Table of Contents

• Conducting Recommender Systems User Studies Using POPROXRobin Burke, Michael D. Ekstrand. 1-2 [doi]
• Conducting User Experiments with Personalized SystemsBart P. Knijnenburg. 3-4 [doi]
• Data Access under the EU Digital Services Act and its Impact on User Modelling ResearchErasmo Purificato, Ludovico Boratto, João Vinagre. 5-7 [doi]
• Designing Intelligent User Interfaces for Well-Being (Tutorial)Ernesto William De Luca, Julian Marvin Jörs, Marko Tkalcic. 8-9 [doi]
• Human-Centered and Sustainable Recommender SystemsAllegra De Filippo, Ludovico Boratto, Giuseppe Spillo. 10-12 [doi]
• Beyond Demographics: Evaluating News Recommender Systems Fairness Through Behavioural CommunitiesBernhard Steindl, Thomas Elmar Kolb, Julia Neidhardt. 13-17 [doi]
• BIRD: A Museum Open Dataset Combining Behavior Patterns and Identity Types to Better Model Visitors' ExperienceWorm Alexanne, Florian Marchal, Sylvain Castagnos. 18-22 [doi]
• Conceptual Framework for Group Dynamics Modeling from Group Chat InteractionsEsma Karahodza, Amra Delic, Francesco Ricci 0001. 23-27 [doi]
• Content-Based or Collaborative? Insights from Inter-List Similarity Analysis of ChatGPT RecommendationsDario Di Palma, Giovanni Maria Biancofiore, Vito Walter Anelli, Fedelucio Narducci, Tommaso Di Noia. 28-33 [doi]
• Enhancing News Recommendation Systems Using Multitask LearningPaolo Masciullo, Andrea Pazienza, Claudio Pomo, Fedelucio Narducci, Tommaso Di Noia. 34-38 [doi]
• Fine-Tuning Large Multimodal Models for Fitness Action Quality AssessmentGaetano Dibenedetto, Elio Musacchio, Marco Polignano, Pasquale Lops. 39-44 [doi]
• From Overall Sentiment to Aspect-Level Insights: A Pretraining Strategy for Unsupervised Aspect-based Sentiment AnalysisSimone Prete, Giovanni Maria Biancofiore, Fedelucio Narducci, Eugenio Di Sciascio, Tommaso Di Noia. 45-50 [doi]
• Human-AI Collaborated Ideation for Learning Reduce & Reuse WasteQiming Sun, I-Han Hsiao. 51-55 [doi]
• InteractiveReq: Enhancing Software Requirement Specification with Critiquing-based Recommender SystemsSebastian Lubos, Alexander Felfernig, Damian Garber, Viet Man Le, Manuel Henrich, Reinhard Willfort, Ivan Dukic. 56-61 [doi]
• Investigating AI in Programming Education: Self-Reported AI Usage, Individual Traits, and Learning OutcomesMubina Kamberovic, Amra Delic, Senka Krivic. 62-66 [doi]
• It's Time to Let Go: Stopping Criteria Recommendations in Content-rich DomainsMatej Scerba, Ladislav Peska. 67-71 [doi]
• JARVIS: Adaptive Dual-Hemisphere Architectures For Personalized Large Agentic ModelsFrancesco Manco, Domenico Roberto, Marco Polignano, Giovanni Semeraro. 72-76 [doi]
• Personalized Preference Profiles for Preference DiscoverySushmita Khan, Mehtab Iqbal, Laila Shafiee, Aminata Ndiaye Mbodj, Bart P. Knijnenburg. 77-81 [doi]
• Simulating Human Opinions with Large Language Models: Opportunities and Challenges for Personalized Survey Data ModelingCarolin Kaiser, Jakob Kaiser, Vladimir Manewitsch, Lea Rau, René Schallner. 82-86 [doi]
• Social Influence and the Perceived Fairness of Algorithmic Decisions: An Exploratory StudyStyliani Kleanthous, Anthi Ioannou, Filippos Papandreou. 87-92 [doi]
• Soundtracks of Our Lives: How Age Influences Musical PreferencesArsen Matej Golubovikj, Bruce Ferwerda, Alan Said, Marko Tkalcic. 93-97 [doi]
• Stealthy LLM-Driven Data Poisoning Attacks Against Embedding-Based Retrieval-Augmented Recommender SystemsFatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio. 98-102 [doi]
• Tell Me the Good Stuff: User Preferences in Movie Recommendation ExplanationsJuan Ahmad, Jonas Hellgren, Alan Said. 103-108 [doi]
• Thalamus: A User Simulation Toolkit for Prototyping Multimodal Sensing StudiesKayhan Latifzadeh, Luis A. Leiva. 109-113 [doi]
