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ORCID32nd UMAP 2024: Cagliari, Italy - Adjunct Publication
- Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, UMAP Adjunct 2024, Cagliari, Italy, July 1-4, 2024. ACM 2024
Tutorials
- Mahdis Saeedi
, Christine Wong, Hossein Fani:
Collaborative Team Recommendation for Skilled Users: Objectives, Techniques, and New Perspectives. - Ujwal Gadiraju, Kuldeep Yadav:
DECI: The 2nd Tutorial on Designing Effective Conversational Interfaces. - Miguel Portaz, Pablo Garcia, Rwitajit Majumdar, Olga C. Santos:
Mastering Mind and Movement. ACM UMAP 2024 Tutorial on Modeling Intelligent Psychomotor Systems (M3@ACM UMAP 2024). - Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca:
Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends. - Markus Schedl, Vito Walter Anelli, Elisabeth Lex:
Trustworthy User Modeling and Recommendation From Technical and Regulatory Perspectives.
Doctoral Consortium
- Ratan Sebastian:
Adaptive Search Support for Teachers in Lesson Planning. - Elaheh Jafari:
Balanced Explanations in Recommender Systems. - Maria Kasinidou:
Development of Personalised Educational Tools for AI Literacy Using Participatory Design. - Arsen Matej Golubovikj:
Improving Recommendations for Non-Mainstream Users by Addressing Subjective Item Views. - Sebastian Lubos:
Improving Recommender Systems with Large Language Models. - Uros Sergas:
Perspective Diversification News Recommender System. - Angelo Geninatti Cossatin:
Promoting Green Fashion Consumption in Recommender Systems. - Simone Ooms:
Promoting Mental Health of Adolescents with a Mild Intellectual Disability. - Adrienn Toth:
Toward privacy-focused personalization: Designing a learning experience to facilitate privacy-personalization trade-off.
Late-Breaking Results and Demos
- Sara Salimzadeh, Ujwal Gadiraju:
"DecisionTime": A Configurable Framework for Reproducible Human-AI Decision-Making Studies. - Francesco Barile, Federico Maria Cau, Nava Tintarev:
A Preliminary Analysis on Self and Peer Evaluation of Personality Models for Recommender Systems. - Aditya Bhattacharya, Simone Stumpf, Katrien Verbert:
An Explanatory Model Steering System for Collaboration between Domain Experts and AI. - Royal Pathak, Francesca Spezzano:
Analyzing the Interplay between Diversity of News Recommendations and Misinformation Spread in Social Media. - Kun Lin, Masoud Mansoury, Farzad Eskandanian, Milad Sabouri, Bamshad Mobasher:
Beyond Static Calibration: The Impact of User Preference Dynamics on Calibrated Recommendation. - Ana Henriques, Cristiana Pinheiro, Cristina P. Santos:
Combining Virtual Reality with a Biomechanical Model to Improve Parkinson's Movement: Solution Proposal and Reference Learning Data. - Chengyu Fan, Zaynab Tariq, Nafis Saadiq Bhuiyan, Michael G. Yankoski, Trenton W. Ford:
Comp-HuSim: Persistent Digital Personality Simulation Platform. - Nicolas Constantinides, Argyris Constantinides, Dimitrios Koukopoulos, Christos Fidas, Marios Belk:
CulturAI: Exploring Mixed Reality Art Exhibitions with Large Language Models for Personalized Immersive Experiences. - Lovis Bero Suchmann, Nicole C. Krämer, Jürgen Ziegler:
Dynamic Ridge Plot Sliders: Supporting Users' Understanding of the Item Space Structure and Feature Dependencies in Interactive Recommender Systems. - Benedikt Loepp, Jürgen Ziegler:
Exploring the Potential of Generative AI for Augmenting Choice-Based Preference Elicitation in Recommender Systems. - Berardina Nadja De Carolis, Giuseppe Palestra, Giovanna Castellano:
Exploring the Role of Empathy in Designing Social Robots for Elderly People. - Philipp Krieter, Patrick Zerrer, Cornelius Puschmann, Stephanie Geise:
Following Topics Across All Apps and Media Formats: Mobile Keyword Tracking as a Privacy-Friendly Data Source in Mobile Media Research. - Konstantin Kuznetsov, Sara-Jane Bittner, Abdulrahman Mohamed Selim, Michael Barz, Daniel Sonntag:
FormTwin: A Framework for Pen-based Data Collection. - Benedetta Matcovich, Cristina Gena, Fabiana Vernero:
How the personality and memory of a robot can influence user modeling in Human-Robot Interaction. - Abhishek Samanta, Hitesh Kotte, Patrick Handwerk, Khaleel Asyraaf Mat Sanusi, Mai Geisen, Milos Kravcik, Nghia Duong-Trung:
IMPECT-POSE: A Complete Front-end and Back-end Architecture for Pose Tracking and Feedback. - Bilal Mahmood, Mehdi Elahi, Samia Touileb, L'ubos Steskal, Christoph Trattner:
Incorporating Editorial Feedback in the Evaluation of News Recommender Systems. - Ifeoma Adaji, Peter Idoko, Mikhail Ola Adisa:
Insights from the Review of Apps that Influence Environmental Sustainability. - Stefan Lengauer, Lin Shao, Mariia Tytarenko, Manfred Klaffenböck, Tobias Schreck:
Interaction Visualization for Analysing and Improving User Models. - Ilkka Kaate, Joni Salminen, Soon-Gyo Jung, João M. Santos, Essi Häyhänen, Trang Xuan, Jinan Y. Azem, Bernard J. Jansen:
Modeling the New Modalities of Personas: How Do Users' Attributes Influence Their Perceptions and Use of Interactive Personas? - Bo Fu, Angelo Ryan Soriano, Kayla Chu, Peter Gatsby, Nicolas Guardado Guardado:
Modelling Visual Attention for Future Intelligent Flight Deck - A Case Study of Pilot Eye Tracking in Simulated Flight Takeoff. - Ine Coppens, Toon De Pessemier, Luc Martens:
Repeating my Workouts or Exploring new Activities? A Longitudinal Micro-Randomized User Study for Physical Activity Recommender Systems. - Siqian Zhao, Shaghayegh Sahebi:
Towards Multi-Objective Behavior and Knowledge Modeling in Students. - Sumit Srivastava, Mariët Theune, Alejandro Catalá, Chris Reed:
Trust in a Human-Computer Collaborative Task With or Without Lexical Alignment. - Adrienn Toth, Zsolt Abraham, Verena Zimmermann:
Understanding University Students' Concerns Regarding Automated Learning Assessment Tools.
cAESAR 2024: 5thWorkshop on Adapted intEraction with SociAl Robots
- Berardina Nadja De Carolis, Cristina Gena, Antonio Lieto, Silvia Rossi, Alessandra Sciutti:
5th Workshop on Adapted intEraction with SociAl Robots (cAESAR). - Rosanna Coccaro, Enrico Ferrentino, Antonio Parziale, Angelo Marcelli, Pasquale Chiacchio:
Achieving Kinetic Anthropomorphism in Robotic Precision Tasks. - Ilaria Consoli, Claudio Mattutino, Cristina Gena:
Children's Interpretation of Emotional Body Language Displayed by a Humanoid Robot: A Case Study. - Massimo Donini, Cristina Gena, Alessandro Mazzei, Irene Borgini, Matteo Nazzario:
Dynamic Personalization of Multimedia Content Based on User Model. - Alessandra Rossi, Silvia Rossi:
On the Way to a Transparent HRI. - Linda Pigureddu, Cristina Gena, Berardina Nadja De Carolis, Margherita Attanasio, Monica Mazza:
Robots to Make You Feel Good: Supporting Autistic Youths in Managing Medical Visit Challenges with Robot-Assisted Therapy.
CRUM 2024: 2ndWorkshop on Context Representation in User Modelling
- Dipto Barman, Jovan Jeromela, Alok Debnath, Marloes Vredenborg, Anouk van Kasteren, Judy Kay, Owen Conlan:
Second Workshop on Context Representation in User Modelling. - Laurens Rook, Markus Zanker, Dietmar Jannach:
Are We Losing Interest in Context-Aware Recommender Systems? - Jia Hua Jeng, Gloria Kasangu, Alain Starke, Christoph Trattner:
Emotional Reframing of Economic News using a Large Language Model.
