Papers

All papers accepted for CONVERSATIONS 2024 are available below. Position papers and project presentations are available in their final version. Full papers and short papers are available in the workshop proceedings at Springer LNCS.

Three of the presented papers were nominated to the Best Paper Award.

AI FOR PERSONALIZED GUIDANCE AND SUPPORT

AI-Driven Dialogue: Leveraging Generative AI in Conversational Agent Voting Advice Applications (CAVAA) (full paper). Thilo Dieing (Winner of the Best Paper Award)

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 (full paper). Nina Van Zanten and Roel Boumans

The BookBot Project: Conceptual Design of a Social Robot Facilitating Reading Motivation (full paper). Emma Mainza Chilufya, Mattias Arvola, Susanne Severinsson, Anna Martín Bylund, Linnéa Stenliden, Arezou Mortazavi and Tom Ziemke (Nominee to the Best Paper Award)

Comparing Travel Recommendations: Humans vs. ChatGPT in Pre- and On-Site Information Search (position paper). Roberta De Cicco, Mauro Dini, Barbara Francioni, Ilaria Curina and Marco Cioppi

Personalized Travel Recommendations Using Wearable Data and AI: The INDIANA Platform (project presentation). Anastasios Manos, Elizabeth Filippidou, Ioannis Deliyannis, Nikolaos Pavlidis, Vasileios Argyros, and Ioanna Mazi

EMPATHY, EMOTION, AND USER EXPERIENCE IN AI INTERACTION

Feeling Understood by AI: How Empathy Shapes Trust and Influences Patronage Intentions in Conversational AI (full paper). Nele Pralat, Carolin Ischen and Hilde Voorveld (Nominee to the Best Paper Award)

Can Machine Learning Models Recognise Emotions, Particularly Neutral, Better Than Humans? (full paper). Jeffin Siby and Effie Lai-Chong Law

Questions people ask ChatGPT regarding their romantic relationships and what they think about the provided answers: An exploratory study (short paper). Lazaros Tsolakis and Alexios Brailas

Understanding Potentials and Risks of Synthetic Relationships: Leveraging the Power of Longitudinal Research with Customised AI Tools (position paper). Alfio Ventura and Nils Köbis

CONVERSATIONAL AI IN CUSTOMER SERVICE AND USER SUPPORT

Analyzing Patterns of Conversational Breakdown in Human-Chatbot Customer Service Conversations (full paper). Anouck Braggaar, Florian Kunneman and Emiel van Miltenburg

LLM-powered Conversational AI in Customer Service: Users’ Expectations and Anticipated Use (full paper). Anna Grøndahl Larsen, Marita Skjuve, Knut Kvale and Asbjørn Følstad

Selecting Empathic Response Headers in Customer Support Conversations with LLM-based Emotion Recognition (short paper). Wing Lok Yeung

An Analysis of Federal and Municipal Chatbots in Germany (full paper). Verena Traubinger, Sebastian Heil, Julián Grigera, Alejandra Garrido, Sonia Abhyankar and Martin Gaedke

CONVERSATIONAL AGENTS IN EDUCATION AND SOCIAL SUPPORT

An AI-Powered Learning Companion for Adaptive and Personalized STEM Education (short paper). Nikolaos Antonios Grammatikos, Evangelia Anagnostopoulou, Dimitris Apostolou and Gregoris Mentzas

A Voice-Enabled Intelligent Virtual Agent for People with Memory Impairments: Thematic Analysis of Focus Group Results (full paper). Roel Boumans, Serge Thill, Debby Gerritsen and Tibor Bosse

Using a Large Language Model to Support Informal Carers (project presentation). Hanna Allemann, Daniel Holmer, Mattias Arvola, Tom Ziemke and Anna Strömberg

Development and Evaluation of a University Chatbot Using Deep Learning: A RAG-Based Approach (full paper). Kabir Olawore, Michael McTear and Yaxin Bi

CONVERSATIONAL TOOLS AND DESIGN SUPPORT

Exploring Agent-Based Conversational Strategies for Enhancing Qualitative Survey Automation (position paper). Yunxing Liu and Jean-Bernard Martens

LadderChat – An LLM-based Conversational Agent for Laddering Interviews (full paper). Leon Hanschmann, Marvin Mokelke, and Alexander Mädche

Explorations on Using Facial Expression Data for Studying Emotional Reactions during Chatbot Interaction (position paper). Lili Aunimo, Ilona Pezenka and David Dobrowsky

Exploring the Effects of Consistency-based Hallucination Detection for LLM-based QA Chatbots: A Simulation Study (full paper). Simon Rapp, Alexander Mädche and Marcus Jainta

Design Principles and Interaction Strategies for Polyadic Chatbots (position paper) Mohammad Amin Kuhail, Saifeddin Alimamy and Michael Haile Belay