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ORCID33rd UMAP 2025: New York City, NY, USA - Adjunct Publication
- Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, UMAP Adjunct 2025, New York City, NY, USA, June 16-19, 2025. ACM 2025, ISBN 979-8-4007-1399-6
Tutorials
- Robin Burke, Michael D. Ekstrand:
Conducting Recommender Systems User Studies Using POPROX. 1-2 - Bart P. Knijnenburg:
Conducting User Experiments with Personalized Systems. 3-4 - Erasmo Purificato, Ludovico Boratto, João Vinagre:
Data Access under the EU Digital Services Act and its Impact on User Modelling Research. 5-7 - Ernesto William De Luca, Julian Marvin Jörs, Marko Tkalcic:
Designing Intelligent User Interfaces for Well-Being (Tutorial). 8-9 - Allegra De Filippo, Ludovico Boratto, Giuseppe Spillo:
Human-Centered and Sustainable Recommender Systems. 10-12
Late-Breaking Results and Demo Papers
- Bernhard Steindl, Thomas Elmar Kolb, Julia Neidhardt:
Beyond Demographics: Evaluating News Recommender Systems Fairness Through Behavioural Communities. 13-17 - Worm Alexanne, Florian Marchal, Sylvain Castagnos:
BIRD: A Museum Open Dataset Combining Behavior Patterns and Identity Types to Better Model Visitors' Experience. 18-22 - Esma Karahodza, Amra Delic, Francesco Ricci:
Conceptual Framework for Group Dynamics Modeling from Group Chat Interactions. 23-27 - Dario Di Palma, Giovanni Maria Biancofiore, Vito Walter Anelli, Fedelucio Narducci, Tommaso Di Noia:
Content-Based or Collaborative? Insights from Inter-List Similarity Analysis of ChatGPT Recommendations. 28-33 - Paolo Masciullo, Andrea Pazienza, Claudio Pomo, Fedelucio Narducci, Tommaso Di Noia:
Enhancing News Recommendation Systems Using Multitask Learning. 34-38 - Gaetano Dibenedetto, Elio Musacchio, Marco Polignano, Pasquale Lops:
Fine-Tuning Large Multimodal Models for Fitness Action Quality Assessment. 39-44 - Simone Prete, Giovanni Maria Biancofiore, Fedelucio Narducci, Eugenio Di Sciascio, Tommaso Di Noia:
From Overall Sentiment to Aspect-Level Insights: A Pretraining Strategy for Unsupervised Aspect-based Sentiment Analysis. 45-50 - Qiming Sun, I-Han Hsiao:
Human-AI Collaborated Ideation for Learning Reduce & Reuse Waste. 51-55 - Sebastian Lubos, Alexander Felfernig, Damian Garber, Viet-Man Le, Manuel Henrich, Reinhard Willfort, Ivan Dukic:
InteractiveReq: Enhancing Software Requirement Specification with Critiquing-based Recommender Systems. 56-61 - Mubina Kamberovic, Amra Delic, Senka Krivic:
Investigating AI in Programming Education: Self-Reported AI Usage, Individual Traits, and Learning Outcomes. 62-66 - Matej Scerba, Ladislav Peska:
It's Time to Let Go: Stopping Criteria Recommendations in Content-rich Domains. 67-71 - Francesco Manco, Domenico Roberto, Marco Polignano, Giovanni Semeraro:
JARVIS: Adaptive Dual-Hemisphere Architectures For Personalized Large Agentic Models. 72-76 - Sushmita Khan, Mehtab Iqbal, Laila Shafiee, Aminata Ndiaye Mbodj, Bart P. Knijnenburg:
Personalized Preference Profiles for Preference Discovery. 77-81 - Carolin Kaiser, Jakob Kaiser, Vladimir Manewitsch, Lea Rau, René Schallner:
Simulating Human Opinions with Large Language Models: Opportunities and Challenges for Personalized Survey Data Modeling. 82-86 - Styliani Kleanthous, Anthi Ioannou, Filippos Papandreou:
Social Influence and the Perceived Fairness of Algorithmic Decisions: An Exploratory Study. 87-92 - Arsen Matej Golubovikj, Bruce Ferwerda, Alan Said, Marko Tkalcic:
Soundtracks of Our Lives: How Age Influences Musical Preferences. 93-97 - Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio:
Stealthy LLM-Driven Data Poisoning Attacks Against Embedding-Based Retrieval-Augmented Recommender Systems. 98-102 - Juan Ahmad, Jonas Hellgren, Alan Said:
Tell Me the Good Stuff: User Preferences in Movie Recommendation Explanations. 103-108 - Kayhan Latifzadeh, Luis A. Leiva:
Thalamus: A User Simulation Toolkit for Prototyping Multimodal Sensing Studies. 109-113 - Liuru Nan, Panote Siriaraya, Wan-Jou She, Noriaki Kuwahara:
The Kimono Era Has Long Passed: Generative AI-Assisted Reminiscence Therapy for Individuals with Late-Stage Dementia. 114-119 - Michelle Brachman, Arielle Goldberg, Andrew Anderson, Stephanie Houde, Michael J. Muller, Justin D. Weisz:
Towards Personalized and Contextualized Code Explanations. 120-125 - Sofie Goethals, Johannes Luther, Sandra C. Matz:
Words reveal wants: How well can simple LLM-based AI agents replicate people's choices based on their social media posts. 126-131
6th Workshop on Adapted intEraction with SociAl Robots (cAESAR)
- Francesca Cocchella, Alberto Lillo, Giuseppe Palestra, Luca Raggioli, Giulia Scorza Azzarà, Cristina Gena:
6th Workshop on Adapted intEraction with SociAl Robots (cAESAR). 132-135 - Luca Raggioli, Alessandra Rossi, Silvia Rossi:
Computational Models of Cognitive and Affective Theory of Mind. 136-143 - Alessio Ferrato, Cristina Gena, Carla Limongelli, Giuseppe Sansonetti:
Multimodal LLM Question Generation for Children's Art Engagement via Museum Social Robots. 144-150 - Berardina Nadja De Carolis, Corrado Loglisci, Maria Grazia Miccoli, Giuseppe Palestra, Sergio Violante:
Quantum-Enhanced Social Robotics: The QUADRI Project. 151-155 - Angelo Paloka, Alberto Lillo, Fabiana Vernero, Filipa Correia, Valentina Nisi, Laura Lossi, Cristina Gena:
Robots adapting to dogs: a new frontier? 156-160 - Massimo Donini, Michael Oliverio, Pier Felice Balestrucci, Luca Anselma, Cristina Gena, Alessandro Mazzei, Matteo Nazzario, Irene Borgini:
Towards a Structured Multimodal Speech-Image Coordination. 161-168 - Alberto Lillo, Claudio Mattutino, Cristina Gena:
vNAO: Virtual NAO as a Cognitive Companion for the Elderly. 169-173
7th Workshop on Explainable User Models and Personalised Systems (ExUM 2025)
- Cataldo Musto, Marco Polignano, Amon Rapp, Giovanni Semeraro, Jürgen Ziegler:
7th Workshop on Explainable User Models and Personalised Systems (ExUM 2025). 174-176 - Miguel 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, Raul Fernandez-Matellan, David Martín Gómez:
Developing Human-Centered Intelligent Learning Systems: the application of CARAIX framework. 177-186 - Simone Prete, Giovanni Maria Biancofiore, Fedelucio Narducci, Eugenio Di Sciascio, Tommaso Di Noia:
Explainable Sentiment Analysis through Counterfactual Reasoning. 187-191 - Md. Ashaduzzaman, Chun-Hua Tsai:
Leveraging Generative AI to Improve Comprehensibility in Social Recommender Systems. 192-201 - Lilian Marey, Charlotte Laclau, Bruno Sguerra, Tiphaine Viard, Manuel Moussallam:
Modeling Musical Genre Trajectories through Pathlet Learning. 202-210 - Cataldo Musto, Amon Rapp, Ludovico Boratto:
PHaSE Project - Promoting Healthy and Sustainable Eating through Interactive and Explainable AI Methods. 211-213 - Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Bamshad Mobasher:
"They Only Offer the Illusion of Choice": Exploring User Perceptions of Control and Agency on YouTube. 214-218 - Milad Sabouri, Masoud Mansoury, Kun Lin, Bamshad Mobasher:
Towards Explainable Temporal User Profiling with LLMs. 219-227 - Jasmina Gajcin, Jovan Jeromela, Ivana Dusparic:
Towards Personalised and User-Friendly Counterfactual Sequences for Failure Correction. 228-233 - Muhammad Raees, Vassilis-Javed Khan, Konstantinos Papangelis:
Towards Understanding Persuasive and Personalized Engagement for Human-AI Reliance. 234-236 - Sofie Goethals, João Sedoc, Foster J. Provost:
What If the Prompt Were Different? Counterfactual Explanations for the Characteristics of Generative Outputs. 237-242
7th UMAP Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2025)
- Bamshad Mobasher, Styliani Kleanthous, Robin Burke, Avital Shulner-Tal, Tsvi Kuflik:
7th UMAP Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2025). 243-244 - Shai Krigman, Lihi Dery, Tal Grinshpoun:
A Fair Share: Fair Allocation of Satellite Observation Windows According to User Preferences in a Distributed Setting. 245-248 - Gargi Nandy, Srishti Gupta, Farhad Mohammad Afzali, Eric Peeples, Betsy Pilon, Chun-Hua Tsai:
Balancing Health Information-Seeking through Retrieval-Augmented Generation-Based LLM Chatbot. 249-254 - Nazanin Jafari, James Allan:
Reducing the Emotional Distress of Content Moderators through LLM-based Target Substitution in Implicit and Explicit Hate-Speech. 255-264 - Chau Tong:
Searching for BLM: Google Search Results During the 2020 Black Lives Matter Protests. 265-273 - Anas Buhayh, Elizabeth McKinnie, Clement Canel, Robin Burke:
Simulating the Algorithm Store: Multistakeholder Impacts of Recommender Choice. 274-279 - Samira Vaez Barenji, Sushobhan Parajuli, Michael D. Ekstrand:
User and Recommender Behavior Over Time: Contextualizing Activity Effectiveness Diversity and Fairness in Book Recommendation. 280-287 - Charlotte Park, Kate Donahue, Manish Raghavan:
When to Ask a Question: Understanding Communication Strategies in Generative AI Tools. 288-299 - Avital Shulner-Tal, Julia Sheidin:
XAI4RE - Using Explainable AI for Responsible and Ethical AI. 300-307
4th Workshop on Group Modeling, Adaptation and Personalization (GMAP 2025)
- Francesco Barile, Amra Delic, Ladislav Peska, Isabella Saccardi, Cedric Waterschoot:
GMAP 2025: 4th Workshop on Group Modeling, Adaptation and Personalization. 308-310 - Ladislav Peska, Amra Delic, Francesco Barile, Patrik Dokoupil:
Bridging the Rift: A Critical Perspective on the Divergence in Group Recommender Systems Research. 311-316 - Laura Stojko:
Group Modeling Cultural Dimension Values for Intercultural Personalization. 317-321 - Cedric Waterschoot, Nava Tintarev, Francesco Barile:
The Pitfalls of Growing Group Complexity: LLMs and Social Choice-Based Aggregation for Group Recommendations. 322-330 - Sebastian Lubos, Alexander Felfernig, Damian Garber, Viet-Man Le, Manuel Henrich, Reinhard Willfort, Jeremias Fuchs:
Towards Group Decision Support with LLM-based Meeting Analysis. 331-335
Hybrid AI for Human-Centric Personalization (HyPer)
- Elisabeth Lex, Kevin Innerebner, Marko Tkalcic, Dominik Kowald, Markus Schedl:
Hybrid AI for Human-Centric Personalization (HyPer). 336-338 - Muhammad Raees, Vassilis-Javed Khan, Konstantinos Papangelis:
Building Human-AI Reliance Through Cognitive Engagement and Exploratory AI Assistance. 339-342 - Stephan Bartl, Kevin Innerebner, Elisabeth Lex:
Differentiable Fuzzy Neural Networks for Recommender Systems. 343-348 - Kevin Innerebner, Dominik Kowald, Markus Schedl, Elisabeth Lex:
Hybrid Personalization Using Declarative and Procedural Memory Modules of the Cognitive Architecture ACT-R. 349-352 - Roberto Perez-Martinez, Alberto Casas-Ortiz, Olga C. Santos:
MoRTELaban: a Neurosymbolic Framework for Motion Representation and Analysis based on Labanotation and Laban Movement Analysis. 353-359 - Schaun Wheeler, Olivier Jeunen:
Procedural Memory Is Not All You Need: Bridging Cognitive Gaps in LLM-Based Agents. 360-364 - Lifei Wang, Natalie Friedman, Chengchao Zhu, Zeshu Zhu, S. Joy Mountford:
The Impact of Confidence Ratings on User Trust in Large Language Models. 365-370 - Tobias Vente, Lukas Wegmeth, Joeran Beel:
The Potential of AutoML for Recommender Systems. 371-378 - Eunhye Kim, Kiroong Choe, Guangjing Yan, Mingyu Kang:
User Orientations and Stage-Specific Behaviors in E-commerce Exploratory Search: A Formative Study. 379-384
The 1st Workshop on Sustainable and Trustworthy Large Language Models for Personalization (LLM4Good)
- Thomas Elmar Kolb, Ashmi Banerjee, Ahmadou Wagne, Julia Neidhardt, Yashar Deldjoo:
LLM4Good: The 1st Workshop on Sustainable and Trustworthy Large Language Models for Personalization. 385-387 - Lev Sukherman, Yetunde Folajimi:
Enhancing Mathematical Reasoning in GPT-J Through Topic-Aware Prompt Engineering. 388-392 - Taranum Bano, Chun-Hua Tsai, Srishti Gupta, Yu-Che Chen, Edouardo Zendejas, Sarah Krafka:
Exploring Responsible Use of Generative AI in Disaster Resilience for Indigenous Communities. 393-397 - Fatemeh Ghoochani, Jonas Scharfenberger, Burkhardt Funk, Raoul Doublan, Mayur Jakharabhai Odedra, Bennet Etsiwah:
From Feedback to Formative Guidance: Leveraging LLMs for Personalized Support in Programming Projects. 398-403 - Isamu Isozaki, Manil Shrestha, Rick Console, Edward Kim:
Towards Automated Penetration Testing: Introducing LLM Benchmark, Analysis, and Improvements. 404-419 - Tobias Budig, Marcia Nißen, Tobias Kowatsch:
Towards the Embodied Conversational Interview Agentic Service ELIAS: Development and Evaluation of a First Prototype. 420-424 - Alexander Piazza, Sigurd Schacht, Michael Herzog:
"Which vocational training program is best for me?" - Design of a recommender system for school students using large language models. 425-428
The 16th International Workshop on Personalized Access to Cultural Heritage (PATCH 2025)
- Tsvi Kuflik, Alan J. Wecker, Noemi Mauro, Liliana Ardissono:
The 16th International Workshop on Personalized Access to Cultural Heritage (PATCH 2025). 429-431 - Alessio Ferrato, Carla Limongelli, Fabio Gasparetti, Giuseppe Sansonetti, Alessandro Micarelli:
Exploring the Potential of Multimodal Large Language Models for Question Answering on Artworks. 432-436 - Stefano Ferilli:
Knowledge Graph-based User Models and Personalized Access for Cultural Heritage. 437-441 - Dr. Eiman Tamah Al-Shammari:
My Heritage Companion: An AI-Driven Mobile Experience for Visual Storytelling. 442-448 - Rully Agus Hendrawan, Peter Brusilovsky, Bereket Abera Yilma, Luis A. Leiva:
Recommending Paintings in Web Art Gallery with Adjustable Popularity and Diversity. 449-458 - Roberto Perez-Martinez, Alberto Casas-Ortiz, Olga C. Santos:
Towards Cultural Preservation of Traditional Motion Knowledge through Automated Annotations with MoRTELaban. 459-463 - Alan Jay Wecker, Antonio Origlia, Tsvi Kuflik:
User Models for Connected Personalized Avatars for Cultural Heritage Experiences. 464-466
2nd Workshop on Wearable Devices and Brain-Computer Interfaces for User Modelling (WeBIUM 2025)
- Domenico Lofù, Paolo Sorino, Tommaso Colafiglio, Angela Lombardi, Tommaso Di Noia, Fedelucio Narducci:
WeBIUM 2025: 2nd Workshop on Wearable Devices and Brain-Computer Interfaces for User Modelling. 467-470 - Mariagrazia De Leo, Giuseppe Salatino, Fabrizio Festa:
Advanced prompt engineering techniques for generative sound synthesis models. 471-475 - Quoc-Toan Nguyen, Huiru Zheng, Tahia Tazin, Linh Le, Tuan L. Vo, Nhu-Tri Tran, David Williams-King, Benjamin Tag:
Emotion Recognition Using Text Embedding Models: Wearable and Wireless EEG Without Fixed EEG Channel Configurations. 476-488 - Tommaso Colafiglio, Domenico Lofù, Paolo Sorino, Angela Lombardi, Fedelucio Narducci, Tommaso Di Noia:
Neural Musical Instruments through Brain-Computer Interface and Biofeedback. 489-494 - Abdelmounaam Rezgui:
On the Causality between Cognitive Stress and Physiological Stress: The Stroop Test as a Case Study. 495-502 - Dario Mattia, Fabrizio Festa:
Sonify Collective Human Intelligence: A Biometric Data Approach to Real-time Sound Design in HCI. 503-508 - Ilaria Bortone, Feliciana Catino, Giuseppe Colacicco, Rodolfo Sardone, Giuseppe Campanile:
User Modeling Meets Research Integrity: Challenges in Translating AI-powered Rehabilitation Systems into Regulated Clinical Practice: User Modeling Meets Research Integrity. 509-513
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