Table of Contents

• Assessing Medical Training Skills via Eye and Head MovementsKayhan Latifzadeh, Luis A. Leiva, Klen Copic Pucihar, Matjaz Kljun, Iztok Devetak, Lili Steblovnik. 1-10 [doi]
• Augmenting Personalized Memory via Practical Multimodal Wearable Sensing in Visual Search and Wayfinding NavigationIndrajeet Ghosh, Kasthuri Jayarajah, Nicholas R. Waytowich, Nirmalya Roy. 11-21 [doi]
• Comparing Cognitive and Affective Theory of Mind for an Assistive Robotics ApplicationLuca Raggioli, Antimo Cantiello, Raffaella Esposito, Alessandra Rossi 0001, Silvia Rossi 0002. 22-31 [doi]
• Disentangling Stakeholder Role and Expertise in User-Centered Explainable AIMaxwell Szymanski, Vero Vanden Abeele, Katrien Verbert. 32-39 [doi]
• Empowering Recommender Systems based on Large Language Models through Knowledge Injection TechniquesAlessandro Petruzzelli, Cataldo Musto, Marco de Gemmis, Giovanni Semeraro, Pasquale Lops. 40-50 [doi]
• "Even explanations will not help in trusting [this] fundamentally biased system": A Predictive Policing Case-StudySiddharth Mehrotra, Ujwal Gadiraju, Eva Bittner, Folkert van Delden, Catholijn M. Jonker, Myrthe L. Tielman. 51-62 [doi]
• Familiarizing with Music: Discovery Patterns for Different Music Discovery NeedsMarta Moscati, Darius Afchar, Markus Schedl, Bruno Sguerra. 63-72 [doi]
• GAL-KARS: Exploiting LLMs for Graph Augmentation in Knowledge-Aware Recommender SystemsGiuseppe Spillo, Cataldo Musto, Matteo Mannavola, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro. 73-82 [doi]
• Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent KnowledgeDonghuo Zeng, Roberto Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang 0001. 83-93 [doi]
• Granular Feedback: Leveraging Domain Expertise and Explainable AI to Effectively Steer ModelsMaxwell Szymanski, John C. Stamper, Vero Vanden Abeele, Katrien Verbert. 94-103 [doi]
• Impact of Adaptive Feedback on Learning Programming with a Serious Game in High Schools' ClassesMatthieu Branthôme, Sébastien Lallé. 104-113 [doi]
• Legal but Unfair: Auditing the Impact of Data Minimization on Fairness and Accuracy Trade-off in Recommender SystemsSalvatore Bufi, Vincenzo Paparella, Vito Walter Anelli, Tommaso Di Noia. 114-123 [doi]
• Mindful Escape: a Mobile Serious Game to Predict the Personality Trait CooperationJosé Dias, Patrícia Alves, Joana Neto, Goreti Marreiros. 124-133 [doi]
• Personalizing LLM Responses to Combat Political MisinformationAdiba Mahbub Proma, Neeley Pate, James Druckman, Gourab Ghoshal, Ehsan Hoque 0001. 134-143 [doi]
• Pilot Trainees Benefit from Modelling and Adaptive FeedbackYalmaz Ali Abdullah, Michael Guevarra, Minghao Cai, Jialiang Yan, Matthew E. Taylor, Carrie Demmans Epp. 144-154 [doi]
• Sentence Encoder-Based Clustering Method for Modeling Students' Learning Programming BehaviorMubina Kamberovic, Amina Mevic, Senka Krivic. 155-163 [doi]
• Should We Tailor the Talk? Understanding the Impact of Conversational Styles on Preference Elicitation in Conversational Recommender SystemsIvica Kostric, Krisztian Balog, Ujwal Gadiraju. 164-173 [doi]
• "Show Me How": Benefits and Challenges of Agent-Augmented Counterfactual Explanations for Non-Expert UsersAditya Bhattacharya, Tim Vanherwegen, Katrien Verbert. 174-184 [doi]
