Accepted Papers

Author(s) Title Track
Rafaella Sampaio de Alencar, Michael Yudelson, Peter Brusilovsky and William Evans Using Elo to Operationalize Modeling of Aphasia Patients’ Word-Recall Practice During Recovery Full Papers
Diletta Micol Tobia, Hrishita Chakrabarti, Maria Soledad Pera and Monica Landoni Using Anti-Personas to Model Children: How to Represent User-System Mismatches Full Papers
David Johnson Raising the Stakes: A Framework for Modeling the Influence of Stakes on Appropriate Reliance in Human-AI Decision-Making Short Papers
Giuseppe Spillo, Cataldo Musto, Francesco Musci, Marco de Gemmis and Giovanni Semeraro MMGCF: Multimodal Graph Collaborative Filtering for Recommendation with Graph Convolutional Networks Short Papers
Michael Müller, Amir Reza Mohammadi, Andreas Peintner, Beatriz Barroso Gstrein, Günther Specht and Eva Zangerle Can Third-Party Annotators Reliably Evaluate Conversational Recommender Systems? Short Papers
Wu Ziqing, Zhu Sun, Dongxia Wang, Lu Zhang, Jie Zhang and Yew Soon Ong MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation Full Papers
Tim Donkers and Jürgen Ziegler How Humans and LLMs Differ in Processing Uncertainty in Polarized Discourse Full Papers
Aurora Toma, Davide Lofrese and Giuseppe Palestra Personalized Human–Robot Interaction through Ontology-Based Knowledge Graphs and Large Language Models Full Papers
Anouk van Kasteren, Marloes Vredenborg, Christine Bauer and Judith Masthoff Modelling Preference Heterogeneity for Context-Aware Decision Support During Public Transport Disruptions Full Papers
Raciel Yera and Luis Martínez Behind the Re-Rank: Explaining Fairness in Top-N Recommendations Full Papers
Eveline Ingesson and Maria Riveiro Explanation Demand as a Trait, Not a State: Implications for User Modeling in Adaptive Systems Full Papers
Morita Tarvirdians, Senthil Chandrasegaran, Hayley Hung, Catholijn M. Jonker and Catharine Oertel Reflecti-Mate: A Conversational Agent for Adaptive Decision-Making Support Through System 1 and System 2 Thinking Full Papers
Marloes Vredenborg, Marit Bentvelzen, Christine Bauer and Judith Masthoff Does Tone Matter? Exploring Context-Aware Explanations in Route Recommendations Full Papers
Andrii Dzhoha, Alisa Mironenko, Evgeny Labzin, Vladimir Vlasov, Maarten Versteegh and Marjan Celikik Harnessing Query Context for Personalized User Intent-Aware Sequential Recommendation Short Papers
Alessio Ferrato, Giuseppe Sansonetti and Marko Tkalčič On the Role of Dwell Time for Implicitly Profiling Museum Visitors Short Papers
Miguel Portaz, Alberto Corbi and Olga C. Santos May the Force Be with You: Force-Aware and Explainable User Modeling for Personalized Psychomotor Support Short Papers
Moyan Zhou, Minzhu Zhao and Loren Terveen WikiCoach: Scaffolding Learning for Novices in Online Apprenticeship Communities Full Papers
Annie Landerberg, Kari Flatmo and Alan Said Trust as a Situated User State in Social LLM-Based Chatbots: A Longitudinal Study of Snapchat’s My AI Short Papers
Hatim Alsayahani, Simon Harper and Markel Vigo Balancing Guidance and Control: Nudging Users Toward Effective Dashboard Customisation Short Papers
Rongtao Zhang, Xin Zhu, Masoume Pourebadi Khotbehsara, Warren Dao, Erdem Bıyık and Heather Culbertson Vibrotactile Preference Learning: Uncertainty-Aware Preference Learning for Personalized Vibration Feedback Short Papers
Anas Buhayh, Elizabeth McKinnie, Clement Canel and Robin Burke Multistakeholder Impacts of Profile Portability in a Recommender Ecosystem Full Papers
Roberto Legaspi, Kazushi Ikeda, Akihiro Sasaki, Akihiro Miyamoto, Kae Nakajima, Nao Kobayashi and Yasushi Naruse Modeling the Sense of Agency as a Latent User State during Music Listening Full Papers
