{"id":3304,"date":"2025-04-22T12:27:35","date_gmt":"2025-04-22T12:27:35","guid":{"rendered":"https:\/\/www.um.org\/umap2025\/?page_id=3304"},"modified":"2025-05-27T13:46:06","modified_gmt":"2025-05-27T17:46:06","slug":"accepted-papers","status":"publish","type":"page","link":"https:\/\/www.um.org\/umap2025\/accepted-papers\/","title":{"rendered":"Accepted Papers"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"3304\" class=\"elementor elementor-3304\">\n\t\t\t\t<div class=\"elementor-element elementor-element-281368a5 e-con-full e-flex e-con e-parent\" data-id=\"281368a5\" data-element_type=\"container\" id=\"umap-home-image\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;position&quot;:&quot;absolute&quot;}\">\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-667ccbe5 e-con-full umap-title e-flex e-con e-parent\" data-id=\"667ccbe5\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-58cb84bb elementor-widget elementor-widget-heading\" data-id=\"58cb84bb\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Call for Full and Short Papers<\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-208869ab e-con-full e-flex e-con e-parent\" data-id=\"208869ab\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2dc6ee27 elementor-widget elementor-widget-spacer\" data-id=\"2dc6ee27\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f8540e2 umap-ast-container e-flex e-con-boxed e-con e-parent\" data-id=\"f8540e2\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-3e9fbe7 e-con-full e-flex e-con e-child\" data-id=\"3e9fbe7\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1f10dda elementor-widget elementor-widget-html\" data-id=\"1f10dda\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<div id=\"accepted-papers-search-buttons\" style=\"text-align: center; margin-bottom: 10px;\">\n    <!--<button class=\"filter-button\" data-type=\"Demonstration\">Demonstration<\/button>-->\n    <button class=\"filter-button\" data-type=\"Doctoral Symposium\">Doctoral Symposium<\/button>\n    <button class=\"filter-button\" data-type=\"Full Papers\">Full Papers<\/button>\n    <button class=\"filter-button\" data-type=\"Industry Papers\">Industry Papers<\/button>\n    <button class=\"filter-button\" data-type=\"LBR (Fast Track)\">LBR (Fast Track)<\/button>\n    <button class=\"filter-button\" data-type=\"LBR\">LBR<\/button>\n    <button class=\"filter-button\" data-type=\"Short Papers\">Short Papers<\/button>\n    <!--<button class=\"filter-button\" data-type=\"Workshop Paper\">Workshop Paper<\/button>-->\n<\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3713c35 e-con-full e-flex e-con e-parent\" data-id=\"3713c35\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ea572b7 elementor-widget elementor-widget-spacer\" data-id=\"ea572b7\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-cd89299 umap-ast-container e-flex e-con-boxed e-con e-parent\" data-id=\"cd89299\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-f96be70 e-con-full e-flex e-con e-child\" data-id=\"f96be70\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-fd3a37b elementor-widget elementor-widget-html\" data-id=\"fd3a37b\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<div>\r\n<input type=\"text\" id=\"accepted-papers-search-input\" class=\"elementor-widget-text-editor\" placeholder=\"Search for title or author\">\r\n<\/div>\r\n<div style=\"transform: rotateX(180deg); overflow-x: auto; margin-top: 1rem;\">\r\n    <table id=\"accepted-papers-search-table\" style=\"transform: rotateX(180deg);\">\r\n        <thead>\r\n            <tr>\r\n                <th scope=\"col\">Author(s)<\/th>\r\n                <th scope=\"col\">Title<\/th>\r\n                <th scope=\"col\">Track<\/th>\r\n                <!