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ORCID33rd UMAP 2025: New York City, NY, USA
- Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2025, New York City, NY, USA, June 16-19, 2025. ACM 2025, ISBN 979-8-4007-1313-2
Full Papers
- Kayhan Latifzadeh
, Luis A. Leiva, Klen Copic Pucihar, Matjaz Kljun, Iztok Devetak, Lili Steblovnik:
Assessing Medical Training Skills via Eye and Head Movements. 1-10 - Indrajeet Ghosh, Kasthuri Jayarajah, Nicholas R. Waytowich, Nirmalya Roy:
Augmenting Personalized Memory via Practical Multimodal Wearable Sensing in Visual Search and Wayfinding Navigation. 11-21 - Luca Raggioli, Antimo Cantiello, Raffaella Esposito, Alessandra Rossi, Silvia Rossi:
Comparing Cognitive and Affective Theory of Mind for an Assistive Robotics Application. 22-31 - Maxwell Szymanski, Vero Vanden Abeele, Katrien Verbert:
Disentangling Stakeholder Role and Expertise in User-Centered Explainable AI. 32-39 - Alessandro Petruzzelli, Cataldo Musto, Marco de Gemmis, Giovanni Semeraro, Pasquale Lops:
Empowering Recommender Systems based on Large Language Models through Knowledge Injection Techniques. 40-50 - Siddharth Mehrotra, Ujwal Gadiraju, Eva A. C. Bittner, Folkert van Delden, Catholijn M. Jonker, Myrthe L. Tielman:
"Even explanations will not help in trusting [this] fundamentally biased system": A Predictive Policing Case-Study. 51-62 - Marta Moscati, Darius Afchar, Markus Schedl, Bruno Sguerra:
Familiarizing with Music: Discovery Patterns for Different Music Discovery Needs. 63-72 - Giuseppe Spillo, Cataldo Musto, Matteo Mannavola, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
GAL-KARS: Exploiting LLMs for Graph Augmentation in Knowledge-Aware Recommender Systems. 73-82 - Donghuo Zeng, Roberto Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang:
Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent Knowledge. 83-93 - Maxwell Szymanski, John C. Stamper, Vero Vanden Abeele, Katrien Verbert:
Granular Feedback: Leveraging Domain Expertise and Explainable AI to Effectively Steer Models. 94-103 - Matthieu Branthôme, Sébastien Lallé:
Impact of Adaptive Feedback on Learning Programming with a Serious Game in High Schools' Classes. 104-113 - Salvatore Bufi, Vincenzo Paparella, Vito Walter Anelli, Tommaso Di Noia:
Legal but Unfair: Auditing the Impact of Data Minimization on Fairness and Accuracy Trade-off in Recommender Systems. 114-123 - José Dias, Patrícia Alves, Joana Neto, Goreti Marreiros:
Mindful Escape: a Mobile Serious Game to Predict the Personality Trait Cooperation. 124-133 - Adiba Mahbub Proma, Neeley Pate, James Druckman, Gourab Ghoshal, Ehsan Hoque:
Personalizing LLM Responses to Combat Political Misinformation. 134-143 - Yalmaz Ali Abdullah, Michael Guevarra, Minghao Cai, Jialiang Yan, Matthew E. Taylor, Carrie Demmans Epp:
Pilot Trainees Benefit from Modelling and Adaptive Feedback. 144-154 - Mubina Kamberovic, Amina Mevic, Senka Krivic:
Sentence Encoder-Based Clustering Method for Modeling Students' Learning Programming Behavior. 155-163 - Ivica Kostric, Krisztian Balog, Ujwal Gadiraju:
Should We Tailor the Talk? Understanding the Impact of Conversational Styles on Preference Elicitation in Conversational Recommender Systems. 164-173 - Aditya Bhattacharya, Tim Vanherwegen, Katrien Verbert:
"Show Me How": Benefits and Challenges of Agent-Augmented Counterfactual Explanations for Non-Expert Users. 174-184 - Arshnoor Kaur, Amanda Aird, Harris Borman, Andrea Nicastro, Anna Leontjeva, Luiz Pizzato, Dan Jermyn:
Synthetic Voices: Evaluating the Fidelity of LLM-Generated Personas in Representing People's Financial Wellbeing. 185-193 - Fahrettin Gökgöz, Hussein Hasso:
Task-specific, personalized Automatic Speech Recognition. 194-203 - Hatim Alsayahani, Mohammed Alhamadi, Simon Harper, Markel Vigo:
The Effect of Nudging Techniques on the Customisation and Usability of Visual Analytics Dashboards. 204-213 - Jia Hua Jeng, Gloria Kasangu, Alain Starke, Khadiga Mahmoud Abdalla Seddik, Christoph Trattner:
The role of GPT as an adaptive technology in climate change journalism. 214-223 - Yicheng Fu, Raviteja Anantha, Prabal Vashisht, Jianpeng Cheng, Etai Littwin:
UI-JEPA: Towards Active Perception of User Intent through Onscreen User Activity. 224-233 - Bruno Sguerra, Viet-Anh Tran, Romain Hennequin, Manuel Moussallam:
Uncertainty in Repeated Implicit Feedback as a Measure of Reliability. 234-242 - Brett Binst, Lien Michiels, Annelien Smets:
What Is Serendipity? An Interview Study to Conceptualize Experienced Serendipity in Recommender Systems. 243-252 - Cedric Waterschoot, Raciel Yera Toledo, Nava Tintarev, Francesco Barile:
With Friends Like These, Who Needs Explanations? Evaluating User Understanding of Group Recommendations. 253-262
Short Papers
- Lalit Kishore Vyas, Ludovico Boratto:
Addressing Personalized Diversity in Eyewear Recommendation: a Lenskart Case Study. 263-267 - Thomas Elmar Kolb, Irina Nalis, Julia Neidhardt:
Bridging Preferences: Multi-Stakeholder Insights on Ideal News Recommendations. 268-272 - Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras, Andrea Giovanni Martis:
Can Path-Based Explainable Recommendation Methods based on Knowledge Graphs Generalize for Personalized Education? 273-278 - Royal Pathak, Francesca Spezzano:
Circumventing Misinformation Controls: Assessing the Robustness of Intervention Strategies in Recommender Systems. 279-284 - Patrik Dokoupil, Ladislav Peska:
Effects of Quantitative Explanations on Fairness Perception in Group Recommender Systems. 285-289 - Maria Grazia Miccoli, Berardina Nadja De Carolis, Giuseppe Palestra, Aurora Toma:
Enhancing Digital Narrative Medicine through Emotion Analysis in Conversational Agents. 290-294 - Muhammad Raees, Vassilis-Javed Khan, Konstantinos Papangelis:
Exploring Persuasive Engagement to Reduce Over-Reliance on AI-Assistance in a Customer Classification Case. 295-300 - Erasmo Purificato, Hannan Javed Mahadik, Ludovico Boratto, Ernesto William De Luca:
GNN's FAME: Fairness-Aware MEssages for Graph Neural Networks. 301-306 - Rafaella Sampaio de Alencar, Mehmet Arif Demirtas, Adittya Soukarjya Saha, Yang Shi, Peter Brusilovsky:
Integrating Expert Knowledge With Automated Knowledge Component Extraction for Student Modeling. 307-312 - William Fisher, Jacob Rhyne, Mark Bailey, Joseph Morgan, Ryan Lekivetz:
Learning User Interface Preferences via Contextual Discrete Choice Experimentation. 313-317 - Sebastian Lubos, Michael Gartner, Alexander Felfernig, Reinhard Willfort:
Leveraging LLMs to Explain the Consequences of Recommendations. 318-322 - Dhairya Dalal, Gaurav Negi, Davide Picca:
LLMs and Emotional Intelligence: Evaluating Emotional Understanding Through Psychometric Tools. 323-328 - Filip Spacek, Vojtech Vancura, Pavel Kordík:
Mitigating Risks in Marketplace Semantic Search: A Dataset for Harmful and Sensitive Query Alignment. 329-334 - Tzu-Yu Weng, Hanna AlZughbi, Isaac Rabago, Erin Arévalo Chaves, Erik Vagil, Nancy Fulda, Erin Ash, Mainack Mondal, Bart P. Knijnenburg, Xinru Page:
"Strangers in a new culture see only what they know": Evaluating Effectiveness of GPT-4 Omni for Detecting Cross-Cultural Communication Norm Violations. 335-340 - Giuseppe Spillo, Allegra De Filippo, Emanuele Fontana, Michela Milano, Giovanni Semeraro:
Training Green and Sustainable Recommendation Models: Introducing Carbon Footprint Data into Early Stopping Criteria. 341-346 - Veronika Bogina, Arnon Hershkovitz, Noam Koenigstein:
Unveiling Creativity in Student Code: A Gaussian Mixture Model Approach. 347-351 - Anna Hausberger, Emilia Parada-Cabaleiro, Markus Schedl:
Why Context Matters: Exploring How Musical Context Impacts User Behavior, Mood, and Musical Preferences. 352-357
Industry Papers
- Potito Aghilar, Vito Walter Anelli, Andrea Lops, Fedelucio Narducci, Azzurra Ragone, Sabino Roccotelli, Michelantonio Trizio:
Adaptive User Modeling in Visual Merchandising: Balancing Brand Identity with Operational Efficiency. 358-360 - Anupam Agrawal, Jil Kothari, Siddhesh Chaubal, Palash Tatte:
Enhancing Personalisation in Fantasy Sports with Graph-Based Representations. 361-363 - Rahul Agarwal, Amit Jaspal, Saurabh Gupta, Omkar Vichare:
Finding Interest Needle in Popularity Haystack: Improving Retrieval by Modeling Item Exposure. 364-366 - Andrea Lops, Fedelucio Narducci, Azzurra Ragone, Michelantonio Trizio:
Personalized Fashion Advertising with Large Language Models: A Case Study on Fine-Tuning for Marketing Copy Generation. 367-369 - Shaghayegh Agah, Yejin Kim, Neeraj Sharma, Mayur Nankani, Kevin Foley, H. Howie Huang, Sardar Hamidian:
Predicting Movie Hits Before They Happen with LLMs. 370-373
Doctoral Consortium Papers
- Mubina Kamberovic:
AI-Assisted Learning. 374-378 - Dayris Rapado:
Cognitive-Emotional Modeling and Hybrid Intelligence: A User-Centered Approach to Psychomotor Interventions in Active Aging. 379-382 - Gregory LeMasurier:
Enabling Novices to Diagnose Robot Failures by Aligning Users' Mental Models of Robots. 383-387 - Alessio Ferrato:
Integrating Indoor Positioning, Recommendation, and Personalization to Enhance Museum Visitor Experiences. 388-392 - Massimo Donini:
Investigating Speech and Multimedia Integration in Assistive Robots. 393-397 - Linda Pigureddu:
Just a Chill Robot. Strategies for relatable and personalized Assistive Robots for Autistic Children. 398-403 - Fillipe dos Santos Silva:
Segment, Recommend, and Explain: Advancing Conversational Recommender Systems with Large Language Model Agents. 404-408 - Neeley Pate:
Supporting User Information Processing Through Large Language Models Within the Political Sphere. 409-413 - Mohammed Almutairi:
Teaming in the AI Era: AI-Augmented Frameworks for Forming, Simulating, and Optimizing Human Teams. 414-418 - Mahsa Nasri:
Towards Intelligent VR Training: A Physiological Adaptation Framework for Cognitive Load and Stress Detection. 419-423 - Victor Garcia:
Towards Personalized Physiotherapy via Common Semantic Fusion: Multi-Modal Learning, Computer Vision and Empathetic NLP. 424-428
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