ExUM 2024: 6thWorkshop on Explainable User Models and Personalised Systems
- Marco Polignano, Cataldo Musto, Amra Delic, Oana Inel, Amon Rapp, Giovanni Semeraro, Jürgen Ziegler:
ExUM 2024 - 6th Workshop on Explainable User Modeling and Personalised Systems. - Felix Scholz, Thomas Elmar Kolb, Julia Neidhardt:
Classifying User Roles in Online News Forums: A Model for User Interaction and Behavior Analysis. - Jovan Jeromela, Owen Conlan:
Devising Scrutable User Models for Time Management Assistants. - Rully Agus Hendrawan, Peter Brusilovsky, Arun Balajiee Lekshmi Narayanan, Jordan Barria-Pineda:
Explanations in Open User Models for Personalized Information Exploration. - Gaetano Dibenedetto, Marco Polignano, Pasquale Lops, Giovanni Semeraro:
Human Pose Estimation for Explainable Corrective Feedbacks in Office Spaces. - Sebastian Lubos, Thi Ngoc Trang Tran, Alexander Felfernig, Seda Polat Erdeniz, Viet-Man Le:
LLM-generated Explanations for Recommender Systems. - Alain Starke, Anders Sandvik Bremnes, Erik Knudsen, Damian Trilling, Christoph Trattner:
Perception versus Reality: Evaluating User Awareness of Political Selective Exposure in News Recommender Systems. - Ibrahim Al Hazwani, Tiantian Luo, Oana Inel, Francesco Ricci, Mennatallah El-Assady, Jürgen Bernard:
ScrollyPOI: A Narrative-Driven Interactive Recommender System for Points-of-Interest Exploration and Explainability. - Yuan Ma, Jürgen Ziegler:
The Effect of Proactive Cues on the Use of Decision Aids in Conversational Recommender Systems.
GMAP 2024: 3rdWorkshop on Group Modeling, Adaptation and Personalization
- Francesco Barile, Amra Delic, Ladislav Peska, Isabella Saccardi, Federica Lucia Vinella:
GMAP 2024: 3rd Workshop on Group Modeling, Adaptation and Personalization. - Francesco Barile, Federico Maria Cau, Nava Tintarev:
A Preliminary Study of the Impact of Personality on Satisfaction in Group Contexts. - Hanif Emamgholizadeh, Amra Delic, Francesco Ricci:
Anticipating Eating Preferences in Group Decision Making. - Blake Huebner, Thomas Elmar Kolb, Julia Neidhardt:
Evaluating Group Fairness in News Recommendations: A Comparative Study of Algorithms and Metrics. - Judith Masthoff, Isabella Saccardi:
Towards automated feedback to a team member on their performance. - Aayesha Aayesha, Muhammad Afzaal, Julia Neidhardt:
User Experience of Recommender System: A User Study of Social-aware Fashion Recommendations System.
HAAPIE 2024: 9th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments
- Panagiotis Germanakos, Vania Dimitrova, Ben Steichen, Bruce Ferwerda, Marko Tkalcic:
HAAPIE 2024: 9th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments. - Robin Cromjongh, Maria Mlocka, Almila Akdag, Judith Masthoff, Hanna Hauptmann:
Challenges and Strategies in Personalised Planning Support for University Students with Autism. - Kamil Akhuseyinoglu, Emma McDonald, Aleksandra Klasnja-Milicevic, Carrie Demmans Epp, Peter Brusilovsky:
Exploring Adaptive Social Comparison for Online Practice. - Miguel Portaz, Angeles Manjarrés Riesco, Olga C. Santos:
Harmonizing Ethical Principles: Feedback Generation Approaches in Modeling Human Factors for Assisted Psychomotor Systems. - Irina Nalis, Tobias Sippl, Thomas Elmar Kolb, Julia Neidhardt:
Navigating Serendipity - An Experimental User Study On The Interplay of Trust and Serendipity In Recommender Systems. - Awais Akbar, Owen Conlan:
Towards Integrating Human-in-the-loop Control in Proactive Intelligent Personalised Agents. - Hassan Soliman, Milos Kravcik, Nagasandeepa Basvoju, Patrick Jähnichen:
Using Large Language Models for Adaptive Dialogue Management in Digital Telephone Assistants.
