Program

Schedule

Program

Session #1 - Fairness, Bias and Ethics (June 17, 11:00 AM - 12:15 PM)

Chair: Michael Ekstrand

  • 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 paper)
  • Adiba Proma, Neeley Pate, James Druckman, Gourab Ghoshal and Ehsan Hoque. Personalizing LLM Responses to Combat Political Misinformation (full paper)
  • 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 paper)
  • Filip Spacek, Vojtech Vancura and Pavel Kordik. Mitigating Risks in Marketplace Semantic Search: A Dataset for Harmful and Sensitive Query Alignment (short paper)
  • Royal Pathak and Francesca Spezzano. Circumventing Misinformation Controls: Assessing the Robustness of Intervention Strategies in Recommender Systems (short paper)
  • Erasmo Purificato, Hannan Javed Mahadik, Ludovico Boratto and Ernesto William De Luca. GNN’s FAME: Fairness-Aware MEssages for Graph Neural Networks (short paper)

Session #2 - Explanation and Transparency (June 17, 2:15 PM - 3:45 PM)

Chair: Marko Tkalčič

  • Aditya Bhattacharya, Tim Vanherwegen and Katrien Verbert. Show Me How: Benefits and Challenges of Agent-Augmented Counterfactual Explanations for Non-Expert Users (full paper)
  • Cedric Waterschoot, Raciel Yera Toledo, Nava Tintarev and Francesco Barile. With Friends Like These, Who Needs Explanations? Evaluating User Understanding of Group Recommendations (full paper)
  • 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 paper)
  • Maxwell Szymanski, Vero Vanden Abeele and Katrien Verbert. Disentangling Stakeholder Role and Expertise in User-Centered Explainable AI (full paper)
  • Patrik Dokoupil and Ladislav Peska. Effects of Quantitative Explanations on Fairness Perception in Group Recommender Systems (short paper)

Industry Session (June 17, 5:00 PM - 5:50 PM)

Chair: Nandana Mihindukulasooriya

  • Sardar Hamidian, Mayur Nankani, Yejin Kim, Shaghayegh Agah, Neeraj Sharma, H. Howie Huang and Kevin Foley. Predicting Movie Hits Before They Happen with LLMs
  • Anupam Agrawal, Jil Kothari, Siddhesh Chaubal and Palash Tatte. Enhancing Personalisation in Fantasy Sports with Graph-Based Representations
  • 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
  • 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
  • Amit Jaspal and Rahul Agarwal. Finding Interest Needle in Popularity Haystack: Improving Retrieval by Modeling Item Exposure

Session #3 - Recommender Systems (June 18, 11:00 AM - 12:30 PM)

Chair: Ludovico Boratto

  • 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 paper)
  • 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 paper)
  • Brett Binst, Lien Michiels and Annelien Smets. What is Serendipity? An Interview Study to Conceptualize Experienced Serendipity in Recommender Systems (full paper)
  • 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 paper)
  • Bruno Sguerra, Viet-Anh Tran, Romain Hennequin and Manuel Moussallam. Uncertainty in Repeated Implicit Feedback as a Measure of Reliability (full paper)
  • Lalit Kishore Vyas and Ludovico Boratto. Addressing Personalized Diversity in Eyewear Recommendation: a Lenskart Case Study (short paper)

Session #4 - Human Factors in Personalization (June 18, 2:00 PM - 3:30 PM)

Chair: Cristina Gena

  • 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 paper)
  • José Dias, Patrícia Alves, Joana Neto and Goreti Marreiros. Mindful Escape: A Mobile Serious Game to Predict the Personality Trait Cooperation (full paper)
  • Luca Raggioli, Antimo Cantiello, Raffaella Esposito, Alessandra Rossi and Silvia Rossi. Comparing Cognitive and Affective Theory of Mind for an Assistive Robotics Application (full paper)
  • Indrajeet Ghosh, Kasthuri Jayarajah, Nicholas Waytowich and Nirmalya Roy. Augmenting Personalized Memory via Practical Multimodal Wearable Sensing in Visual Search and Wayfinding Navigation (full paper)
  • Muhammad Raees, Vassilis-Javed Khan, and Konstantinos Papangelis. Exploring Persuasive Engagement to Reduce Over-Reliance on AI-Assistance in a Customer Classification Case (short paper)
  • Dhairya Dalal, Gaurav Negi and Davide Picca. LLMs and Emotional Intelligence: Evaluating Emotional Understanding Through Psychometric Tools (short paper)

Session #5 - User Modeling (June 18, 4:00 PM - 5:30 PM)

Chair: Olga Santos

  • Marta Moscati, Darius Afchar, Markus Schedl and Bruno Sguerra. Familiarizing with Music: Discovery Patterns for Different Music Discovery Needs (full paper)
  • 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 paper)
  • 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 paper)
  • 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 paper)
  • 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 paper)
  • Mariagrazia Miccoli, Berardina Nadja De Carolis, Giuseppe Palestra and Aurora Toma. Enhancing Digital Narrative Medicine through Emotion Analysis in Conversational Agents (short paper)

Session #6 - Interaction and Adaptive UI (June 19, 9:00 AM - 10:30 AM)

Chair: Styliani Kleanthous

  • Yicheng Fu, Raviteja Anantha, Prabal Vashisht, Jianpeng Cheng and Etai Littwin. UI-JEPA: Towards Active Perception of User Intent through Onscreen User Activity (full paper)
  • Maxwell Szymanski, John Stamper, Vero Vanden Abeele and Katrien Verbert. Granular Feedback: Leveraging Domain Expertise and Explainable AI to Effectively Steer Models (full paper)
  • Fahrettin Gökgöz and Hussein Hasso. Task-specific, personalized Automatic Speech Recognition (full paper)
  • Hatim Alsayahani, Mohammed Alhamadi, Simon Harper and Markel Vigo. The Effect of Nudging Techniques on the Customisation and Usability of Visual Analytics Dashboards (full paper)
  • William Fisher, Jacob Rhyne, Mark Bailey, Joseph Morgan and Ryan Lekivetz. Learning User Interface Preferences via Contextual Discrete Choice Experimentation (short paper)

Session #7 - Learning and Education (June 19, 11:00 AM - 12:00 PM)

Chair: Fabio Gasparetti

  • Matthieu Branthôme and Sébastien Lallé. Impact of Adaptive Feedback on Learning Programming with a Serious Game in High Schools’ Classes (full paper)
  • Mubina Kamberovic, Amina Mevic and Senka Krivic. Sentence Encoder-Based Clustering Method for Modeling Students’ Learning Programming Behavior (full paper)
  • 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 paper)
  • 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 paper)
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