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| 2025 | "Show Me How": Benefits and Challenges of Agent-Augmented Counterfactual Explanations for Non-Expert Users. Aditya Bhattacharya, Tim Vanherwegen, Katrien Verbert |
| 2025 | "Strangers in a new culture see only what they know": Evaluating Effectiveness of GPT-4 Omni for Detecting Cross-Cultural Communication Norm Violations. Tzu-Yu Weng, Hanna AlZughbi, Isaac Rabago, Erin Arévalo Chaves, Erik Vagil, Nancy Fulda, Erin Ash, Mainack Mondal, Bart P. Knijnenburg, Xinru Page |
| 2025 | AI-Assisted Learning. Mubina Kamberovic |
| 2025 | Adaptive User Modeling in Visual Merchandising: Balancing Brand Identity with Operational Efficiency. Potito Aghilar, Vito Walter Anelli, Andrea Lops, Fedelucio Narducci, Azzurra Ragone, Sabino Roccotelli, Michelantonio Trizio |
| 2025 | Addressing Personalized Diversity in Eyewear Recommendation: a Lenskart Case Study. Lalit Kishore Vyas, Ludovico Boratto |
| 2025 | Assessing Medical Training Skills via Eye and Head Movements. Kayhan Latifzadeh, Luis A. Leiva, Klen Copic Pucihar, Matjaz Kljun, Iztok Devetak, Lili Steblovnik |
| 2025 | Augmenting Personalized Memory via Practical Multimodal Wearable Sensing in Visual Search and Wayfinding Navigation. Indrajeet Ghosh, Kasthuri Jayarajah, Nicholas R. Waytowich, Nirmalya Roy |
| 2025 | Bridging Preferences: Multi-Stakeholder Insights on Ideal News Recommendations. Thomas Elmar Kolb, Irina Nalis, Julia Neidhardt |
| 2025 | Can Path-Based Explainable Recommendation Methods based on Knowledge Graphs Generalize for Personalized Education? Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras, Andrea Giovanni Martis |
| 2025 | Circumventing Misinformation Controls: Assessing the Robustness of Intervention Strategies in Recommender Systems. Royal Pathak, Francesca Spezzano |
| 2025 | Cognitive-Emotional Modeling and Hybrid Intelligence: A User-Centered Approach to Psychomotor Interventions in Active Aging. Dayris Rapado |
| 2025 | Comparing Cognitive and Affective Theory of Mind for an Assistive Robotics Application. Luca Raggioli, Antimo Cantiello, Raffaella Esposito, Alessandra Rossi, Silvia Rossi |
| 2025 | Disentangling Stakeholder Role and Expertise in User-Centered Explainable AI. Maxwell Szymanski, Vero Vanden Abeele, Katrien Verbert |
| 2025 | Effects of Quantitative Explanations on Fairness Perception in Group Recommender Systems. Patrik Dokoupil, Ladislav Peska |
| 2025 | Empowering Recommender Systems based on Large Language Models through Knowledge Injection Techniques. Alessandro Petruzzelli, Cataldo Musto, Marco de Gemmis, Giovanni Semeraro, Pasquale Lops |
| 2025 | Enabling Novices to Diagnose Robot Failures by Aligning Users' Mental Models of Robots. Gregory LeMasurier |
| 2025 | Enhancing Digital Narrative Medicine through Emotion Analysis in Conversational Agents. Maria Grazia Miccoli, Berardina Nadja De Carolis, Giuseppe Palestra, Aurora Toma |
| 2025 | Enhancing Personalisation in Fantasy Sports with Graph-Based Representations. Anupam Agrawal, Jil Kothari, Siddhesh Chaubal, Palash Tatte |
| 2025 | Exploring Persuasive Engagement to Reduce Over-Reliance on AI-Assistance in a Customer Classification Case. Muhammad Raees, Vassilis-Javed Khan, Konstantinos Papangelis |
| 2025 | Familiarizing with Music: Discovery Patterns for Different Music Discovery Needs. Marta Moscati, Darius Afchar, Markus Schedl, Bruno Sguerra |
| 2025 | Finding Interest Needle in Popularity Haystack: Improving Retrieval by Modeling Item Exposure. Rahul Agarwal, Amit Jaspal, Saurabh Gupta, Omkar Vichare |
| 2025 | GAL-KARS: Exploiting LLMs for Graph Augmentation in Knowledge-Aware Recommender Systems. Giuseppe Spillo, Cataldo Musto, Matteo Mannavola, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro |
| 2025 | GNN's FAME: Fairness-Aware MEssages for Graph Neural Networks. Erasmo Purificato, Hannan Javed Mahadik, Ludovico Boratto, Ernesto William De Luca |
| 2025 | Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent Knowledge. Donghuo Zeng, Roberto Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang |
| 2025 | Granular Feedback: Leveraging Domain Expertise and Explainable AI to Effectively Steer Models. Maxwell Szymanski, John C. Stamper, Vero Vanden Abeele, Katrien Verbert |
| 2025 | Impact of Adaptive Feedback on Learning Programming with a Serious Game in High Schools' Classes. Matthieu Branthôme, Sébastien Lallé |
| 2025 | Integrating Expert Knowledge With Automated Knowledge Component Extraction for Student Modeling. Rafaella Sampaio de Alencar, Mehmet Arif Demirtas, Adittya Soukarjya Saha, Yang Shi, Peter Brusilovsky |
| 2025 | Integrating Indoor Positioning, Recommendation, and Personalization to Enhance Museum Visitor Experiences. Alessio Ferrato |
| 2025 | Investigating Speech and Multimedia Integration in Assistive Robots. Massimo Donini |