--<th scope=\"col\">Session<\/th>-->\r\n            <\/tr>\r\n        <\/thead>\r\n       <tbody>\r\n    \t\t<tr>\r\n    \t\t\t<td>Jos\u00e9 Dias, Patr\u00edcia Alves, Joana Neto and Goreti Marreiros<\/td>\r\n    \t\t\t<td>Mindful Escape: a Mobile Serious Game to Predict the&nbsp;&nbsp;Personality Trait Cooperation<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Donghuo Zeng, Roberto S. Legaspi, Yuewen Sun, Xinshuai&nbsp;&nbsp;Dong, Kazushi Ikeda, Peter Spirtes and Kun Zhang<\/td>\r\n    \t\t\t<td>Generative Framework for Personalized Persuasion: Inferring&nbsp;&nbsp;Causal, Counterfactual, and Latent Knowledge<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Aditya Bhattacharya, Tim Vanherwegen and Katrien Verbert<\/td>\r\n    \t\t\t<td>&quot;Show Me How&quot;: Benefits and Challenges of Agent-Augmented&nbsp;&nbsp;Counterfactual Explanations for Non-Expert Users<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Brett Binst, Lien Michiels and Annelien Smets<\/td>\r\n    \t\t\t<td>What is Serendipity? An Interview Study to Conceptualize&nbsp;&nbsp;Experienced Serendipity in Recommender Systems<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Matthieu Branth\u00f4me and S\u00e9bastien Lall\u00e9<\/td>\r\n    \t\t\t<td>Impact of Adaptive Feedback on Learning Programming with a&nbsp;&nbsp;Serious Game in High Schools\u2019 Classes<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Yicheng Fu, Raviteja Anantha, Prabal Vashisht, Jianpeng&nbsp;&nbsp;Cheng and Etai Littwin<\/td>\r\n    \t\t\t<td>UI-JEPA: Towards Active Perception of User Intent through&nbsp;&nbsp;Onscreen User Activity<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Kayhan Latifzadeh, Luis A. Leiva, Klen \u010copi\u010d Pucihar,&nbsp;&nbsp;Matja\u017e Kljun, Iztok Devetak and Lili Steblovnik<\/td>\r\n    \t\t\t<td>Assessing Medical Training Skills via Eye and Head Movements<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Bruno Sguerra, Viet-Anh Tran, Romain Hennequin and Manuel&nbsp;&nbsp;Moussallam<\/td>\r\n    \t\t\t<td>Uncertainty in Repeated Implicit Feedback as a Measure of&nbsp;&nbsp;Reliability<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Jia Hua Jeng, Gloria Kasangu, Alain D. Starke, Khadiga&nbsp;&nbsp;Seddik and Christoph Trattner<\/td>\r\n    \t\t\t<td>The role of GPT as an adaptive technology in climate change&nbsp;&nbsp;journalism<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Marta Moscati, Darius Afchar, Markus Schedl and Bruno&nbsp;&nbsp;Sguerra<\/td>\r\n    \t\t\t<td>Familiarizing with Music: Discovery Patterns for Different&nbsp;&nbsp;Music Discovery Needs<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Yalmaz A. Abdullah, Michael Guevarra, Minghao Cai, Jialiang&nbsp;&nbsp;Yan, Matthew E. Taylor and Carrie Demmans Epp<\/td>\r\n    \t\t\t<td>Pilot Trainees Benefit from Modelling and Adaptive Feedback<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Maxwell Szymanski, John Stamper, Vero Vanden Abeele and&nbsp;&nbsp;Katrien Verbert<\/td>\r\n    \t\t\t<td>Granular Feedback: Leveraging Domain Expertise and&nbsp;&nbsp;Explainable AI to Effectively Steer Models<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Arshnoor Kaur, Amanda Aird, Harris Borman, Dr Andrea&nbsp;&nbsp;Nicastro, Dr Anna Leontjeva, Dr Luiz Pizzato and Dan Jermyn<\/td>\r\n    \t\t\t<td>Synthetic Voices: Evaluating the Fidelity of LLM-Generated&nbsp;&nbsp;Personas in Representing People\u2019s Financial Wellbeing<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Indrajeet Ghosh, Kasthuri Jayarajah, Nicholas Waytowich and&nbsp;&nbsp;Nirmalya Roy<\/td>\r\n    \t\t\t<td>Augmenting Personalized Memory via Practical Multimodal&nbsp;&nbsp;Wearable Sensing in Visual Search and Wayfinding