| 2024 | Avoiding Decision Fatigue with AI-Assisted Decision-Making. Jessica Maria Echterhoff, Aditya Melkote, Sujen Kancherla, Julian J. McAuley |
| 2024 | Beyond Trade-offs: Unveiling Fairness-Constrained Diversity in News Recommender Systems. Célina Treuillier, Sylvain Castagnos, Özlem Özgöbek, Armelle Brun |
| 2024 | Bringing Equity to Coarse and Fine-Grained Provider Groups in Recommender Systems. Elizabeth Gómez, David Contreras, Maria Salamó, Ludovico Boratto |
| 2024 | Challenge variance: Exploiting format differences for personalized learner models. Charles Lang, Korinn S. Ostrow |
| 2024 | ChatGPT as a Conversational Recommender System: A User-Centric Analysis. Ahtsham Manzoor, Samuel C. Ziegler, Klaus Maria Pirker Garcia, Dietmar Jannach |
| 2024 | Creating an Intelligent Social Media Campaign Decision-Support Method. Amir Gabay, Adir Solomon, Ido Guy, Bracha Shapira |
| 2024 | Designing Effective Warnings for Manipulative Designs in Mobile Applications. Elaheh Jafari, Julita Vassileva |
| 2024 | Discerning Individual Preferences for Identifying and Flagging Misinformation on Social Media. Dipto Barman, Kevin Koidl, Owen Conlan |
| 2024 | Disentangling Web Search on Debated Topics: A User-Centered Exploration. Alisa Rieger, Suleiman Kulane, Ujwal Gadiraju, Maria Soledad Pera |
| 2024 | Does the Long Tail of Context Exist and Matter? The Case of Dialogue-based Recommender Systems. Konstantin Bauman, Alexey Vasilev, Alexander Tuzhilin |
| 2024 | EXtrA-ShaRC: Explainable and Scrutable Reading Comprehension for Conversational Systems. Jerome Ramos, Aldo Lipani |
| 2024 | Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated Tags. Marta Moscati, Hannah Strauß, Peer-Ole Jacobsen, Andreas Peintner, Eva Zangerle, Marcel Zentner, Markus Schedl |
| 2024 | Evaluating Content-based Pre-Training Strategies for a Knowledge-aware Recommender System based on Graph Neural Networks. Giuseppe Spillo, Francesco Bottalico, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro |
| 2024 | Explaining the Unexplainable: The Impact of Misleading Explanations on Trust in Unreliable Predictions for Hardly Assessable Tasks. Mersedeh Sadeghi, Daniel Pöttgen, Patrick Ebel, Andreas Vogelsang |
| 2024 | FitSight: Tracking and Feedback Engine for Personalized Fitness Training. Hitesh Kotte, Florian Daiber, Milos Kravcik, Nghia Duong-Trung |
| 2024 | GEARS: Generalizable Multi-Purpose Embeddings for Gaze and Hand Data in VR Interactions. Philipp Hallgarten, Naveen Sendhilnathan, Ting Zhang, Ekta Sood, Tanya R. Jonker |
| 2024 | Good GUIs, Bad GUIs: Affective Evaluation of Graphical User Interfaces. Syrine Haddad, Kayhan Latifzadeh, Saravanakumar Duraisamy, Jean Vanderdonckt, Olfa Dâassi, Safya Belghith, Luis A. Leiva |
| 2024 | Improving Transformer-based Sequential Conversational Recommendations through Knowledge Graph Embeddings. Alessandro Petruzzelli, Alessandro Francesco Maria Martina, Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro |
| 2024 | Initial results on personalizing explanations of AI hints in an ITS. Vedant Bahel, Harshinee Sriram, Cristina Conati |
| 2024 | Integrating sentiment features in factorization machines: Experiments on music recommender systems. Javier Wang, Alejandro Bellogín, Iván Cantador |
| 2024 | Modeling user personality traits from aesthetic preference on multiple images. Marta Micheli, Alberto Valese |
| 2024 | Negative Feedback for Music Personalization. M. Jeffrey Mei, Oliver Bembom, Andreas F. Ehmann |
| 2024 | Not a Team but Learning as One: The Impact of Consistent Attendance on Discourse Diversification in Math Group Modeling. Mark Abdelshiheed, Jennifer Jacobs, Sidney D'Mello |
| 2024 | Optimizing Neighborhoods for Fair Top-N Recommendation. Stavroula Eleftherakis, Georgia Koutrika, Sihem Amer-Yahia |
| 2024 | Pervasive Chatbots: Investigating Chatbot Interventions for Multi-Device Applications. Mayowa Olapade, Tarlan Hasanli, Abdul-Rasheed Ottun, Adeyinka Akintola, Mohan Liyanage, Huber Flores |
| 2024 | Preference Elicitation in Interactive and User-centered Algorithmic Recourse: an Initial Exploration. Seyedehdelaram Esfahani, Giovanni De Toni, Bruno Lepri, Andrea Passerini, Katya Tentori, Massimo Zancanaro |
| 2024 | Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2024, Cagliari, Italy, July 1-4, 2024 |
| 2024 | Proponents as the Means to Increase the Uptake of Recommendations. Rikako Matsushima, Yoshinori Hijikata, Shlomo Berkovsky |
| 2024 | Rewriting Bias: Mitigating Media Bias in News Recommender Systems through Automated Rewriting. Qin Ruan, Jin Xu, Susan Leavy, Brian Mac Namee, Ruihai Dong |
| 2024 | Shaping the Future of Content-based News Recommenders: Insights from Evaluating Feature-Specific Similarity Metrics. Daniel Rosnes, Alain D. Starke, Christoph Trattner |
| 2024 | Supporting Group Decision-Making: Insights from a Focus Group Study. Amra Delic, Hanif Emamgholizadeh, Francesco Ricci, Judith Masthoff |
| 2024 | To Adapt or Not to Adapt ? Older Adults Enacting Agency in Dialogues with an Unknowledgeable Agent. Helena Lindgren, Vera C. Kaelin, Ann-Margreth Ljusbäck, Maitreyee Tewari, Michele Persiani, Ingeborg Nilsson |
| 2024 | Toward Tone-Aware Explanations in Recommender Systems. Ayano Okoso, Keisuke Otaki, Satoshi Koide, Yukino Baba |
| 2024 | User Perception of Fairness-Calibrated Recommendations. Gabrielle Alves, Dietmar Jannach, Rodrigo Ferrari de Souza, Marcelo Garcia Manzato |
| 2024 | User Perceptions of Diversity in Recommender Systems. Patrik Dokoupil, Ludovico Boratto, Ladislav Peska |
| 2024 | When in Doubt! Understanding the Role of Task Characteristics on Peer Decision-Making with AI Assistance. Sara Salimzadeh, Ujwal Gadiraju |
| 2024 | Will a Skills Passport ever get me through the lifelong learning border?: Two critical challenges facing personalised user models for lifelong learning. Kirsty Kitto |