Call for Full and Short Papers

Author(s) Title Track
José Dias, Patrícia Alves, Joana Neto and Goreti Marreiros Mindful Escape: a Mobile Serious Game to Predict the  Personality Trait Cooperation Full Papers
Donghuo Zeng, Roberto S. Legaspi, Yuewen Sun, Xinshuai  Dong, Kazushi Ikeda, Peter Spirtes and Kun Zhang Generative Framework for Personalized Persuasion: Inferring  Causal, Counterfactual, and Latent Knowledge Full Papers
Aditya Bhattacharya, Tim Vanherwegen and Katrien Verbert "Show Me How": Benefits and Challenges of Agent-Augmented  Counterfactual Explanations for Non-Expert Users Full Papers
Brett Binst, Lien Michiels and Annelien Smets What is Serendipity? An Interview Study to Conceptualize  Experienced Serendipity in Recommender Systems Full Papers
Matthieu Branthôme and Sébastien Lallé Impact of Adaptive Feedback on Learning Programming with a  Serious Game in High Schools’ Classes Full Papers
Yicheng Fu, Raviteja Anantha, Prabal Vashisht, Jianpeng  Cheng and Etai Littwin UI-JEPA: Towards Active Perception of User Intent through  Onscreen User Activity Full Papers
Kayhan Latifzadeh, Luis A. Leiva, Klen Čopič Pucihar,  Matjaž Kljun, Iztok Devetak and Lili Steblovnik Assessing Medical Training Skills via Eye and Head Movements Full Papers
Bruno Sguerra, Viet-Anh Tran, Romain Hennequin and Manuel  Moussallam Uncertainty in Repeated Implicit Feedback as a Measure of  Reliability Full Papers
Jia Hua Jeng, Gloria Kasangu, Alain D. Starke, Khadiga  Seddik and Christoph Trattner The role of GPT as an adaptive technology in climate change  journalism Full Papers
Marta Moscati, Darius Afchar, Markus Schedl and Bruno  Sguerra Familiarizing with Music: Discovery Patterns for Different  Music Discovery Needs Full Papers
Yalmaz A. Abdullah, Michael Guevarra, Minghao Cai, Jialiang  Yan, Matthew E. Taylor and Carrie Demmans Epp Pilot Trainees Benefit from Modelling and Adaptive Feedback Full Papers
Maxwell Szymanski, John Stamper, Vero Vanden Abeele and  Katrien Verbert Granular Feedback: Leveraging Domain Expertise and  Explainable AI to Effectively Steer Models Full Papers
Arshnoor Kaur, Amanda Aird, Harris Borman, Dr Andrea  Nicastro, Dr Anna Leontjeva, Dr Luiz Pizzato and Dan Jermyn Synthetic Voices: Evaluating the Fidelity of LLM-Generated  Personas in Representing People’s Financial Wellbeing Full Papers
Indrajeet Ghosh, Kasthuri Jayarajah, Nicholas Waytowich and  Nirmalya Roy Augmenting Personalized Memory via Practical Multimodal  Wearable Sensing in Visual Search and Wayfinding Navigation Full Papers
Alessandro Petruzzelli, Cataldo Musto, Marco de Gemmis,  Giovanni Semeraro and Pasquale Lops Empowering Recommender Systems based on Large Language  Models through Knowledge Injection Techniques Full Papers
Giuseppe Spillo, Cataldo Musto, Matteo Mannavola, Marco de  Gemmis, Pasquale Lops and Giovanni Semeraro GAL-KARS: Exploiting LLMs for Graph Augmentation in  Knowledge-Aware Recommender Systems Full Papers
Siddharth Mehrotra, Ujwal Gadiraju, Eva Bittner, Folkert  van Delden, Catholijn M. Jonker and Myrthe L. Tielman “Even explanations will not help in trusting [this]  fundamentally biased system”: A Predictive Policing  Case-Study Full Papers
Mubina Kamberovic, Amina Mevic and Senka Krivic Sentence Encoder-Based Clustering Method for Modeling  Students' Learning Programming Behavior Full Papers
Cedric Waterschoot, Raciel Yera Toledo, Nava Tintarev and  Francesco Barile With Friends Like These, Who Needs Explanations? Evaluating  User Understanding of Group Recommendations Full Papers