• The Kimono Era Has Long Passed: Generative AI-Assisted Reminiscence Therapy for Individuals with Late-Stage DementiaLiuru Nan, Panote Siriaraya, Wan-Jou She, Noriaki Kuwahara. 114-119 [doi]
• Towards Personalized and Contextualized Code ExplanationsMichelle Brachman, Arielle Goldberg, Andrew Anderson 0002, Stephanie Houde, Michael J. Muller, Justin D. Weisz. 120-125 [doi]
• Words reveal wants: How well can simple LLM-based AI agents replicate people's choices based on their social media postsSofie Goethals, Johannes Luther, Sandra C. Matz. 126-131 [doi]
• 6th Workshop on Adapted intEraction with SociAl Robots (cAESAR)Francesca Cocchella, Alberto Lillo, Giuseppe Palestra, Luca Raggioli, Giulia Scorza Azzarà, Cristina Gena. 132-135 [doi]
• Computational Models of Cognitive and Affective Theory of MindLuca Raggioli, Alessandra Rossi 0001, Silvia Rossi 0002. 136-143 [doi]
• Multimodal LLM Question Generation for Children's Art Engagement via Museum Social RobotsAlessio Ferrato, Cristina Gena, Carla Limongelli, Giuseppe Sansonetti. 144-150 [doi]
• Quantum-Enhanced Social Robotics: The QUADRI ProjectBerardina Nadja De Carolis, Corrado Loglisci, Maria Grazia Miccoli, Giuseppe Palestra, Sergio Violante. 151-155 [doi]
• Robots adapting to dogs: a new frontier?Angelo Paloka, Alberto Lillo, Fabiana Vernero, Filipa Correia, Valentina Nisi, Laura Lossi, Cristina Gena. 156-160 [doi]
• Towards a Structured Multimodal Speech-Image CoordinationMassimo Donini, Michael Oliverio, Pier Felice Balestrucci, Luca Anselma, Cristina Gena, Alessandro Mazzei, Matteo Nazzario, Irene Borgini. 161-168 [doi]
• vNAO: Virtual NAO as a Cognitive Companion for the ElderlyAlberto Lillo, Claudio Mattutino, Cristina Gena. 169-173 [doi]
• 7th Workshop on Explainable User Models and Personalised Systems (ExUM 2025)Cataldo Musto, Marco Polignano, Amon Rapp, Giovanni Semeraro, Jürgen Ziegler 0001. 174-176 [doi]
• Developing Human-Centered Intelligent Learning Systems: the application of CARAIX frameworkMiguel Portaz, Angeles Manjarrés Riesco, Olga C. Santos, Raúl Cabestrero, Pilar Quirós, Mar Hermosilla, David Puertas-Ramirez, Jesus Boticario, Gadea Lucas-Pérez, Ana Serrano Mamolar, Álvar Arnaiz-González, Miguel Arevalillo-Herráez, David Arnau, Pablo Arnau-González, Raúl Fernandez-Matellan, David Martín Gómez. 177-186 [doi]
• Explainable Sentiment Analysis through Counterfactual ReasoningSimone Prete, Giovanni Maria Biancofiore, Fedelucio Narducci, Eugenio Di Sciascio, Tommaso Di Noia. 187-191 [doi]
• Leveraging Generative AI to Improve Comprehensibility in Social Recommender SystemsMd. Ashaduzzaman, Chun-Hua Tsai. 192-201 [doi]
• Modeling Musical Genre Trajectories through Pathlet LearningLilian Marey, Charlotte Laclau, Bruno Sguerra, Tiphaine Viard, Manuel Moussallam. 202-210 [doi]
• PHaSE Project - Promoting Healthy and Sustainable Eating through Interactive and Explainable AI MethodsCataldo Musto, Amon Rapp, Ludovico Boratto. 211-213 [doi]
• "They Only Offer the Illusion of Choice": Exploring User Perceptions of Control and Agency on YouTubeMuheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Bamshad Mobasher. 214-218 [doi]
• Towards Explainable Temporal User Profiling with LLMsMilad Sabouri, Masoud Mansoury, Kun Lin, Bamshad Mobasher. 219-227 [doi]
• Towards Personalised and User-Friendly Counterfactual Sequences for Failure CorrectionJasmina Gajcin, Jovan Jeromela, Ivana Dusparic. 228-233 [doi]
• Towards Understanding Persuasive and Personalized Engagement for Human-AI RelianceMuhammad Raees 0002, Vassilis-Javed Khan, Konstantinos Papangelis. 234-236 [doi]
• What If the Prompt Were Different? Counterfactual Explanations for the Characteristics of Generative OutputsSofie Goethals, João Sedoc, Foster J. Provost. 237-242 [doi]