Navigation<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Alessandro Petruzzelli, Cataldo Musto, Marco de Gemmis,&nbsp;&nbsp;Giovanni Semeraro and Pasquale Lops<\/td>\r\n    \t\t\t<td>Empowering Recommender Systems based on Large Language&nbsp;&nbsp;Models through Knowledge Injection Techniques<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Giuseppe Spillo, Cataldo Musto, Matteo Mannavola, Marco de&nbsp;&nbsp;Gemmis, Pasquale Lops and Giovanni Semeraro<\/td>\r\n    \t\t\t<td>GAL-KARS: Exploiting LLMs for Graph Augmentation in&nbsp;&nbsp;Knowledge-Aware Recommender Systems<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Siddharth Mehrotra, Ujwal Gadiraju, Eva Bittner, Folkert&nbsp;&nbsp;van Delden, Catholijn M. Jonker and Myrthe L. Tielman<\/td>\r\n    \t\t\t<td>\u201cEven explanations will not help in trusting [this]&nbsp;&nbsp;fundamentally biased system\u201d: A Predictive Policing&nbsp;&nbsp;Case-Study<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Mubina Kamberovic, Amina Mevic and Senka Krivic<\/td>\r\n    \t\t\t<td>Sentence Encoder-Based Clustering Method for Modeling&nbsp;&nbsp;Students&#x27; Learning Programming Behavior<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Cedric Waterschoot, Raciel Yera Toledo, Nava Tintarev and&nbsp;&nbsp;Francesco Barile<\/td>\r\n    \t\t\t<td>With Friends Like These, Who Needs Explanations? Evaluating&nbsp;&nbsp;User Understanding of Group Recommendations<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Luca Raggioli, Antimo Cantiello, Raffaella Esposito,&nbsp;&nbsp;Alessandra Rossi and Silvia Rossi<\/td>\r\n    \t\t\t<td>Comparing Cognitive and Affective Theory of Mind for an&nbsp;&nbsp;Assistive Robotics Application<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Fahrettin G\u00f6kg\u00f6z and Hussein Hasso<\/td>\r\n    \t\t\t<td>Task-specific, personalized Automatic Speech Recognition<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Adiba Proma, Neeley Pate, James Druckman, Gourab Ghoshal&nbsp;&nbsp;and Ehsan Hoque<\/td>\r\n    \t\t\t<td>Personalizing LLM Responses to Combat Political&nbsp;&nbsp;Misinformation<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Maxwell Szymanski, Vero Vanden Abeele and Katrien Verbert<\/td>\r\n    \t\t\t<td>Disentangling Stakeholder Role and Expertise in&nbsp;&nbsp;User-Centered Explainable AI<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Hatim Alsayahani, Mohammed Alhamadi, Simon Harper and&nbsp;&nbsp;Markel Vigo<\/td>\r\n    \t\t\t<td>The Effect of Nudging Techniques on the Customisation and&nbsp;&nbsp;Usability of Visual Analytics Dashboards<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Ivica Kostric, Krisztian Balog and Ujwal Gadiraju<\/td>\r\n    \t\t\t<td>Should We Tailor the Talk? Understanding the Impact of&nbsp;&nbsp;Conversational Styles on Preference Elicitation in&nbsp;&nbsp;Conversational Recommender Systems<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Salvatore Bufi, Vincenzo Paparella, Vito Walter Anelli and&nbsp;&nbsp;Tommaso Di Noia<\/td>\r\n    \t\t\t<td>Legal but Unfair: Auditing the Impact of Data Minimization&nbsp;&nbsp;on Fairness and Accuracy Trade-off in Recommender Systems<\/td>\r\n    \t\t\t<td>Full Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Dhairya Dalal, Gaurav Negi and Davide Picca<\/td>\r\n    \t\t\t<td>LLMs and Emotional Intelligence: Evaluating Emotional&nbsp;&nbsp;Understanding Through Psychometric Tools<\/td>\r\n    \t\t\t<td>Short Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>William Fisher, Jacob Rhyne, Mark Bailey, Joseph Morgan and&nbsp;&nbsp;Ryan Lekivetz<\/td>\r\n    \t\t\t<td>Learning User Interface Preferences via Contextual Discrete&nbsp;&nbsp;Choice Experimentation<\/td>\r\n    \t\t\t<td>Short Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Muhammad Raees, Vassilis-Javed Khan and Konstantinos&nbsp;&nbsp;Papangelis<\/td>\r\n    \t\t\t<td>Exploring Persuasive Engagement to Reduce Over-Reliance on&nbsp;&nbsp;AI-Assistance in a Customer Classification Case<\/td>\r\n    \t\t\t<td>Short Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Lalit Kishore Vyas and Ludovico Boratto<\/td>\r\n    \t\t\t<td>Addressing Personalized Diversity in Eyewear&nbsp;&nbsp;Recommendation: a Lenskart Case Study<\/td>\r\n    \t\t\t<td>Short Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni&nbsp;&nbsp;Fenu, Francesca Maridina Malloci, Mirko Marras and Andrea&nbsp;&nbsp;Giovanni Martis<\/td>\r\n    \t\t\t<td>Can Path-Based Explainable Recommendation Methods based on&nbsp;&nbsp;Knowledge Graphs Generalize for Personalized Education?<\/td>\r\n    \t\t\t<td>Short Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Erasmo Purificato, Hannan Javed Mahadik, Ludovico Boratto&nbsp;&nbsp;and Ernesto William De Luca<\/td>\r\n    \t\t\t<td>GNN\u2019s FAME: Fairness-Aware MEssages for Graph Neural&nbsp;&nbsp;Networks<\/td>\r\n    \t\t\t<td>Short Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Filip Spacek, Vojtech Vancura and Pavel Kordik<\/td>\r\n    \t\t\t<td>Mitigating Risks in Marketplace Semantic Search: A Dataset&nbsp;&nbsp;for Harmful and Sensitive Query Alignment<\/td>\r\n    \t\t\t<td>Short Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Mariagrazia Miccoli, Berardina Nadja De Carolis, Giuseppe&nbsp;&nbsp;Palestra and Aurora Toma<\/td>\r\n    \t\t\t<td>Enhancing Digital Narrative Medicine through Emotion&nbsp;&nbsp;Analysis in Conversational Agents<\/td>\r\n    \t\t\t<td>Short Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Patrik Dokoupil and Ladislav Peska<\/td>\r\n    \t\t\t<td>Effects of Quantitative Explanations on Fairness Perception&nbsp;&nbsp;in Group Recommender Systems<\/td>\r\n    \t\t\t<td>Short Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Rafaella Sampaio de Alencar, Mehmet Arif Demirtas, Adittya&nbsp;&nbsp;Soukarjya Saha, Yang Shi and Peter Brusilovsky<\/td>\r\n    \t\t\t<td>Integrating Expert Knowledge With Automated Knowledge&nbsp;&nbsp;Component Extraction for Student Modeling<\/td>\r\n    \t\t\t<td>Short Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Royal Pathak and Francesca Spezzano<\/td>\r\n    \t\t\t<td>Circumventing Misinformation Controls: Assessing the&nbsp;&nbsp;Robustness of Intervention Strategies in Recommender Systems<\/td>\r\n    \t\t\t<td>Short Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Tzu-Yu Weng, Hanna Alzughbi, Isaac Rabago, Erin Ar\u00e9valo&nbsp;&nbsp;Chaves, Erik Vagil, Nancy Fulda, Erin Ash, Mainack Mondal,&nbsp;&nbsp;Bart Knijnenburg and Xinru Page<\/td>\r\n    \t\t\t<td>&quot;Strangers in a new culture see only what they know&#x27;&#x27;:&nbsp;&nbsp;Evaluating Effectiveness of GPT-4 Omni for Detecting&nbsp;&nbsp;Cross-Cultural Communication Norm Violations<\/td>\r\n    \t\t\t<td>Short Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Veronika Bogina, Arnon Hershkovitz and Noam Koenigstein<\/td>\r\n    \t\t\t<td>Unveiling Creativity in Student Code: A Gaussian Mixture&nbsp;&nbsp;Model Approach<\/td>\r\n    \t\t\t<td>Short Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Sebastian Lubos, Michael Gartner, Alexander Felfernig and&nbsp;&nbsp;Reinhard Willfort<\/td>\r\n    \t\t\t<td>Leveraging LLMs to Explain the Consequences of&nbsp;&nbsp;Recommendations<\/td>\r\n    \t\t\t<td>Short Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Giuseppe Spillo, Allegra De Filippo, Emanuele Fontana,&nbsp;&nbsp;Michela Milano and Giovanni Semeraro<\/td>\r\n    \t\t\t<td>Training Green and Sustainable Recommendation