IUI-WS 2024
Workshops at the International Conference on Intelligent User Interfaces (IUI) 2024

Joint Proceedings of the ACM IUI 2024 Workshops
co-located with the 29th Annual ACM Conference on Intelligent User Interfaces (IUI 2024)

Greenville, South Carolina, USA, March 18, 2024.

Edited by

Axel Soto, Institute for Computer Science and Engineering, Universidad Nacional del Sur, Bahía Blanca, Argentina
Eva Zangerle, Department of Computer Science, University of Innsbruck, Austria

Table of Contents

Summary: This volume includes the proceedings of five workshops, which accepted a total of 33 papers.

Workshop 1: Adaptive XAI - Towards Intelligent Interfaces for Tailored AI Explanations (AXAI)

Organizers: Tommaso Turchi (University of Pisa, Italy), Alessio Malizia (University of Pisa, Italy), Simone Borsci (University of Twente, Netherlands), Alan Chamberlain (University of Nottingham, United Kingdom)

The Adaptive XAI Workshop explores the design of interfaces that dynamically adapt to offer tailored AI system explanations. It emphasises understanding and crafting explanations that resonate across diverse user needs, reflecting a commitment to human-centric, responsive AI. Participants will explore solutions that bridge the gap between AI functionality and end-user understanding.

Workshop summary

Workshop 2: 5th Workshop on Human-AI Co-Creation with Generative Models (HAI-GEN)

Organizers: Werner Geyer (IBM Research AI), Mary Lou Maher (University of North Carolina, Charlotte, USA), Justin D. Weisz (IBM Research AI), Daniel Buschek (University of Bayreuth, Germany), Lydia B. Chilton (Columbia University, New York, USA)

Generative AI introduces a new UI paradigm called intent-based outcome specification shifting control over from people to AI, enabling new forms of co-creativity and co-creation. This workshop will explore the implications of this shift, deepen our understanding of the human-AI co-creative process, and examine how we can design, build, use, and evaluate human-AI co-creative systems that are both effective and safe.

Workshop summary

Workshop 3: SOCIALIZE and HUMANIZE Combined Workshop

Organizers: Bruce Ferwerda (Jönköping University, Sweden), Giuseppe Sansonetti (Università di Roma 3, Italy), Marko Tkalcic (University of Primorska, Koper, Slovenia), Fabio Gasparetti (University of Roma 3, Italy), Panagiotis Germanakos (SAP SE, PulseX Research Institute gUG, Germany), Cristina Gena (Università of Torino, Italy)

The combined SOCIALIZE/HUMANIZE workshop addresses intelligent interactive techniques rooted in social and psychological theories. We welcome contributions, including social robots, that may foster the social and cultural inclusion of a broad range of users, with a focus on vulnerable groups (e.g., children, elderly, autistic, and disabled people) and disadvantaged, at-risk categories (e.g., refugees and migrants). Furthermore, we welcome research integrating psychological theory features (e.g., personality, cognitive styles) into models of systems like recommender systems. Additionally, we seek studies on enhancing (AI) explainability, fairness, transparency, and reducing bias in intelligent systems' data or output.

Workshop summary HUMANIZE
Workshop summary SOCIALIZE

Workshop 4: Workshop on Intelligent User Interface for Metaverse (IUI4Metaverse)

Organizers: Pradipta Biswas (Indian Institute of Science, India), Vinay Krishna Sharma (Siemens), Pilar Orero (Universitat Autonoma De Barcelona, Spain), Eryn Whitworth (Meta), Anasol Pena-Rios (British Telecom)

IUI 4 Metaverse workshop will investigate user interface and interaction issues with Metaverse and scoping the use of AI tools and technology for improving UI/UX for Metaverse. As part of the workshop, the very concept of Metaverse will be explored in details with members from academia, industry and standardization bodies.

Workshop summary

Workshop 5: Past Meets Future: Workshop on Human-AI Interaction for Digital History and Cultural Heritage (PMF)

Organizers: Kurt Luther (Virginia Tech, USA), Vikram Mohanty (Bosch Research and Technology Center, USA), Benjamin C. G. Lee (University of Washington, USA), Ioanna Lykourentzou (Utrecht University, Netherlands)

Digital History and Cultural Heritage scholars and practitioners face challenges in data quality, accessibility, and engagement. Human-AI Interaction (HAI) has great potential to address these challenges. This workshop brings together HCI and AI researchers, historians, and museum professionals to explore innovative HAI approaches for Digital History and Cultural Heritage.

Workshop summary

2024-03-24: submitted by Eva Zangerle, metadata incl. bibliographic data published under Creative Commons CC0
2024-04-07: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|