Jovan Jeromela, Matt Murtagh White, Jasmina Gajcin, Alok Debnath, Dipto Barman and Owen Conlan "As Long as It Does What I Want, I’d Be Happy to Trust It": Exploring User Perspectives on a Scrutable Assistant for Time Management Full Papers
Florian Atzenhofer-Baumgartner and Dominik Kowald What Do Humanities Scholars Need? A User Model for Recommendation in Digital Archives Short Papers
Sophia Egbert, Stefanie M. Störtebek and Juliane A. Lischka To Explain or Not to Explain? An Empirical Investigation into Users’ Information Needs in News Recommender Systems and Its Impact on User Engagement Full Papers
Patrik Dokoupil, Ludovico Boratto and Ladislav Peska CALISSTA: Calibrated Candidate Retrieval Using Sparse Autoencoders and Top-k Aggregation Short Papers
Alejandra Barbarelli, Olga C. Santos, Angeles Manjarrés, Miguel Portaz, Raúl Cabestrero, Pilar Quirós, Mar Hermosilla, Maribel Abril and Simon Pickin Participatory Elicitation of User Model Dimensions for Active Ageing: The EMERGE Methodology Short Papers
Tobias Jovall Wessel, Christoph Trattner and Alain Starke Increasing Editor Trust in News Personalization Systems with Fact-checked Large Language Models Full Papers
Jason Mina, Lorenzo Zangari, Alexandre Alahi, Davide Picca and Luigi Bagnato Evaluating Persona Consistency and Emotion Understanding in Small Language Models Short Papers
Robin Ungruh and Maria Soledad Pera This Is The World (Recommender Systems Made It For You): Capturing Risk Pathways for Children through a Pluralistic Multi-Risk Assessment of Recommenders Full Papers
Hrishita Chakrabarti, Diletta Micol Tobia, Garrett Allen, Monica Landoni and Maria Soledad Pera It is relevant, but is it useful?: A Reflection on Human-Centred Evaluation in Children Information Retrieval Short Papers
Xin Sun, Shu Wei, Ting Pan, Yajing Wang, Jos A. Bosch, Isao Echizen, Abdallah El Ali and Saku Sugawara Eyes Can’t Always Tell: Fusing Eye Tracking and User Priors for User Modeling under AI Advice Conditions Full Papers
Angelo Geninatti Cossatin, Maria Maistro and Noemi Mauro Investigating the Gap Between Offline Metrics and Perceived Fairness Short Papers
Yusra Suhail, Kushas Khadka, Borano Llana, Maedah Hosseinpour and Shaun Wallace Personalizing Font Size Normalization: Linguistic Background Shapes Which Font Attributes Matter Full Papers
Yufan Zhou, Yirui Huang, Zhao Wang and Yucheng Jin How Personal Characteristics Influence the Use of Multi-Agent Conversational Recommender Systems for Diverse Exploration Full Papers
Rafael Sereicikas, Pedro Pires, Gregório Azevedo and Tiago Almeida Learning Behaviorally Grounded Item Embeddings via Personalized Temporal Contexts Full Papers
Rodrigo Alves, Vojtěch Vančura, Pavel Kordík and Antoine Ledent Language Embeddings Meet Shallow Autoencoders Short Papers
Qurat Ul Ain, Mohamed Amine Chatti, Nasim Yazdian Varjani, Farah Kamal and Astrid Rosenthal-von der Pütten Visual or Textual: Effects of Explanation Format and Personal Characteristics on the Perception of Explanations in an Educational Recommender System Full Papers
Eliya Naomi Aharon, Meytal Grimland, Yossi Levi Belz, Kobi Gal, Avi Segal, Loona Ben Dayan, Inbar Shenfeld and Joy Benatov SAGE: A Strategy-Aware Graph-Enhanced Generation Framework For Online Counseling Short Papers
Stavros Davidopoulos, Dimitris Sacharidis and Panagiotis Symeonidis Differentially Private and Fair Algorithmic Hiring for Recruiters Short Papers
Yan-Martin Tamm, Gregor Meehan, Vojtěch Nekl, Vojtěch Vančura, Rodrigo Alves, Johan Pauwels and Anna Aljanaki Leveraging Artist Catalogs for Cold-Start Music Recommendation Full Papers