Luca Raggioli, Antimo Cantiello, Raffaella Esposito,  Alessandra Rossi and Silvia Rossi Comparing Cognitive and Affective Theory of Mind for an  Assistive Robotics Application Full Papers
Fahrettin Gökgöz and Hussein Hasso Task-specific, personalized Automatic Speech Recognition Full Papers
Adiba Proma, Neeley Pate, James Druckman, Gourab Ghoshal  and Ehsan Hoque Personalizing LLM Responses to Combat Political  Misinformation Full Papers
Maxwell Szymanski, Vero Vanden Abeele and Katrien Verbert Disentangling Stakeholder Role and Expertise in  User-Centered Explainable AI Full Papers
Hatim Alsayahani, Mohammed Alhamadi, Simon Harper and  Markel Vigo The Effect of Nudging Techniques on the Customisation and  Usability of Visual Analytics Dashboards Full Papers
Ivica Kostric, Krisztian Balog and Ujwal Gadiraju Should We Tailor the Talk? Understanding the Impact of  Conversational Styles on Preference Elicitation in  Conversational Recommender Systems Full Papers
Salvatore Bufi, Vincenzo Paparella, Vito Walter Anelli and  Tommaso Di Noia Legal but Unfair: Auditing the Impact of Data Minimization  on Fairness and Accuracy Trade-off in Recommender Systems Full Papers
Dhairya Dalal, Gaurav Negi and Davide Picca LLMs and Emotional Intelligence: Evaluating Emotional  Understanding Through Psychometric Tools Short Papers
William Fisher, Jacob Rhyne, Mark Bailey, Joseph Morgan and  Ryan Lekivetz Learning User Interface Preferences via Contextual Discrete  Choice Experimentation Short Papers
Muhammad Raees, Vassilis-Javed Khan and Konstantinos  Papangelis Exploring Persuasive Engagement to Reduce Over-Reliance on  AI-Assistance in a Customer Classification Case Short Papers
Lalit Kishore Vyas and Ludovico Boratto Addressing Personalized Diversity in Eyewear  Recommendation: a Lenskart Case Study Short Papers
Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni  Fenu, Francesca Maridina Malloci, Mirko Marras and Andrea  Giovanni Martis Can Path-Based Explainable Recommendation Methods based on  Knowledge Graphs Generalize for Personalized Education? Short Papers
Erasmo Purificato, Hannan Javed Mahadik, Ludovico Boratto  and Ernesto William De Luca GNN’s FAME: Fairness-Aware MEssages for Graph Neural  Networks Short Papers
Filip Spacek, Vojtech Vancura and Pavel Kordik Mitigating Risks in Marketplace Semantic Search: A Dataset  for Harmful and Sensitive Query Alignment Short Papers
Mariagrazia Miccoli, Berardina Nadja De Carolis, Giuseppe  Palestra and Aurora Toma Enhancing Digital Narrative Medicine through Emotion  Analysis in Conversational Agents Short Papers
Patrik Dokoupil and Ladislav Peska Effects of Quantitative Explanations on Fairness Perception  in Group Recommender Systems Short Papers
Rafaella Sampaio de Alencar, Mehmet Arif Demirtas, Adittya  Soukarjya Saha, Yang Shi and Peter Brusilovsky Integrating Expert Knowledge With Automated Knowledge  Component Extraction for Student Modeling Short Papers
Royal Pathak and Francesca Spezzano Circumventing Misinformation Controls: Assessing the  Robustness of Intervention Strategies in Recommender Systems Short Papers
Tzu-Yu Weng, Hanna Alzughbi, Isaac Rabago, Erin Arévalo  Chaves, Erik Vagil, Nancy Fulda, Erin Ash, Mainack Mondal,  Bart Knijnenburg and Xinru Page "Strangers in a new culture see only what they know'':  Evaluating Effectiveness of GPT-4 Omni for Detecting  Cross-Cultural Communication Norm Violations Short Papers
Veronika Bogina, Arnon Hershkovitz and Noam Koenigstein Unveiling Creativity in Student Code: A Gaussian Mixture  Model Approach Short Papers
Sebastian Lubos, Michael Gartner, Alexander Felfernig and  Reinhard Willfort Leveraging LLMs to Explain the Consequences of  Recommendations Short Papers
