical sections as follows: Understanding and Designing for Human-AI Interactions; Human-Centred AI in Education and Social Support; Conversational AI for Citizens and Customers.

Inhalt

.- 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.