Eleonora Balloccu, Ludovico Boratto, Angelo Geninatti Cossatin, Mirko Marras, Noemi Mauro and Giacomo Medda Evaluating the Role of Context Representations in the Behavioral Fidelity of LLM-based Personas for Food Preferences Short Papers
Tobias Wagner, Enrico Rukzio and Teresa Hirzle What Do Your Eyes Reveal About Learning from Videos? A Dataset Demonstrating the Link Between Gaze Measures, Engagement, and Learning Full Papers
Elena Minucci, Simone Stumpf and Martin Lages "It's a Bit of Me": Predicting Persuasion from Writing Style and Persuader-Receiver Similarity Full Papers
Brett Binst, Ulysse Maes, Martijn Willemsen and Annelien Smets Let Me Introduce You: Stimulating Taste-Broadening Serendipity through Song Introductions Full Papers
Bereket Yilma, Saravanakumar Duraisamy and Luis Leiva The AI-Therapist Duo in Virtual Reality: A Triadic Design for Immersive Exposure Digital Art Therapy Full Papers
Ibrahim Al Hazwani and Nava Tintarev Exploring the Latitude of Acceptance over Several Recommendation Turns in a Game Settings Short Papers
Aditya Joshi and Sergey Sosnovsky Towards Student Profiles for Personalized Social Comparison in Learning Interfaces Full Papers
Ovide Kuichua, Michel Desmarais, Arman Bakhtiari and Chahe Nerguizian Instructor-Centered Per-Question Adaptation for Short Answer Grading Using LLM Scores and Informative Sampling Full Papers
Robin Verachtert, Kim Falk and Christine Bauer Enhancing Diversity in News Recommendations Increases Click-Through Rates: Insights from an Online Experiment and User Study Full Papers
Filipe Altoe, Sergio M. Pinto and H. Sofia Pinto Personalized Misinformation Interventions: User-Adaptive Fact-Check Explanations Through Affective Modalities Full Papers
Branislav Pecher, Adrian Bindas, Jan Jakubcik, Matus Tuna, Matus Tibensky, Simon Liska, Peter Sakalik, Andrej Suty, Matej Mosnar, Filip Hossner and Ivan Srba Algorithmic Audit of Personalisation Drift in Polarising Topics on TikTok Full Papers
Mark Mensah, Evans Kwasi, Mohammed Abdulmawjood and Kiemute Oyibo User Modelling and Adaptation in Immersive Preventive Health Interventions: A Systematic Review and Evidence Map Full Papers
David Guo, Minqi Sun, Yilun Jiang, Jiazhou Liang and Scott Sanner VOGUE: A Multimodal Dataset for Conversational Recommendation in Fashion Full Papers
Yelyzaveta Lysova, Christoph Trattner and Alain Dominique Starke Using AI as a Chef: Users Overlook Nutritional Flaws in LLM-Generated Recipes Full Papers
Ruixuan Sun, Junyuan Wang, Sanjali Roy and Joseph Konstan Productively Wrong: How Critiquing AI Profiles Enhances Interest Awareness and Reflection in Movie Recommender Short Papers
Patryk Bartkowiak and Michal Podstawski EdgeWisePersona: A Dataset for On-Device User Profiling from Natural Language Interactions Short Papers
Timipado Imomotebegha When Personalisation Becomes Exploitation: An Integrated Evaluation Methodology for Personality-Adaptive Relationship Forming AI. Doctoral Symposium
Hayriye Dönmez User-Conditioned Personalized Side-Information in Sequential Recommendation Doctoral Symposium
Lu Wang From Understanding to Anchoring: Informal Caregivers' Mental Models of Generative Artificial Intelligence-based Conversational Agents for Problem-Solving Doctoral Symposium
Aleid Oonk Supporting Preadolescents with Developmental Language Disorders through Co-Designed Adaptive Assistive Technology Doctoral Symposium
Esma Karahodza Towards An Agentic Conversational Approach to Group Recommender Systems Doctoral Symposium
Aurora Toma Modeling Relational Dynamics into Cognitive Architectures for Socially Assistive Robots Doctoral Symposium
