Buch, Englisch, 262 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 423 g
8th International Workshop, CONVERSATIONS 2024, Thessaloniki, Greece, December 4-5, 2024, Revised Selected Papers
Buch, Englisch, 262 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 423 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-88044-5
Verlag: Springer Nature Switzerland
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 4–5, 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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Warehouse
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Information Retrieval
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
- Mathematik | Informatik EDV | Informatik Informatik Natürliche Sprachen & Maschinelle Übersetzung
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
Weitere Infos & Material
.- 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.