HUMAD 2024: International Workshop on Human-Centered Modeling and Adaptation for Digital Transformation
- Simone Balloccu, Alessandro Sebastian Podda, Livio Pompianu, Roberto Saia, Angelo Antonio Salatino:
HUMAD 2024: International Workshop on Human-Centered Modeling and Adaptation for Digital Transformation. - Silvia Maria Massa, Eleonora Porcu, Daniele Riboni:
An Initial Investigation of Mental Well-being Monitoring through Personal Healthcare Devices. - Lodovica Marchesi, Maria Ilaria Lunesu, Roberto Tonelli:
Blockchain Technology for Certifying Waste Management within the digital transformation for industry and SME. - Vanni Zavarella, Diego Reforgiato Recupero, Sergio Consoli, Gianni Fenu:
Charting the Landscape of Digital Health: Towards A Knowledge Graph Approach to News Media Analysis. - Paola Busia, Claudio Marche, Paolo Meloni, Diego Reforgiato Recupero:
Design of an AI-driven Architecture with Cobots for Digital Transformation to Enhance Quality Control in the Food Industry. - Silvio Barra, Ferdinando D'Alessandro, Oleksandr Sosovskyy:
Exploring Architectural Choices and Emerging Challenges in Data Management for IoT: A Focus on Digital Innovation and Smart Cities. - Stephanie Elena Crowe, Bahareh Shahri, Thammathip Piumsomboon, Simon Hoermann, Annalu Waller:
Modelling Patient-Therapist Collaboration for Brain Injury Rehabilitation in Virtual Reality. - Igor Matias, Farhat-ul-Ain, Darina Akhmetzyanova, Vladimir Tomberg:
Modelling Users for User Modelling: Dynamic Personas for Improved Personalisation in Digital Behaviour Change. - Salvatore Carta, Modesto Castrillón Santana, Mirko Marras, Sondos Mohamed, Alessandro Sebastian Podda, Roberto Saia, Marco Sau, Walter Zimmer:
RoadSense3D: A Framework for Roadside Monocular 3D Object Detection. - Salvatore Carta, Alessandro Giuliani, Marco Manolo Manca, Leonardo Piano, Livio Pompianu, Sandro Gabriele Tiddia:
Towards Knowledge Graph Refinement: Misdirected Triple Identification. - Salvatore Carta, Alessandro Giuliani, Marco Manolo Manca, Leonardo Piano, Sandro Gabriele Tiddia:
Towards Zero-shot Knowledge Graph building: Automated Schema Inference.
PATCH 2024: 15th International Workshop on Personalized Access to Cultural Heritage
- Liliana Ardissono, Tsvi Kuflik, Noemi Mauro, George Raptis, Alan J. Wecker:
15th International Workshop on Personalized Access to Cultural Heritage (PATCH 2024). - Alessio Ferrato, Carla Limongelli, Mauro Mezzini, Giuseppe Sansonetti, Alessandro Micarelli:
Artwork Segmentation in Eye-Tracking Experiments: Challenges and Future Directions. - Liliana Ardissono, Vincenzo Lombardo, Diego Magro, Noemi Mauro, Andrea Nasi, Livio Scarpinati, Silvio Alovisio, Luca Mazzei:
Exploring the Cultural Heritage of a Territory through the Cinematography Production. - Ashmi Banerjee, Tunar Mahmudov, Wolfgang Wörndl:
Green Destination Recommender: A Web Application to Encourage Responsible City Trip Recommendations. - Noemi Mauro, Livio Scarpinati, Fabio Ferrero, Angelo Geninatti Cossatin, Claudio Mattutino:
Point-of-Interest Recommender Systems: Nudging towards Sustainable Tourism. - Rotem Dror, Daniel Hutchinson, Mason Jones, Victoria Van Hyning, Tsvi Kuflik:
The Curator's Helper. - Filippos Panos, George E. Raptis, Christina Katsini, Christos Katsanos:
Towards Identifying Visitor Types in Virtual Museums Using Spatial and Interaction Data.