Marlene Holzleitner Studying Longitudinal Effects of Recommender Systems: A Multi-Method Approach Doctoral Symposium
Marie-Sophie Simon AI for active learners: Applying insights from the learning sciences and human-centered AI to educational contexts Doctoral Symposium
Simone Calbi Which Individual Differences Predict Success at an LLM-integrated Search Task?* Doctoral Symposium
Valdy Wiratama Towards a Stakeholder-Centered Auditing Framework for Assessing Fairness in (Music) Recommender Systems Doctoral Symposium
Ahmed Nour Abdesselam Designing Operator-Centred Recommender Systems for Knowledge Retention in Industrial Manufacturing Doctoral Symposium
Ahmadou Wagne Investigating Preference Elicitation Strategies in Conversational Recommender Systems Doctoral Symposium
Juliano Soares Causal Reasoning Augmented Agents for Adaptive and Explainable Knowledge Retrieval Doctoral Symposium
Han Jun Yoon, Janith Weerasinghe, Himanshu Jahagirdar, Meng Ling, Suja Thomas, Anuradha Uduwage and Sam Han Uncertainty-Aware Reinforcement Learning for Conversion-Optimized Content Gating Industry Papers
Manisha R, Pradeep M and Satyen Abrol Cross-Domain Cold-Start Personalization via LLM-Synthesized Structured User Profiles Industry Papers
Dan Turkel, Dev Goyal, Frankie Lu, Sihan Chen, Eyan Yeung, Richie Mendelsohn and Behrooz Afghahi Multi-Objective Candidate Generation for Reciprocal Recommendation at Hinge Industry Papers
Dominik Freunberger, Sebastian Agerhåll, Jesper Hedlund, Jorge Letosa and Ana Sílvia C. Silva Multi-Armed Bandits for Recommendation Strategy Selection in Front Page Personalisation Industry Papers
Olivier Jeunen, Eleanor Hanna and Schaun Wheeler Sustained Impact of Agentic Personalisation in Marketing: A Longitudinal Case Study Industry Papers
Meng Ling, Himanshu Jahagirdar, Janith Weerasinghe, Hanjun Yoon, Suja Thomas, Anuradha Uduwage and Sam Han LLM-Based Content Tagging at The Washington Post Industry Papers
Andrii Dzhoha and Egor Malykh Toward Balanced Personalization: Bridging Short-Term Intent and Long-Term Preference Industry Papers
Janith Weerasinghe, Han Jun Yoon, Meng Ling, Himanshu Jahagirdar, Suja Thomas, Anuradha Uduwage and Sam Han A Case Study of Offline Reinforcement Learning for Paywall Decisioning Industry Papers
Faisal Shehzad and Dietmar Jannach Reproducibility of LLM-based Recommender Systems Research: Worrying Observations from an Initial Analysis LBR
Maria João Lavoura, Robert Jungnickel and João Vinagre Measuring the stability and plasticity of recommender systems LBR
Robin Ungruh, Alejandro Bellogin, Dominik Kowald and Maria Soledad Pera When Preference Is Not Enough: Why Recommender Systems Require Human-Aware Evaluation for Children LBR
Cedric Waterschoot, Nava Tintarev and Francesco Barile Who is the Fairest of Them All? Using Large Language Models for Fairness Assessments LBR
Kathleen W. Guan, Sarthak Giri, Mohammed Al Owayyed, Bernard J. Jansen, Gayane Sedrakyan, Joao Fernando Ferreira Goncalves, Mark de Reuver and Caroline A. Figueroa Leveraging Participatory Personas for Reflexive Co-design of Personalization in Large Language Models for Youth Well-Being LBR
Kaidong Feng, Zhu Sun, Roy Ka-Wei Lee, Xun Jiang, Yin-Leng Theng and Yi Ding Personalization Matters: Benchmarking ML, DL and LLMs for Mental Health Forecasting from Smartphone Sensing Data LBR
Sofie Kastelli, Napsugár Takács, Marko Tkalčič and Bruce Ferwerda Evaluating Vibrotactile Feedback: Usability and User Experience in Glove vs. Non-Glove Conditions LBR
Bianca Maria Deconcini, Elisa Sorri and Federica Cena "Voglia di": Supporting Food Choices Through Transient Cravings LBR