Models:&nbsp;&nbsp;Introducing Carbon Footprint Data into Early Stopping&nbsp;&nbsp;Criteria<\/td>\r\n    \t\t\t<td>Short Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Anna Hausberger, Emilia Parada-Cabaleiro and Markus Schedl<\/td>\r\n    \t\t\t<td>Why Context Matters: Exploring How Musical Context Impacts&nbsp;&nbsp;User Behavior, Mood, and Musical Preferences<\/td>\r\n    \t\t\t<td>Short Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Thomas Elmar Kolb, Irina Nalis-Neuner and Julia Neidhardt<\/td>\r\n    \t\t\t<td>Bridging Preferences: Multi-Stakeholder Insights on Ideal&nbsp;&nbsp;News Recommendations<\/td>\r\n    \t\t\t<td>Short Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Potito Aghilar, Vito Walter Anelli, Andrea Lops, Fedelucio Narducci, Azzurra Ragone, Sabino Roccotelli and Michelantonio Trizio<\/td>\r\n    \t\t\t<td>Adaptive User Modeling in Visual Merchandising: Balancing Brand Identity with Operational Efficiency<\/td>\r\n    \t\t\t<td>Industry Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Amit Jaspal and Rahul Agarwal<\/td>\r\n    \t\t\t<td>Finding Interest Needle in Popularity Haystack: Improving Retrieval by Modeling Item Exposure<\/td>\r\n    \t\t\t<td>Industry Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Sardar Hamidian, Mayur Nankani, Yejin Kim, Shaghayegh Agah, Neeraj Sharma, H. Howie Huang and Kevin Foley<\/td>\r\n    \t\t\t<td>Predicting Movie Hits Before They Happen with LLMs<\/td>\r\n    \t\t\t<td>Industry Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Anupam Agrawal, Jil Kothari, Siddhesh Chaubal and Palash Tatte<\/td>\r\n    \t\t\t<td>Enhancing Personalisation in Fantasy Sports with Graph-Based Representations<\/td>\r\n    \t\t\t<td>Industry Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Andrea Lops, Fedelucio Narducci, Azzurra Ragone and Michelantonio Trizio<\/td>\r\n    \t\t\t<td>Personalized Fashion Advertising with Large Language Models: A Case Study on Fine-Tuning for Marketing Copy Generation<\/td>\r\n    \t\t\t<td>Industry Papers<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Arsen Matej Golubovikj, Bruce Ferwerda, Alan Said and Marko Tkal\u010di\u010d<\/td>\r\n    \t\t\t<td>Soundtracks of Our Lives: How Age Influences Musical Preferences<\/td>\r\n    \t\t\t<td>LBR (Fast Track)<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Francesco Manco, Domenico Roberto, Marco Polignano and Giovanni Semeraro<\/td>\r\n    \t\t\t<td>JARVIS: Adaptive Dual-Hemisphere Architectures For Personalized Large Agentic Models<\/td>\r\n    \t\t\t<td>LBR (Fast Track)<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia and Eugenio Di Sciascio<\/td>\r\n    \t\t\t<td>Stealthy LLM-Driven Data Poisoning Attacks Against Embedding-Based Retrieval-Augmented Recommender Systems<\/td>\r\n    \t\t\t<td>LBR (Fast Track)<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Juan Ahmad, Jonas Hellgren and Alan Said<\/td>\r\n    \t\t\t<td>Tell Me the Good Stuff: User Preferences in Movie Recommendation Explanations<\/td>\r\n    \t\t\t<td>LBR (Fast Track)<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n                <td>Matej Scerba and Ladislav Peska<\/td>\r\n                <td>It's Time to Let Go: Stopping Criteria Recommendations in Content-rich Domains<\/td>\r\n                <td>LBR<\/td>\r\n            <\/tr>\r\n            <tr>\r\n                <td>Sebastian Lubos, Alexander Felfernig, Damian Garber, Viet Man Le, Manuel Henrich, Reinhard Willfort and Ivan Dukic<\/td>\r\n                <td>InteractiveReq: Enhancing Software Requirement Specification with Critiquing-based Recommender Systems<\/td>\r\n                <td>LBR<\/td>\r\n            <\/tr>\r\n            <tr>\r\n                <td>Styliani Kleanthous, Anthi Ioannou and