| Vol-3957 urn:nbn:de:0074-3957-X Copyright © 2025 for the individual papers by the papers' authors. Copyright © 2025 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# IUI-WS 2025
Workshops at the International Conference on Intelligent User Interfaces (IUI) 2025

### Joint Proceedings of the ACM IUI 2025 Workshops
co-located with the 30th Annual ACM Conference on Intelligent User Interfaces (IUI 2025)

### Cagliari, Italy, March 24th, 2025.

Edited by

### Dorota Glowacka 1
Carmen Santoro 2
Ziang Xiao 3

1 Department of Computer Science, University of Helsinki
2 HIIS Laboratory, ISTI-CNR
3 Department of Computer Science, Johns Hopkins University

## Table of Contents

Summary: This volume includes the proceedings of 7 workshops, which accepted a total of 55 papers.

### Workshop 1: Adaptive XAI: Advancing Intelligent Interfaces for Tailored AI Explanations (2nd Edition) (AXAI)

Organizers: Tommaso Turchi (University of Pisa, Italy), Alessio Malizia (University of Pisa, Italy), Fabio Paternò (CNR - ISTI, Italy), Simone Borsci (University of Twente, Netherlands), Alan Chamberlain (University of Nottingham, United Kingdom), Andrew Fish (University of Liverpool, United Kingdom)
As artificial intelligence becomes increasingly embedded in daily decision-making processes, the need for effective communication between humans and AI systems grows more crucial. The Adaptive XAI (AXAI) workshop, now in its second edition, focuses on developing intelligent interfaces that can adaptively explain AI's decision-making processes. Building on the success of our inaugural event at IUI 2024, this workshop continues to explore the intersection of Explainable AI and adaptive user interfaces, emphasizing the development of interfaces that dynamically adapt to create explanations that resonate with diverse users. In line with the human-centric principles of the Future Artificial Intelligence Research (FAIR) project, we examine how emerging technologies such as conversational agents and Large Language Models can enhance AI explainability while ensuring explanations remain malleable and responsive to users' evolving cognitive states and contextual needs.
More details here.

- A User-in-the-loop Digital Twin for Energy Consumption Prediction in Smart Homes (short paper) 1-8
  Davide Guizzardi, Barbara Rita Barricelli, Daniela Fogli
- "Loss in Value": What it revealed about WHO an explanation serves well and WHEN (short paper) 9-15
  Md Montaser Hamid, Jonathan Dodge, Andrew Anderson, Margaret Burnett
- User Studies in Human-Feature-Integration 16-29
  Yixin Li, Lucas Lefebvre, Sonali Parbhoo, Finale Doshi-Velez, Isaac Lage
- Talking Back - human input and explanations to interactive AI systems 30-43
  Alan Dix, Tommaso Turchi, Ben Wilson, Anna Monreale, Matt Roach
- Explainable Biomedical Claim Verification with Large Language Models 44-57
  Siting Liang, Daniel Sonntag
- Context-dependent Explainable Daily Automations 58-68
  Simone Gallo, Sara Maenza, Andrea Mattioli, Fabio Paternò
- XFERa: Xplainable Emotion Recognition for improving transparency and trust (short paper) 69-77
  Nicola Macchiarulo, Berardina De Carolis, Corrado Loglisci, Vito Nicola Losavio, Maria Grazia Miccoli, Giuseppe Palestra
- Explainable Artificial Intelligence Across Various Scales of Interaction and Experience, From Wearable to Ambient (short paper) 78-83
  Radu-Daniel Vatavu
- Interactive Visual Exploration of Latent Spaces for Explainable AI: Bridging Concepts and Features 84-94
  Carlo Metta, Eleonora Cappuccio, Salvatore Rinzivillo
- Mitigating Misleadingness in LLM-Generated Natural Language Explanations for Recommender Systems: Ensuring Broad Truthfulness Through Factuality and Faithfulness 95-111
  Ulysse Maes, Lien Michiels, Annelien Smets
- Human-Centered Design for Accessible and Sustainable XAI in Healthcare (short paper) 112-118
  Giovanni Arras, Tommaso Turchi, Giuseppe Prencipe, Giuseppina Sgandurra
- Toward a Human-Centered Metric for Evaluating Trust in Artificial Intelligence Systems (short paper) 119-127
  Andrea Esposito, Giuseppe Desolda, Rosa Lanzilotti