| 2025 | Just a Chill Robot. Strategies for relatable and personalized Assistive Robots for Autistic Children. Linda Pigureddu |
| 2025 | LLMs and Emotional Intelligence: Evaluating Emotional Understanding Through Psychometric Tools. Dhairya Dalal, Gaurav Negi, Davide Picca |
| 2025 | Learning User Interface Preferences via Contextual Discrete Choice Experimentation. William Fisher, Jacob Rhyne, Mark Bailey, Joseph Morgan, Ryan Lekivetz |
| 2025 | Legal but Unfair: Auditing the Impact of Data Minimization on Fairness and Accuracy Trade-off in Recommender Systems. Salvatore Bufi, Vincenzo Paparella, Vito Walter Anelli, Tommaso Di Noia |
| 2025 | Leveraging LLMs to Explain the Consequences of Recommendations. Sebastian Lubos, Michael Gartner, Alexander Felfernig, Reinhard Willfort |
| 2025 | Mindful Escape: a Mobile Serious Game to Predict the Personality Trait Cooperation. José Dias, Patrícia Alves, Joana Neto, Goreti Marreiros |
| 2025 | Mitigating Risks in Marketplace Semantic Search: A Dataset for Harmful and Sensitive Query Alignment. Filip Spacek, Vojtech Vancura, Pavel Kordík |
| 2025 | Personalized Fashion Advertising with Large Language Models: A Case Study on Fine-Tuning for Marketing Copy Generation. Andrea Lops, Fedelucio Narducci, Azzurra Ragone, Michelantonio Trizio |
| 2025 | Personalizing LLM Responses to Combat Political Misinformation. Adiba Mahbub Proma, Neeley Pate, James Druckman, Gourab Ghoshal, Ehsan Hoque |
| 2025 | Pilot Trainees Benefit from Modelling and Adaptive Feedback. Yalmaz Ali Abdullah, Michael Guevarra, Minghao Cai, Jialiang Yan, Matthew E. Taylor, Carrie Demmans Epp |
| 2025 | Predicting Movie Hits Before They Happen with LLMs. Shaghayegh Agah, Yejin Kim, Neeraj Sharma, Mayur Nankani, Kevin Foley, H. Howie Huang, Sardar Hamidian |
| 2025 | Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2025, New York City, NY, USA, June 16-19, 2025 |
| 2025 | Segment, Recommend, and Explain: Advancing Conversational Recommender Systems with Large Language Model Agents. Fillipe dos Santos Silva |
| 2025 | Sentence Encoder-Based Clustering Method for Modeling Students' Learning Programming Behavior. Mubina Kamberovic, Amina Mevic, Senka Krivic |
| 2025 | Should We Tailor the Talk? Understanding the Impact of Conversational Styles on Preference Elicitation in Conversational Recommender Systems. Ivica Kostric, Krisztian Balog, Ujwal Gadiraju |
| 2025 | Supporting User Information Processing Through Large Language Models Within the Political Sphere. Neeley Pate |
| 2025 | Synthetic Voices: Evaluating the Fidelity of LLM-Generated Personas in Representing People's Financial Wellbeing. Arshnoor Kaur, Amanda Aird, Harris Borman, Andrea Nicastro, Anna Leontjeva, Luiz Pizzato, Dan Jermyn |
| 2025 | Task-specific, personalized Automatic Speech Recognition. Fahrettin Gökgöz, Hussein Hasso |
| 2025 | Teaming in the AI Era: AI-Augmented Frameworks for Forming, Simulating, and Optimizing Human Teams. Mohammed Almutairi |
| 2025 | The Effect of Nudging Techniques on the Customisation and Usability of Visual Analytics Dashboards. Hatim Alsayahani, Mohammed Alhamadi, Simon Harper, Markel Vigo |
| 2025 | The role of GPT as an adaptive technology in climate change journalism. Jia Hua Jeng, Gloria Kasangu, Alain Starke, Khadiga Mahmoud Abdalla Seddik, Christoph Trattner |
| 2025 | Towards Intelligent VR Training: A Physiological Adaptation Framework for Cognitive Load and Stress Detection. Mahsa Nasri |
| 2025 | Towards Personalized Physiotherapy via Common Semantic Fusion: Multi-Modal Learning, Computer Vision and Empathetic NLP. Victor Garcia |
| 2025 | Training Green and Sustainable Recommendation Models: Introducing Carbon Footprint Data into Early Stopping Criteria. Giuseppe Spillo, Allegra De Filippo, Emanuele Fontana, Michela Milano, Giovanni Semeraro |
| 2025 | UI-JEPA: Towards Active Perception of User Intent through Onscreen User Activity. Yicheng Fu, Raviteja Anantha, Prabal Vashisht, Jianpeng Cheng, Etai Littwin |
| 2025 | Uncertainty in Repeated Implicit Feedback as a Measure of Reliability. Bruno Sguerra, Viet-Anh Tran, Romain Hennequin, Manuel Moussallam |
| 2025 | Unveiling Creativity in Student Code: A Gaussian Mixture Model Approach. Veronika Bogina, Arnon Hershkovitz, Noam Koenigstein |
| 2025 | What Is Serendipity? An Interview Study to Conceptualize Experienced Serendipity in Recommender Systems. Brett Binst, Lien Michiels, Annelien Smets |
| 2025 | Why Context Matters: Exploring How Musical Context Impacts User Behavior, Mood, and Musical Preferences. Anna Hausberger, Emilia Parada-Cabaleiro, Markus Schedl |
| 2025 | With Friends Like These, Who Needs Explanations? Evaluating User Understanding of Group Recommendations. Cedric Waterschoot, Raciel Yera Toledo, Nava Tintarev, Francesco Barile |