Filippos Papandreou<\/td>\r\n                <td>Social Influence and the Perceived Fairness of Algorithmic Decisions: An Exploratory Study<\/td>\r\n                <td>LBR<\/td>\r\n            <\/tr>\r\n            <tr>\r\n                <td>Dario Di Palma, Giovanni Maria Biancofiore, Vito Walter Anelli, Fedelucio Narducci and Tommaso Di Noia<\/td>\r\n                <td>Content-Based or Collaborative? Insights from Inter-List Similarity Analysis of ChatGPT Recommendations<\/td>\r\n                <td>LBR<\/td>\r\n            <\/tr>\r\n            <tr>\r\n                <td>Michelle Brachman, Arielle Goldberg, Andrew Anderson, Stephanie Houde, Michael Muller and Justin Weisz<\/td>\r\n                <td>Towards Personalized and Contextualized Code Explanations<\/td>\r\n                <td>LBR<\/td>\r\n            <\/tr>\r\n            <tr>\r\n                <td>Esma Karahod\u017ea, Amra Deli? and Francesco Ricci<\/td>\r\n                <td>Conceptual Framework for Group Dynamics Modeling from Group Chat Interactions<\/td>\r\n                <td>LBR<\/td>\r\n            <\/tr>\r\n            <tr>\r\n                <td>Paolo Masciullo, Andrea Pazienza, Claudio Pomo, Fedelucio Narducci and Tommaso Di Noia<\/td>\r\n                <td>Enhancing News Recommendation Systems Using Multitask Learning<\/td>\r\n                <td>LBR<\/td>\r\n            <\/tr>\r\n            <tr>\r\n                <td>Gaetano Dibenedetto, Elio Musacchio, Marco Polignano and Pasquale Lops<\/td>\r\n                <td>Fine-Tuning Large Multimodal Models for Fitness Action Quality Assessment<\/td>\r\n                <td>LBR<\/td>\r\n            <\/tr>\r\n            <tr>\r\n                <td>Carolin Kaiser, Jakob Kaiser, Vladimir Manewitsch, Lea Rau and Rene Schallner<\/td>\r\n                <td>Simulating Human Opinions with Large Language Models - Opportunities and Challenges for Personalized Survey Data Modeling<\/td>\r\n                <td>LBR<\/td>\r\n            <\/tr>\r\n            <tr>\r\n                <td>Worm Alexanne, Florian Marchal and Sylvain Castagnos<\/td>\r\n                <td>BIRD: A Museum Open Dataset Combining Behavior Patterns and Identity Types to Better Model Visitors' Experience<\/td>\r\n                <td>LBR<\/td>\r\n            <\/tr>\r\n            <tr>\r\n                <td>Kayhan Latifzadeh and Luis A. Leiva<\/td>\r\n                <td>Thalamus: A User Simulation Toolkit for Prototyping Multimodal Sensing Studies<\/td>\r\n                <td>LBR<\/td>\r\n            <\/tr>\r\n            <tr>\r\n                <td>Qiming Sun and Sharon I-Han Hsiao<\/td>\r\n                <td>Human-AI Collaborated Ideation for Learning Reduce & Reuse Waste<\/td>\r\n                <td>LBR<\/td>\r\n            <\/tr>\r\n            <tr>\r\n                <td>Sofie Goethals, Johannes Luther and Sandra Matz<\/td>\r\n                <td>Words reveal wants: How well can simple LLM-based AI agents replicate people's choices based on their social media posts<\/td>\r\n                <td>LBR<\/td>\r\n            <\/tr>\r\n            <tr>\r\n                <td>Sushmita Khan, Mehtab Iqbal, Laila Shafiee, Aminata Ndiaye Mbodj and Bart Knijnenburg<\/td>\r\n                <td>Personalized Preference Profiles for Preference Discovery<\/td>\r\n                <td>LBR<\/td>\r\n            <\/tr>\r\n            <tr>\r\n                <td>Liuru Nan, Panote Siriaraya, Wan Jou She and Noriaki Kuwahara<\/td>\r\n                <td>The Kimono Era Has Long Passed: Generative AI-Assisted Reminiscence Therapy for Individuals with Late-Stage Dementia<\/td>\r\n                <td>LBR<\/td>\r\n            <\/tr>\r\n            <tr>\r\n                <td>Mubina Kamberovic, Amra Delic and Senka