• Synthetic Voices: Evaluating the Fidelity of LLM-Generated Personas in Representing People's Financial WellbeingArshnoor Kaur, Amanda Aird, Harris Borman, Andrea Nicastro, Anna Leontjeva, Luiz Pizzato, Dan Jermyn. 185-193 [doi]
• Task-specific, personalized Automatic Speech RecognitionFahrettin Gökgöz, Hussein Hasso. 194-203 [doi]
• The Effect of Nudging Techniques on the Customisation and Usability of Visual Analytics DashboardsHatim Alsayahani, Mohammed Alhamadi, Simon Harper, Markel Vigo. 204-213 [doi]
• The role of GPT as an adaptive technology in climate change journalismJia Hua Jeng, Gloria Kasangu, Alain Starke, Khadiga Mahmoud Abdalla Seddik, Christoph Trattner. 214-223 [doi]
• UI-JEPA: Towards Active Perception of User Intent through Onscreen User ActivityYicheng Fu, Raviteja Anantha, Prabal Vashisht, Jianpeng Cheng 0003, Etai Littwin. 224-233 [doi]
• Uncertainty in Repeated Implicit Feedback as a Measure of ReliabilityBruno Sguerra, Viet-Anh Tran, Romain Hennequin, Manuel Moussallam. 234-242 [doi]
• What Is Serendipity? An Interview Study to Conceptualize Experienced Serendipity in Recommender SystemsBrett Binst, Lien Michiels, Annelien Smets. 243-252 [doi]
• With Friends Like These, Who Needs Explanations? Evaluating User Understanding of Group RecommendationsCedric Waterschoot, Raciel Yera Toledo, Nava Tintarev, Francesco Barile. 253-262 [doi]
• Addressing Personalized Diversity in Eyewear Recommendation: a Lenskart Case StudyLalit Kishore Vyas, Ludovico Boratto. 263-267 [doi]
• Bridging Preferences: Multi-Stakeholder Insights on Ideal News RecommendationsThomas Elmar Kolb, Irina Nalis, Julia Neidhardt. 268-272 [doi]
• 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. 273-278 [doi]
• Circumventing Misinformation Controls: Assessing the Robustness of Intervention Strategies in Recommender SystemsRoyal Pathak, Francesca Spezzano. 279-284 [doi]
• Effects of Quantitative Explanations on Fairness Perception in Group Recommender SystemsPatrik Dokoupil, Ladislav Peska. 285-289 [doi]
• Enhancing Digital Narrative Medicine through Emotion Analysis in Conversational AgentsMaria Grazia Miccoli, Berardina Nadja De Carolis, Giuseppe Palestra, Aurora Toma. 290-294 [doi]
• Exploring Persuasive Engagement to Reduce Over-Reliance on AI-Assistance in a Customer Classification CaseMuhammad Raees 0002, Vassilis-Javed Khan, Konstantinos Papangelis. 295-300 [doi]
• GNN's FAME: Fairness-Aware MEssages for Graph Neural NetworksErasmo Purificato, Hannan Javed Mahadik, Ludovico Boratto, Ernesto William De Luca. 301-306 [doi]
• Integrating Expert Knowledge With Automated Knowledge Component Extraction for Student ModelingRafaella Sampaio de Alencar, Mehmet Arif Demirtas, Adittya Soukarjya Saha, Yang Shi 0004, Peter Brusilovsky. 307-312 [doi]
• Learning User Interface Preferences via Contextual Discrete Choice ExperimentationWilliam Fisher, Jacob Rhyne, Mark Bailey, Joseph Morgan, Ryan Lekivetz. 313-317 [doi]
• Leveraging LLMs to Explain the Consequences of RecommendationsSebastian Lubos, Michael Gartner, Alexander Felfernig, Reinhard Willfort. 318-322 [doi]
• LLMs and Emotional Intelligence: Evaluating Emotional Understanding Through Psychometric ToolsDhairya Dalal, Gaurav Negi, Davide Picca. 323-328 [doi]