• 7th UMAP Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2025)Bamshad Mobasher, Styliani Kleanthous, Robin Burke, Avital Shulner Tal, Tsvi Kuflik. 243-244 [doi]
• A Fair Share: Fair Allocation of Satellite Observation Windows According to User Preferences in a Distributed SettingShai Krigman, Lihi Dery, Tal Grinshpoun. 245-248 [doi]
• Balancing Health Information-Seeking through Retrieval-Augmented Generation-Based LLM ChatbotGargi Nandy, Srishti Gupta 0002, Farhad Mohammad Afzali, Eric Peeples, Betsy Pilon, Chun-Hua Tsai. 249-254 [doi]
• Reducing the Emotional Distress of Content Moderators through LLM-based Target Substitution in Implicit and Explicit Hate-SpeechNazanin Jafari, James Allan. 255-264 [doi]
• Searching for BLM: Google Search Results During the 2020 Black Lives Matter ProtestsChau Tong. 265-273 [doi]
• Simulating the Algorithm Store: Multistakeholder Impacts of Recommender ChoiceAnas Buhayh, Elizabeth Mckinnie, Clement Canel, Robin Burke. 274-279 [doi]
• User and Recommender Behavior Over Time: Contextualizing Activity Effectiveness Diversity and Fairness in Book RecommendationSamira Vaez Barenji, Sushobhan Parajuli, Michael D. Ekstrand. 280-287 [doi]
• When to Ask a Question: Understanding Communication Strategies in Generative AI ToolsCharlotte Park, Kate Donahue, Manish Raghavan. 288-299 [doi]
• XAI4RE - Using Explainable AI for Responsible and Ethical AIAvital Shulner Tal, Julia Sheidin. 300-307 [doi]
• GMAP 2025: 4th Workshop on Group Modeling, Adaptation and PersonalizationFrancesco Barile, Amra Delic, Ladislav Peska, Isabella Saccardi, Cedric Waterschoot. 308-310 [doi]
• Bridging the Rift: A Critical Perspective on the Divergence in Group Recommender Systems ResearchLadislav Peska, Amra Delic, Francesco Barile, Patrik Dokoupil. 311-316 [doi]
• Group Modeling Cultural Dimension Values for Intercultural PersonalizationLaura Stojko. 317-321 [doi]
• The Pitfalls of Growing Group Complexity: LLMs and Social Choice-Based Aggregation for Group RecommendationsCedric Waterschoot, Nava Tintarev, Francesco Barile. 322-330 [doi]
• Towards Group Decision Support with LLM-based Meeting AnalysisSebastian Lubos, Alexander Felfernig, Damian Garber, Viet Man Le, Manuel Henrich, Reinhard Willfort, Jeremias Fuchs. 331-335 [doi]
• Hybrid AI for Human-Centric Personalization (HyPer)Elisabeth Lex, Kevin Innerebner, Marko Tkalcic, Dominik Kowald, Markus Schedl. 336-338 [doi]
• Building Human-AI Reliance Through Cognitive Engagement and Exploratory AI AssistanceMuhammad Raees 0002, Vassilis-Javed Khan, Konstantinos Papangelis. 339-342 [doi]
• Differentiable Fuzzy Neural Networks for Recommender SystemsStephan Bartl, Kevin Innerebner, Elisabeth Lex. 343-348 [doi]
• Hybrid Personalization Using Declarative and Procedural Memory Modules of the Cognitive Architecture ACT-RKevin Innerebner, Dominik Kowald, Markus Schedl, Elisabeth Lex. 349-352 [doi]
• MoRTELaban: a Neurosymbolic Framework for Motion Representation and Analysis based on Labanotation and Laban Movement AnalysisRoberto Perez-Martinez, Alberto Casas-Ortiz, Olga C. Santos. 353-359 [doi]
• Procedural Memory Is Not All You Need: Bridging Cognitive Gaps in LLM-Based AgentsSchaun Wheeler, Olivier Jeunen. 360-364 [doi]
• The Impact of Confidence Ratings on User Trust in Large Language ModelsLifei Wang, Natalie Friedman, Chengchao Zhu, Zeshu Zhu, S. Joy Mountford. 365-370 [doi]
• The Potential of AutoML for Recommender SystemsTobias Vente, Lukas Wegmeth, Joeran Beel. 371-378 [doi]
• User Orientations and Stage-Specific Behaviors in E-commerce Exploratory Search: A Formative StudyEunhye Kim, Kiroong Choe, Guangjing Yan, Mingyu Kang. 379-384 [doi]