### Workshop 2: Workshop on Best Practices and Guidelines for Human-Centric Design and Evaluation of Proactive AI Agents (BEHAVE AI)

Organizers: Matthias Kraus (University of Augsburg, Germany), Sebastian Zepf (Mercedes-Benz AG), Rebecca Westhäußer (Mercedes-Benz AG), Isabel Feustel (Ulm University, Germany), Nima Zargham (University of Bremen, Germany), Ilhan Aslan (Aalborg University, Denmark), Justin Edwards (University of Oulu, Finland), Sven Mayer (LMU Munich, Germany), Dimosthenis Kontogiorgos (Massachusetts Institute of Technology, USA), Nicolas Wagner (Otto-Friedrich-University Bamberg, Germany), Elisabeth André (University of Augsburg, Germany)
The last years have seen a significant rise in interest in highly autonomous and proactive agents fueled by the progress of AI. While there is various research on the design, implementation, and evaluation of proactive agents, there remains a critical gap in the methodologies used for both design and evaluation, which are largely informed by reactive system design principles. Our fullday multidisciplinary workshop brings together researchers and practitioners from the IUI community in academia and industry to understand the challenges of designing and evaluating proactive agents in a human-centric manner. We will reflect on existing evaluation methods, identify challenges in designing proactive systems, and discuss potential solutions, best practices, and human-centric guidelines to bridge these gaps. Ultimately, our goal is to map out key focus areas and research challenges, fostering strong interdisciplinary relationships within and across fields related to Artificial Intelligence (AI) and Human-Computer Interaction (HCI).
More details here.

- Insights for Proactive Agents: Design Considerations, Challenges, and Recommendations 128-139
  Anargh Viswanath, Hendrik Buschmeier
- Toward Proactive Dialogic AI Agents 140-151
  Sofia Brenna, Elisabetta Jezek, Bernardo Magnini
- Designing Proactive Voice Interfaces: Key Factors for Office Settings (short paper) 152-160
  Shashank Ahire, Michael Rohs
- Implicit Interactions in Proactive Systems: Evaluation Challenges and Adaptations for Nielsen's Heuristics (short paper) 161-169
  Alba Bisante, Alan Dix, Emanuele Panizzi, Stefano Zeppieri
- Designing and Evaluating Human-Centred AI Systems: Best-Practices from a Multidisciplinary View (short paper) 170-178
  Giuseppe Desolda, Andrea Esposito, Rosa Lanzilotti, Antonio Piccinno
- A Vision for Room-scale AI Interaction 179-189
  Carl Oechsner, Jan Leusmann, Xuedong Zhang, Thomas Weber, Sven Mayer

### Workshop 3: 6th Workshop on Human-AI Co-Creation with Generative Models (HAI-GEN 2025)

Organizers: Osnat Mokryn (University of Haifa, Israel), Orit Shaer (Wellesley College, USA), Werner Geyer (IBM Research AI), Mary Lou Maher (UNC Charlotte, USA), Justin D. Weisz (IBM Research AI), Daniel Buschek (University of Bayreuth, Germany), Lydia B. Chilton (Columbia University, USA)
Generative Artificial Intelligence (GAI) models capable of complex tasks are revolutionizing areas previously considered to define humanity, such as creativity, design, and knowledge work. Research reports that Human-GAI co-creation processes can enhance creativity and even foster a sense of empowerment. A key innovation is the intent-based outcome specification, where users define desired results through natural language, sketches, or gestures, thus shifting control from users to AI models. This paradigm enables new forms of co-creation while presenting challenges in creating effective and safe outcome specifications. This workshop aims to investigate the design, implementation, and evaluation of intent-based co-creative experiences that boost human creativity in work, play, and education across text, images, audio, code, and video. Key questions focus on how creativity support can guide generative AI development and how to leverage generative models for positive user experiences. By uniting researchers and practitioners from Human-Computer Interaction (HCI) and AI, the workshop seeks to deepen understanding of human-AI cocreative interactions and explore opportunities and challenges in developing meaningful and safe generative systems.
More details here.