• Mitigating Risks in Marketplace Semantic Search: A Dataset for Harmful and Sensitive Query AlignmentFilip Spacek, Vojtech Vancura, Pavel Kordík. 329-334 [doi]
• "Strangers in a new culture see only what they know": Evaluating Effectiveness of GPT-4 Omni for Detecting Cross-Cultural Communication Norm ViolationsTzu-Yu Weng, Hanna AlZughbi, Isaac Rabago, Erin Arévalo Chaves, Erik Vagil, Nancy Fulda, Erin Ash, Mainack Mondal, Bart P. Knijnenburg, Xinru Page. 335-340 [doi]
• Training Green and Sustainable Recommendation Models: Introducing Carbon Footprint Data into Early Stopping CriteriaGiuseppe Spillo, Allegra De Filippo, Emanuele Fontana, Michela Milano, Giovanni Semeraro. 341-346 [doi]
• Unveiling Creativity in Student Code: A Gaussian Mixture Model ApproachVeronika Bogina, Arnon Hershkovitz, Noam Koenigstein. 347-351 [doi]
• Why Context Matters: Exploring How Musical Context Impacts User Behavior, Mood, and Musical PreferencesAnna Hausberger, Emilia Parada-Cabaleiro, Markus Schedl. 352-357 [doi]
• Adaptive User Modeling in Visual Merchandising: Balancing Brand Identity with Operational EfficiencyPotito Aghilar, Vito Walter Anelli, Andrea Lops, Fedelucio Narducci, Azzurra Ragone, Sabino Roccotelli, Michelantonio Trizio. 358-360 [doi]
• Enhancing Personalisation in Fantasy Sports with Graph-Based RepresentationsAnupam Agrawal, Jil Kothari, Siddhesh Chaubal, Palash Tatte. 361-363 [doi]
• Finding Interest Needle in Popularity Haystack: Improving Retrieval by Modeling Item ExposureRahul Agarwal, Amit Jaspal, Saurabh Gupta, Omkar Vichare. 364-366 [doi]
• Personalized Fashion Advertising with Large Language Models: A Case Study on Fine-Tuning for Marketing Copy GenerationAndrea Lops, Fedelucio Narducci, Azzurra Ragone, Michelantonio Trizio. 367-369 [doi]
• Predicting Movie Hits Before They Happen with LLMsShaghayegh Agah, Yejin Kim, Neeraj Sharma, Mayur Nankani, Kevin Foley, H. Howie Huang, Sardar Hamidian. 370-373 [doi]
• AI-Assisted LearningMubina Kamberovic. 374-378 [doi]
• Cognitive-Emotional Modeling and Hybrid Intelligence: A User-Centered Approach to Psychomotor Interventions in Active AgingDayris Rapado. 379-382 [doi]
• Enabling Novices to Diagnose Robot Failures by Aligning Users' Mental Models of RobotsGregory LeMasurier. 383-387 [doi]
• Integrating Indoor Positioning, Recommendation, and Personalization to Enhance Museum Visitor ExperiencesAlessio Ferrato. 388-392 [doi]
• Investigating Speech and Multimedia Integration in Assistive RobotsMassimo Donini. 393-397 [doi]
• Just a Chill Robot. Strategies for relatable and personalized Assistive Robots for Autistic ChildrenLinda Pigureddu. 398-403 [doi]
• Segment, Recommend, and Explain: Advancing Conversational Recommender Systems with Large Language Model AgentsFillipe dos Santos Silva. 404-408 [doi]
• Supporting User Information Processing Through Large Language Models Within the Political SphereNeeley Pate. 409-413 [doi]
• Teaming in the AI Era: AI-Augmented Frameworks for Forming, Simulating, and Optimizing Human TeamsMohammed Almutairi. 414-418 [doi]
• Towards Intelligent VR Training: A Physiological Adaptation Framework for Cognitive Load and Stress DetectionMahsa Nasri. 419-423 [doi]
• Towards Personalized Physiotherapy via Common Semantic Fusion: Multi-Modal Learning, Computer Vision and Empathetic NLPVictor Garcia. 424-428 [doi]