• LLM4Good: The 1st Workshop on Sustainable and Trustworthy Large Language Models for PersonalizationThomas Elmar Kolb, Ashmi Banerjee, Ahmadou Wagne, Julia Neidhardt, Yashar Deldjoo. 385-387 [doi]
• Enhancing Mathematical Reasoning in GPT-J Through Topic-Aware Prompt EngineeringLev Sukherman, Yetunde Folajimi. 388-392 [doi]
• Exploring Responsible Use of Generative AI in Disaster Resilience for Indigenous CommunitiesTaranum Bano, Chun-Hua Tsai, Srishti Gupta 0002, Yu-Che Chen, Edouardo Zendejas, Sarah Krafka. 393-397 [doi]
• From Feedback to Formative Guidance: Leveraging LLMs for Personalized Support in Programming ProjectsFatemeh Ghoochani, Jonas Scharfenberger, Burkhardt Funk, Raoul Doublan, Mayur Jakharabhai Odedra, Bennet Etsiwah. 398-403 [doi]
• Towards Automated Penetration Testing: Introducing LLM Benchmark, Analysis, and ImprovementsIsamu Isozaki, Manil Shrestha, Rick Console, Edward Kim 0006. 404-419 [doi]
• Towards the Embodied Conversational Interview Agentic Service ELIAS: Development and Evaluation of a First PrototypeTobias Budig, Marcia Nißen, Tobias Kowatsch. 420-424 [doi]
• "Which vocational training program is best for me?" - Design of a recommender system for school students using large language modelsAlexander Piazza, Sigurd Schacht, Michael Herzog. 425-428 [doi]
• The 16th International Workshop on Personalized Access to Cultural Heritage (PATCH 2025)Tsvi Kuflik, Alan J. Wecker, Noemi Mauro, Liliana Ardissono. 429-431 [doi]
• Exploring the Potential of Multimodal Large Language Models for Question Answering on ArtworksAlessio Ferrato, Carla Limongelli, Fabio Gasparetti, Giuseppe Sansonetti, Alessandro Micarelli. 432-436 [doi]
• Knowledge Graph-based User Models and Personalized Access for Cultural HeritageStefano Ferilli. 437-441 [doi]
• My Heritage Companion: An AI-Driven Mobile Experience for Visual StorytellingDr. Eiman Tamah Al-Shammari. 442-448 [doi]
• Recommending Paintings in Web Art Gallery with Adjustable Popularity and DiversityRully Agus Hendrawan, Peter Brusilovsky, Bereket Abera Yilma, Luis A. Leiva. 449-458 [doi]
• Towards Cultural Preservation of Traditional Motion Knowledge through Automated Annotations with MoRTELabanRoberto Perez-Martinez, Alberto Casas-Ortiz, Olga C. Santos. 459-463 [doi]
• User Models for Connected Personalized Avatars for Cultural Heritage ExperiencesAlan Jay Wecker, Antonio Origlia, Tsvi Kuflik. 464-466 [doi]
• WeBIUM 2025: 2nd Workshop on Wearable Devices and Brain-Computer Interfaces for User ModellingDomenico Lofù, Paolo Sorino, Tommaso Colafiglio, Angela Lombardi, Tommaso Di Noia, Fedelucio Narducci. 467-470 [doi]
• Advanced prompt engineering techniques for generative sound synthesis modelsMariagrazia De Leo, Giuseppe Salatino, Fabrizio Festa. 471-475 [doi]
• Emotion Recognition Using Text Embedding Models: Wearable and Wireless EEG Without Fixed EEG Channel ConfigurationsQuoc Toan Nguyen, Huiru Zheng, Tahia Tazin, Linh Le, Tuan L. Vo, Nhu-Tri Tran, David Williams-King, Benjamin Tag. 476-488 [doi]
• Neural Musical Instruments through Brain-Computer Interface and BiofeedbackTommaso Colafiglio, Domenico Lofù, Paolo Sorino, Angela Lombardi, Fedelucio Narducci, Tommaso Di Noia. 489-494 [doi]
• On the Causality between Cognitive Stress and Physiological Stress: The Stroop Test as a Case StudyAbdelmounaam Rezgui. 495-502 [doi]
• Sonify Collective Human Intelligence: A Biometric Data Approach to Real-time Sound Design in HCIDario Mattia, Fabrizio Festa. 503-508 [doi]
• User Modeling Meets Research Integrity: Challenges in Translating AI-powered Rehabilitation Systems into Regulated Clinical Practice: User Modeling Meets Research IntegrityIlaria Bortone, Feliciana Catino, Giuseppe Colacicco, Rodolfo Sardone, Giuseppe Campanile. 509-513 [doi]