- Towards Improving Visual Chatbot Builders with Intent-based Copilots (short paper) 190-199
  Emanuel Lacic, Petra Fribert, Anamarija Lukac, Ivica Lovric
- Exploring Industry Practices and Perspectives on AI Attribution in Co-Creative Use Cases 200-210
  Jessica He, Hyo Jin Do
- ACE: Moving toward Co-Investigation with the Agentic Code Explorer 211-224
  Dario Andres Silva Moran, Kristina Brimijoin, Gabriel Enrique Gonzalez, Stephanie Houde, Michael Muller, Michelle Brachman, Justin D. Weisz
- Online Storytelling Spaces: Exploring Participants' Perceptions of Overt and Covert AI Agents 225-235
  Roi Alfassi, Angelora Cooper, Zoe Mitchel, Mary Calabro, Orit Shaer, Osnat Mokryn
- Fostering Co-creativity with Tangible Materials 236-252
  Johanna Okerlund, Bethany Vasquez, Zoe Mitchell, Orit Shaer
- Designing an Agentic AI Assistant for Chemical Discovery 253-265
  Siya Kunde, Stephanie Houde, Rachel K. E. Bellamy
- MetricMate: An Interactive Tool for Generating Evaluation Criteria for LLM-as-a-Judge Workflow 266-278
  Simret Araya Gebreegziabher, Charles Chiang, Zichu Wang, Zahra Ashktorab, Michelle Brachman, Werner Geyer, Toby Jia-Jun Li, Diego Gómez-Zará
- Conceptualizing Agency: A Framework for Human-AI Interaction 279-289
  Alexander Zhang, Lav R. Varshney
- The Accessibility Landscape of Co-Creative AI Systems: Analysis, Insights and Recommendations 290-301
  Makenzie Preston, Jeba Rezwana

### Workshop 4: Workshop on Intelligent and Interactive Health User Interfaces (HealthIUI)

Organizers: Peter Brusilovsky (University of Pittsburgh, USA), Denis Parra (Pontificia Universidad Católica, Chile), Behnam Rahdari (University of Pittsburgh, USA), Shriti Raj (Stanford University, USA), Helma Torkamaan (TU Delft, Netherlands)
The HealthIUI workshop explores the integration of intelligent user interfaces in health and care, focusing on AI-driven solutions that enhance user engagement, support clinical decision-making, and improve health information access. The workshop brings together experts from human-computer interaction, AI, and healthcare to address challenges such as transparency, usability, and ethical considerations in AI-assisted health applications. Topics covered include generative AI for patient and caregiver support, AI-powered clinical decision support, adaptive visualization for consumer health information, and explainable AI in nursing care. Through paper presentations and discussions, the workshop fosters interdisciplinary collaboration to advance intelligent health interfaces that balance technical innovation with user-centric design principles
More details here.

- ExpliCareNEXT: Human-Centered Explainable AI Solutions for Nursing Care (short paper) 302-310
  Julia Hermann, Sebastian van Ledden, Christian Meske, Enrico Löhrke, Edwin Naroska, Todor Dimitrov, Sabahat Ölcer, Aysegül Dogangün
- TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts (short paper) 311-318
  Baihan Lin, Stefan Zecevic, Djallel Bouneffouf, Guillermo Cecchi
- Exploring a Screensaver-Based System for Visualizing Health Status to Reduce Presenteeism: A Preliminary Evaluation 319-332
  Sana Ozono, Year Nakamura, Yutaka Arakawa
- The Development of an AI-Assistant to Therapists in a Chat-based Psychological Intervention: Gathering Users' First Impressions of the Experience 333-350
  Neha Deshpande, Mariam Fishere, Stefan Hillmann, Jorge P. Marqués, Catarina B. Ferreira, Sofia Silva, Ricardo Barroso, Klaus M. Beier
- A User-Centric Adaption Model for Document Visualizations with Different Levels of Detail within a Consumer Health Information System (short paper) 351-359
  Mariia Tytarenko, Christian Wolfgang Burtscher, Daniel Atzberger, Adrian Jobst, Willy Scheibel, Stefan Lengauer, Tobias Schreck
- An AI-driven Clinical Decision Support System for the Treatment of Diabetic Retinopathy and Age-related Macular Degeneration 360-370
  Robert Andreas Leist, Hans-Jürgen Profitlich, Daniel Sonntag
- Can Generative AI Support Patients' & Caregivers' Informational Needs? Towards Task-Centric Evaluation Of AI Systems 371-390
  Shreya Rajagopal, Jae Ho Sohn, Hari Subramonyam, Shiwali Mohan