Irina Nalis, Nils Klüwer and Julia Neidhardt From Labels to Context: Context-Sensitive User Modeling of Affect with Large Language Models LBR
Diogo Carvalho, Senka Krivic, Timothy Tang and Salman Ahmad User-State Verification in Conversational Commerce: Detecting Journey Hallucinations via Trace Invariants LBR
Peter Müllner, Dominik Kowald, Markus Schedl and Elisabeth Lex Meta-Learning and Targeted Differential Privacy to Improve the Accuracy-Privacy Trade-off in Recommendations LBR
Ashmi Banerjee, Adithi Satish, Wolfgang Wörndl and Yashar Deldjoo Multi-Dimensional Evaluation of Sustainable City Trips with LLM-as-a-Judge and Human-in-the-Loop LBR
Rodrigo Alves and Antoine Ledent The Stars Align: Modeling User Rating Calibration with Sparse Semantic Review Features LBR
Andrew Thompson and Brenna Argall A Zero-Force Optical Sensor Interface and Fitting Protocol for Customized Assistive Technology Control LBR
Tom Bovie, Bhupender Kumar Saini, Chandan Kumar and Mihai Bâce DUPLet: Dynamic User Modeling for Personalized Cover Letter Generation LBR
Caroline Frössling, Uroš Sergaš, Marko Tkalčič and Bruce Ferwerda Game On for News: Stance-Aware Gamification in a News Aggregator to Promote Engagement with Diverse Viewpoints LBR
Janine Riemann, Jasmin Alt, Uroš Sergaš, Marko Tkalčič and Bruce Ferwerda Progress Feedback for Countering Selective Exposure: When Visualization Can Backfire LBR
Payam Pourashraf, Masoud Mansoury and Bamshad Mobasher PerSpect: Perspective-aware Contrastive Learning for Hybrid News Recommendation LBR
Liam Hebert, Lucas Kopp and Robin Cohen Community Norms in the Spotlight: Enabling Task-Agnostic Unsupervised Pre-Training to Benefit Online Social Media LBR
Roman Chervinskyy and Antonela Tommasel Identifying Misinformation Spreaders through Multi-Source User Modeling LBR
Mirna Saad, Elena Battipede, Luca Botturi, Martin Hlosta, Omran Ayoub, Monica Landoni and Silvia Giordano Student Web Search Behaviour: A Comparative Study of AI-Assisted and Traditional Search Styles and Performance LBR
Ondřej Kříž, Patrik Dokoupil and Ladislav Peska Match-it: Group Recommendations in the Age of Mobile Applications Demo
Manel Slokom and Alejandro Bellogin Beyond Centralization: User-Controlled Federated Recommendations in Practice Demo
Maxwell Szymanski, Robin De Croon, Marie Meuris, Ann Swillen and Katrien Verbert GeneticPuzzle: a Mobile Psychoeducational Tool to Support Families Affected by 22q11.2 Deletion Syndrome Demo
Ulysse Maes, Cedric Waterschoot, Francesco Barile and Nava Tintarev FIRE: A Modular Framework for Prototyping and Evaluating Interactive Recommender Explanations Demo
Yong Zheng and Jian Zhang. OmniSim: A LLM-Powered Open-Source Simulator for Generating Personalized and Adaptive Conversational Recommendation Dialogues Demo
Yizhe Zhang, Robin De Croon, Maxwell Szymanski and Katrien Verbert. CAPTURE: A Visual–Conversational Dashboard for Supporting User-Driven Explanations in a Job–Candidate Matching Algorithm Demo
Chandan Kumar, Christian Knecht, Jeremias Lange, Bhupender Kumar Saini and Matthias Peissner Virtual User Lab: An Interactive System for Simulating User Perspectives in Ideation and Evaluation Demo
Wolfgang Wörndl and Cem Nasit Sarica DestiRec: User Interaction with a Travel Destination Recommender System Demo
Liliana Ardissono, Fabio Ferrero, Angelo Geninatti Cossatin, Claudio Mattutino and Noemi Mauro A Context-Aware Cultural Heritage Guide Powered by LLMs Demo
Roman Chervinskyy and Antonela Tommasel From emotional hooks to conspiratorial claims: A teen-focused game for reflecting on misinformation interactions Demo
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