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ORCIDHCI 2024: Washington, DC, USA - Volume 51
- Helmut Degen, Stavroula Ntoa:
Artificial Intelligence in HCI - 5th International Conference, AI-HCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29 - July 4, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14734, Springer 2024, ISBN 978-3-031-60605-2
Human-Centered Artificial Intelligence
- Giulio Behringer, Svenja Rößler, Mahsa Fischer
:
Qualitative User-Centered Requirements Analysis for a Recommender System for a Project Portfolio Platform in Higher Education Institutions. 3-19 - Antonella Cavallaro, Marco Romano, Rossana Laccone:
Examining User Perceptions to Vocal Interaction with AI Bots in Virtual Reality and Mobile Environments: A Focus on Foreign Language Learning and Communication Dynamics. 20-30 - Mahsa Fischer, Carsten Lanquillon:
Evaluation of Generative AI-Assisted Software Design and Engineering: A User-Centered Approach. 31-47 - Huiying Jin, Masato Uchida:
A Three-Year Analysis of Human Preferences in Delegating Tasks to AI. 48-66 - Graham Parsonage, Matthew Horton, Janet C. Read:
Evaluating the Effectiveness of the Peer Data Labelling System (PDLS). 67-83 - Francesca Pia Perillo, Marco Romano, Giuliana Vitiello:
Enhancing Historical Understanding in School Students: Designing a VR Application with AI-Animated Characters. 84-93 - Ruan Rocha Américo de Souza, Camille N. Santiago Caminha, Marcelo C. Ferreira:
A Multidisciplinary Heuristic Evaluation of AI-Enhanced Web Tools: Insights and Implications for Legal Contract Management Systems. 94-109 - Serena Versino, Tommaso Turchi, Alessio Malizia:
PyFlowML: A Visual Language Framework to Foster Participation in ML-Based Decision Making. 110-130 - Yicong Yuan, Mingyang Su, Xiu Li:
What Makes People Say Thanks to AI. 131-149
Explainability and Transparency
- Helmut Degen, Christof J. Budnik:
How to Explain It to System Testers? - A Qualitative User Study About Understandability, Validatability, Predictability, and Trustworthiness. 153-178 - Naome A. Etori, Maria L. Gini:
WisCompanion: Integrating the Socratic Method with ChatGPT-Based AI for Enhanced Explainability in Emotional Support for Older Adults. 179-198 - Rutuja Joshi, Julia Graefe, Michael Krause, Klaus Bengler:
Exploring the Impact of Explainability on Trust and Acceptance of Conversational Agents - A Wizard of Oz Study. 199-218 - Dian Lei, Yao He, Jianyou Zeng:
What Is the Focus of XAI in UI Design? Prioritizing UI Design Principles for Enhancing XAI User Experience. 219-237 - Jörg Papenkordt:
Navigating Transparency: The Influence of On-demand Explanations on Non-expert User Interaction with AI. 238-263 - Andrew Ponomarev, Anton Agafonov:
Ontology-Based Explanations of Neural Networks: A User Perspective. 264-276 - Elisa Rubegni, Omran Ayoub, Stefania Maria Rita Rizzo, Marco Barbero, Guenda Bernegger, Francesca D. Faraci, Francesca Mangili, Emiliano Soldini, Pierpaolo Trimboli, Alessandro Facchini:
Designing for Complementarity: A Conceptual Framework to Go Beyond the Current Paradigm of Using XAI in Healthcare. 277-296 - Jakob Würfel, Anne Papenfuß, Matthias Wies:
Operationalizing AI Explainability Using Interpretability Cues in the Cockpit: Insights from User-Centered Development of the Intelligent Pilot Advisory System (IPAS). 297-315 - Paula Ziethmann, Fabian Stieler, Raphael Pfrommer, Kerstin Schlögl-Flierl, Bernhard Bauer:
Towards a Framework for Interdisciplinary Studies in Explainable Artificial Intelligence. 316-333
AI Systems and Frameworks in HCI
- Pascal Graf, Morris Ohrnberger, Dominic Dötterer, Nicolaj C. Stache:
Semi-supervised Sorting via Deep Feature Extraction and Density Based Clustering with User Feedback. 337-355 - Jacob C. Hart, Jake AuBuchon, Shandler A. Mason, Sandeep Kaur Kuttal:
Navigating NLU Challenges in Pair Programming Agents: A Study on Data Size, Gender, Language, and Domain Effects. 356-375 - Prabhat Kumar, Adrienne Raglin, John T. Richardson:
Surveying Computational Theory of Mind and a Potential Multi-agent Approach. 376-390 - Lucie Kunitomo-Jacquin, Ken Fukuda:
Evidential Representation Proposal for Predicate Classification Output Logits in Scene Graph Generation. 391-402 - Adrienne Raglin, Allison Newcomb, Lisa Scott:
Uncertainty of Information Applied to Network Monitoring Metrics. 403-410 - Luca Sacchetto, Stefan Röhrl, Klaus Diepold:
Iterative Visual Interaction with Latent Diffusion Models. 411-421 - Tobias Schmieg, Carsten Lanquillon:
Time Series Representation Learning: A Survey on Deep Learning Techniques for Time Series Forecasting. 422-435 - Thitirat Siriborvornratanakul:
Reducing Human Annotation Effort Using Self-supervised Learning for Image Segmentation. 436-445 - Jingran Wang, Feng Liu, Rong Chang:
Human-Aligned GAI Driven by Conceptual Knowledge: System, Framework, and Co-creation. 446-465
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