UCAI 2024: Workshop on User-Centered Artificial Intelligence
- Daniel Buschek, Julian Frommel, Hanna Hauptmann, Hendrik Heuer, Aletta Smits:
UCAI 2024: Workshop on User-Centered Artificial Intelligence. - Aditya Bhattacharya, Katrien Verbert:
"How Good Is Your Explanation?": Towards a Standardised Evaluation Approach for Diverse XAI Methods on Multiple Dimensions of Explainability. - Aditya Bhattacharya, Simone Stumpf, Katrien Verbert:
Representation Debiasing of Generated Data Involving Domain Experts. - Simone Stumpf, Evdoxia Taka, Yuri Nakao, Lin Luo, Ryosuke Sonoda, Takuya Yokota:
The Need for User-centred Assessment of AI Fairness and Correctness. - Agorakis Bompotas, Panagiotis Triantafyllopoulos, George E. Raptis, Christina Katsini, Christos Makris:
Towards Exploring Personalized Hyperlink Recommendations Through Machine Learning.
UKDE 2024: 1st InternationalWorkshop on User-Centered Practices of Knowledge Discovery in Educational Data
- Francesca Maridina Malloci, Paola Mejia, Agathe Merceron, Anna Monreale, Daniela Rotelli:
1st International Workshop on User-Centered Practices of Knowledge Discovery in Educational Data. - Leona Colling, Mareike Kholin, Detmar Meurers:
A Learning Analytics Dashboard for K-12 English Teachers - Bridging the Gap Between Student Process Data and Teacher Needs. - Dario Di Dario, Viviana Pentangelo, Maria Immacolata Colella, Fabio Palomba, Carmine Gravino:
Collecting and Implementing Ethical Guidelines for Emotion Recognition in an Educational Metaverse. - Gianni Fenu, Roberta Galici, Mirko Marras, Diego Reforgiato Recupero:
Exploring Student Interactions with AI in Programming Training. - Duaa Baig, Diana Nurbakova, Baba Mbaye, Sylvie Calabretto:
Knowledge Graph-Based Recommendation System for Personalized E-Learning. - Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras, Andrea Giovanni Martis:
Learner-centered Ontology for Explainable Educational Recommendation. - Diana Domenichini, Filippo Chiarello, Vito Giordano, Gualtiero Fantoni:
LLMs for Knowledge Modeling: NLP Approach to Constructing User Knowledge Models for Personalized Education. - Giorgio Biancini, Alessio Ferrato, Carla Limongelli:
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights. - Rawaa Alatrash, Mohamed Amine Chatti, Qurat Ul Ain, Shoeb Ahmed Joarder:
Transparent Learner Knowledge State Modeling using Personal Knowledge Graphs and Graph Neural Networks.
WeBIUM 2024: 1stWorkshop onWearable Devices and Brain-Computer Interfaces for User Modelling
- Tommaso Colafiglio, Tommaso Di Noia, Domenico Lofù, Angela Lombardi, Fedelucio Narducci, Paolo Sorino:
Wearable Devices and Brain-Computer Interfaces for User Modelling (WeBIUM). - Paolo Sorino, Giovanni Maria Biancofiore, Domenico Lofù, Tommaso Colafiglio, Angela Lombardi, Fedelucio Narducci, Tommaso Di Noia:
ARIEL: Brain-Computer Interfaces meet Large Language Models for Emotional Support Conversation. - Kamlesh Kumar, Yuhao Chen, Boyi Hu, Yue Luo:
Assessing Human Visual Attention in Retail Human-Robot Interaction: A YOLOv8-Nano and Eye-Tracking Approach. - Tommaso Colafiglio, Domenico Lofù, Paolo Sorino, Angela Lombardi, Fedelucio Narducci, Fabrizio Festa, Tommaso Di Noia:
EmoSynth Real Time Emotion-Driven Sound Texture Synthesis via Brain-Computer Interface. - Sofia Mongardi, Pietro Pinoli:
Exploring Federated Learning for Emotion Recognition on Brain-Computer Interfaces. - Angela Lombardi, Sofia Marzo, Tommaso Di Noia, Eugenio Di Sciascio, Carmelo Ardito:
Exploring the Usability and Trustworthiness of AI-Driven User Interfaces for Neurological Diagnosis.
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