### Workshop 5: Mixed-Initiative Next-gen Design: Workshop on Blending Agents and Direct Manipulation for Harnessing LLMs (MIND)

Organizers: Karthik Dinakar (Pienso Inc), Henry Lieberman (MIT CSAIL), Meng-Hsin Wu (Pienso Inc)
Since the 1980s, a key debate in human-centered computing involving machine learning at IUI is between agent-driven systems and direct manipulation. The explosion of Large Language Models (LLMs), particularly auto-regressive as agents serving as chatbots, generative search, and work automation tools, has also brought with it inherent limitations. We posit that efforts to address and alleviate these LLM challenges-hallucinations, unpredictable outputs, lack of transparency, and difficulties in customization-cannot be solved through algorithmic improvements alone but require elevated mixed-initiative interface design at the heart of the IUI community. This workshop aims to bridge the gap between agent-driven automation and direct manipulation by exploring mixed-initiative interaction models that blend the strengths of both paradigms to empower end-users seeking to harness LLMs.
More details here.

- A Pilot Study: Naive smart interfaces can cause accidents 391-401
  Christian Arnold, Paul Robertson, Zoe Robertson, Robert Laddaga, Boris Katz, Andrei Barbu
- CalPal: An Intelligent Multimodal Digital Wall Calendar (short paper) 402-408
  Devin Murphy, Jenny Moralejo, Paul Pu Liang
- Generative AI's aggregated knowledge versus web-based curated knowledge (short paper) 409-418
  Ted Selker, Yunzi Wu
- SecureLLM: New private and confidential interfaces with LLMs 419-429
  Abdulrahman Alabdulkareem, Christian Arnold, Yerim Lee, Pieter M Feenstra, Boris Katz, Andrei Barbu
- TextVision: A more efficient way to work with research 430-443
  Melis Aslan, Maximilian Bosse, Daniel Ehlers, Marlon Hinz, Philipp Olschewski, Jannik Podszun, Elias Scharlach, Leon Selzer, Yukun Wu, Aliki Anagnostopoulou, Daniel Sonntag

### Workshop 6: Social and Cultural Integration with Personalized Interfaces (SOCIALIZE 2025)

Organizers: Berardina De Carolis (University of Bari, Italy), Fabio Gasparetti (Roma Tre University, Italy), Cristina Gena (University of Torino, Italy), Styliani Kleanthous (Open University of Cyprus, Cyprus), Giuseppe Sansonetti (Roma Tre University, Italy)
This is the ffth edition of the SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) workshop. This year's event, like those before it, focuses on bringing together technology enthusiasts to break down barriers - whether they are cultural, social, or linguistic. We especially want to help people who struggle with making connections. In this context, social robots could play a vital role in achieving these ambitious aims. This year's edition has been particularly successful in terms of submissions. After the review process, 13 articles were accepted, all addressing relevant and timely topics. The authors hope that their presentations will inspire fruitful and engaging discussions among the participants.
More details here.