Krivic<\/td>\r\n                <td>Investigating AI in Programming Education: Self-Reported AI Usage, Individual Traits, and Learning Outcomes<\/td>\r\n                <td>LBR<\/td>\r\n            <\/tr>\r\n            <tr>\r\n                <td>Simone Prete, Giovanni Maria Biancofiore, Fedelucio Narducci, Eugenio Di Sciascio and Tommaso Di Noia<\/td>\r\n                <td>From Overall Sentiment to Aspect-Level Insights: A Pretraining Strategy for Unsupervised Aspect-based Sentiment Analysis<\/td>\r\n                <td>LBR<\/td>\r\n            <\/tr>\r\n            <tr>\r\n                <td>Bernhard Steindl, Thomas Elmar Kolb and Julia Neidhardt<\/td>\r\n                <td>Beyond Demographics: Evaluating News Recommender Systems Fairness Through Behavioural Communities<\/td>\r\n                <td>LBR<\/td>\r\n            <\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Victor Garcia<\/td>\r\n    \t\t\t<td>Towards Personalized Physiotherapy via Common Semantic Fusion: Multi-Modal Learning, Computer Vision and Empathetic NLP<\/td>\r\n    \t\t\t<td>Doctoral Symposium<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Dayris Rapado<\/td>\r\n    \t\t\t<td>Cognitive-Emotional Modeling and Hybrid Intelligence: A User-Centered Approach to Psychomotor Interventions in Active Aging<\/td>\r\n    \t\t\t<td>Doctoral Symposium<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Neeley Pate<\/td>\r\n    \t\t\t<td>Supporting User Information Processing Through Large Language Models Within the Political Sphere<\/td>\r\n    \t\t\t<td>Doctoral Symposium<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Massimo Donini<\/td>\r\n    \t\t\t<td>Investigating Speech and Multimedia Integration in Assistive Robots<\/td>\r\n    \t\t\t<td>Doctoral Symposium<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Fillipe Santos<\/td>\r\n    \t\t\t<td>Segment, Explain, Recommend: Advancing Conversational Recommender Systems with LLM Agents<\/td>\r\n    \t\t\t<td>Doctoral Symposium<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Linda Pigureddu<\/td>\r\n    \t\t\t<td>Just a Chill Robot. Strategies for relatable and personalized Assistive Robots for Autistic Children<\/td>\r\n    \t\t\t<td>Doctoral Symposium<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Mubina Kamberovic<\/td>\r\n    \t\t\t<td>AI-Assisted Learning<\/td>\r\n    \t\t\t<td>Doctoral Symposium<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Alessio Ferrato<\/td>\r\n    \t\t\t<td>Integrating Indoor Positioning, Recommendation, and Personalization to Enhance Museum Visitor Experiences<\/td>\r\n    \t\t\t<td>Doctoral Symposium<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Gregory LeMasurier<\/td>\r\n    \t\t\t<td>Enabling Novices to Diagnose Robot Failures by Aligning Users&#x27; Mental Models of Robots<\/td>\r\n    \t\t\t<td>Doctoral Symposium<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Mohammed Almutairi<\/td>\r\n    \t\t\t<td>Teaming in the AI Era: AI-Augmented Frameworks for Forming, Simulating, and Optimizing Human Teams.<\/td>\r\n    \t\t\t<td>Doctoral Symposium<\/td>\r\n    \t\t<\/tr>\r\n    \t\t<tr>\r\n    \t\t\t<td>Mahsa Nasri<\/td>\r\n    \t\t\t<td>Towards Intelligent VR Training: A Physiological Adaptation Framework for Cognitive Load and Stress Detection<\/td>\r\n    \t\t\t<td>Doctoral Symposium<\/td>\r\n    \t\t<\/tr>\r\n    \t<\/tbody>\r\n    <\/table>\r\n<\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a066df0 e-con-full e-flex e-con e-parent\" data-id=\"a066df0\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7b434a7 elementor-widget elementor-widget-spacer\" data-id=\"7b434a7\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div 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