Giuseppe Spillo, Allegra De Filippo, Emanuele Fontana,  Michela Milano and Giovanni Semeraro Training Green and Sustainable Recommendation Models:  Introducing Carbon Footprint Data into Early Stopping  Criteria Short Papers
Anna Hausberger, Emilia Parada-Cabaleiro and Markus Schedl Why Context Matters: Exploring How Musical Context Impacts  User Behavior, Mood, and Musical Preferences Short Papers
Thomas Elmar Kolb, Irina Nalis-Neuner and Julia Neidhardt Bridging Preferences: Multi-Stakeholder Insights on Ideal  News Recommendations Short Papers
Potito Aghilar, Vito Walter Anelli, Andrea Lops, Fedelucio Narducci, Azzurra Ragone, Sabino Roccotelli and Michelantonio Trizio Adaptive User Modeling in Visual Merchandising: Balancing Brand Identity with Operational Efficiency Industry Papers
Amit Jaspal and Rahul Agarwal Finding Interest Needle in Popularity Haystack: Improving Retrieval by Modeling Item Exposure Industry Papers
Sardar Hamidian, Mayur Nankani, Yejin Kim, Shaghayegh Agah, Neeraj Sharma, H. Howie Huang and Kevin Foley Predicting Movie Hits Before They Happen with LLMs Industry Papers
Anupam Agrawal, Jil Kothari, Siddhesh Chaubal and Palash Tatte Enhancing Personalisation in Fantasy Sports with Graph-Based Representations Industry Papers
Andrea Lops, Fedelucio Narducci, Azzurra Ragone and Michelantonio Trizio Personalized Fashion Advertising with Large Language Models: A Case Study on Fine-Tuning for Marketing Copy Generation Industry Papers
Arsen Matej Golubovikj, Bruce Ferwerda, Alan Said and Marko Tkalčič Soundtracks of Our Lives: How Age Influences Musical Preferences LBR (Fast Track)
Francesco Manco, Domenico Roberto, Marco Polignano and Giovanni Semeraro JARVIS: Adaptive Dual-Hemisphere Architectures For Personalized Large Agentic Models LBR (Fast Track)
Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia and Eugenio Di Sciascio Stealthy LLM-Driven Data Poisoning Attacks Against Embedding-Based Retrieval-Augmented Recommender Systems LBR (Fast Track)
Juan Ahmad, Jonas Hellgren and Alan Said Tell Me the Good Stuff: User Preferences in Movie Recommendation Explanations LBR (Fast Track)
Victor Garcia Towards Personalized Physiotherapy via Common Semantic Fusion: Multi-Modal Learning, Computer Vision and Empathetic NLP Doctoral Symposium
Dayris Rapado Cognitive-Emotional Modeling and Hybrid Intelligence: A User-Centered Approach to Psychomotor Interventions in Active Aging Doctoral Symposium
Neeley Pate Supporting User Information Processing Through Large Language Models Within the Political Sphere Doctoral Symposium
Massimo Donini Investigating Speech and Multimedia Integration in Assistive Robots Doctoral Symposium
Fillipe Santos Segment, Explain, Recommend: Advancing Conversational Recommender Systems with LLM Agents Doctoral Symposium
Linda Pigureddu Just a Chill Robot. Strategies for relatable and personalized Assistive Robots for Autistic Children Doctoral Symposium
Mubina Kamberovic AI-Assisted Learning Doctoral Symposium
Alessio Ferrato Integrating Indoor Positioning, Recommendation, and Personalization to Enhance Museum Visitor Experiences Doctoral Symposium
Gregory LeMasurier Enabling Novices to Diagnose Robot Failures by Aligning Users' Mental Models of Robots Doctoral Symposium
Mohammed Almutairi Teaming in the AI Era: AI-Augmented Frameworks for Forming, Simulating, and Optimizing Human Teams. Doctoral Symposium
Mahsa Nasri Towards Intelligent VR Training: A Physiological Adaptation Framework for Cognitive Load and Stress Detection Doctoral Symposium
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