- Social Robot Assistant for Group Interactions with Secondary School Students: A Participatory Design Study (short paper) 444-452
  Manith Adikari, Annie O'brien, Suzanne Hamilton, Alexandra Hennessey, Samuele Vinanzi, Angelo Cangelosi
- Graph of Goal-Oriented Thoughts: Design and Implementation of LLM Agents (short paper) 453-464
  Dario Badagliacca, Gabriele Caruso, Agnese Augello, Luca Sabatucci
- Pepper-based serious games for older adults: initial experiences in real-world settings (short paper) 465-473
  Giulio Canapa, Benedetta Catricalà, Marco Manca, Fabio Paternò, Carmen Santoro, Eleonora Zedda
- Enhancing a Conversational Agent with Social Cues: An Investigation into the Impact of Shared Identity and Goal Setting 474-489
  Nikki Mae Evers, Iris Hendrickx
- Multimodal Physiological Sensing for Adaptive Learning Environments (short paper) 490-496
  Alessio Ferrato, Lorenzo Battisti, Giorgio Biancini, Marco Napoleone, Sabrina Fagioli, Carla Limongelli, Mauro Mezzini, Davide Nardo, Giuseppe Sansonetti
- A Comparative Analysis of Social Media Content on Migration in Italy and the United States (short paper) 497-505
  Gian Marco Francavilla, Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli
- Attention-Capture Damaging Patterns in UI Design: In Search of a Socio-Technical Mitigation Strategy (short paper) 506-515
  Tales Gomes, Daniel Schneider, António Correia
- Inclusive Interactions for Place-Belongingness: Lessons fron Citizen Science 516-530
  Hesam Mohseni, Johanna Silvennoinen, António Correia
- How Do Bias Strategies and Appearance Shape Avatar Preferences?: Toward the Development of Avatars for Health Support 531-543
  Sana Ozono, Carolin Schindler, Yugo Nakamura, Yutaka Arakawa, Wolfgang Minker
- Towards an Ontology of Human Explanations of Robotic Behavior 544-555
  Maria Rausa, Agnese Augello, Antonio Lieto
- On the usability of generative AI: Human generative AI (short paper) 556-565
  Anna Ravera, Cristina Gena
- Towards Personal Robotics: An Analysis of the State of the Art (short paper) 566-574
  Aurora Toma, Davide Lofrese, Giuseppe Palestra, Berardina De Carolis
- Use of de-polarizing techniques to influence students in a Cultural Heritage setting (short paper) 575-579
  Alan Wecker, Tsafrir Goldberg, Tal Tabashi, Joel Lanir, Tsvi Kuflik

### Workshop 7: Strengthening Engineering Psychology for Human-Algorithm Interactions (STEP-HAI)

Organizers: Patricia Kahr (Eindhoven University of Technology, Netherlands), Tim Schrills (University of Lübeck, Germany), Thomas Franke (University of Lübeck, Germany)
As intelligent systems become increasingly integrated into our daily lives, understanding human cognition, motivation, and behavior is essential to designing effective and trustworthy algorithmic systems. Although empirical research on human-algorithm interaction (HAI) is growing rapidly, we nonetheless observe that theoretical frameworks often lack the integration of foundational principles from cognitive and engineering psychology. The STEP-HAI workshop (Strengthening Theoretical and Empirical Principles in Human-AI Interaction) addresses this challenge by bringing together researchers and practitioners to discuss psychological frameworks, experimental methodologies, and measurement approaches in HAI. Key topics include information processing, cognitive and behavioral factors, and the influence of user perceptions, such as trust or situational awareness, in algorithm-assisted decision-making. By fostering cross-disciplinary dialogue between researchers and practitioners, STEP-HAI aims to define research priorities and bridge the gap between theoretical models and real-world AI applications, promoting more robust, psychologically grounded approaches to AI development.
More details here.

- Can Less Be More? Understanding the Relation of Expertise and Automation Patterns in Medical XAI (short paper) 580-588
  Anton de Vries, Thomas Franke, Tim Schrills
- Designing AI Systems for Mental Model Development (short paper) 589-594
  Michael Hoefer
- Keep talking and nobody decides: How can AI augment users' ability to detect misinformation while balancing engagement and workload? (short paper) 595-602
  Maged Mortaga, Marvin Sieger, Lilian Kojan, Hendrik Nunner, Leonard Stellbrink, André Calero Valdez, Tim Schrills

2025-03-18: submitted by Ziang Xiao, metadata incl. bibliographic data published under Creative Commons CC0
2025-05-02: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|