UMAP A

65 papers

YearTitle / Authors
2020A Cross-cultural Perspective for Personalizing Picture Passwords.
Argyris Constantinides, Anna Maria Pietron, Marios Belk, Christos Fidas, Ting Han, Andreas Pitsillides
2020A Dataset for Research on Depression in Social Media.
Esteban A. Ríssola, Seyed Ali Bahrainian, Fabio Crestani
2020A Gentle Introduction to Recommendation as Counterfactual Policy Learning.
Flavian Vasile, David Rohde, Olivier Jeunen, Amine Benhalloum
2020A Personalised Intervention Model for Improving the Effectiveness of Driving-Behaviour Apps.
Jawwad Baig
2020APPS 2020: Second International Workshop on Adaptive and Personalized Privacy and Security.
Marios Belk, Christos Fidas, Juliana Bowles, Elias Athanasopoulos, Andreas Pitsillides
2020Adaptation and Personalization in Computer Science Education: APCSE '20.
Giorgio Delzanno, Giovanna Guerrini, Daniele Traversaro
2020Adaptive Complex Word Identification through False Friend Detection.
Alessio Palmero Aprosio, Stefano Menini, Sara Tonelli
2020An Exploratory Study on Techniques for Quantitative Assessment of Stroke Rehabilitation Exercises.
Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia
2020Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation.
Feng Lu, Anca Dumitrache, David Graus
2020Challenges, Strategies and Adaptations on Interactive Dashboards.
Mohammed Alhamadi
2020Cogito ergo quid? The Effect of Cognitive Style in a Transparent Mobile Music Recommender System.
Martijn Millecamp, Robin Haveneers, Katrien Verbert
2020Cohort Modeling Based App Category Usage Prediction.
Yuan Tian, Ke Zhou, Mounia Lalmas, Yiqun Liu, Dan Pelleg
2020Cross-Game Modeling of Player's Behaviour in Free-To-Play Games.
Andrej Vítek
2020Developing a Patient-Therapist-Robot User Model for Motivation in Neurorehabilitation Therapies.
Alexandru Bundea
2020Digital Pen Features Predict Task Difficulty and User Performance of Cognitive Tests.
Michael Barz, Kristin Altmeyer, Sarah Malone, Luisa Lauer, Daniel Sonntag
2020Discovering Related Users in Location-based Social Networks.
Sergio Torrijos, Alejandro Bellogín, Pablo Sánchez
2020Does My AI Help or Hurt? Exploring Human-AI Complementarity.
Kori Inkpen
2020Effects of Proactive Dialogue Strategies on Human-Computer Trust.
Matthias Kraus, Nicolas Wagner, Wolfgang Minker
2020Eliciting Touristic Profiles: A User Study on Picture Collections.
Mete Sertkan, Julia Neidhardt, Hannes Werthner
2020Eliciting User Preferences for Personalized Explanations for Video Summaries.
Oana Inel, Nava Tintarev, Lora Aroyo
2020Ethical Considerations in User Modeling and Personalization: ACM UMAP 2020 Tutorial.
Jim Tørresen
2020Evaluation of Adaptive Systems.
Stephan Weibelzahl, Alexandros Paramythis, Judith Masthoff
2020Exploring Mental Models for Transparent and Controllable Recommender Systems: A Qualitative Study.
Thao Ngo, Johannes Kunkel, Jürgen Ziegler
2020Exploring the Need for Transparency in Educational Recommender Systems.
Jordan Barria-Pineda
2020FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems.
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
2020FairUMAP 2020: The 3rd Workshop on Fairness in User Modeling, Adaptation and Personalization.
Bamshad Mobasher, Styliani Kleanthous, Michael D. Ekstrand, Bettina Berendt, Jahna Otterbacher, Avital Shulner-Tal
2020Group Recommender User Interfaces for Improving Requirements Prioritization.
Ralph Samer, Martin Stettinger, Alexander Felfernig
2020HAAPIE 2020: 5th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments.
Panagiotis Germanakos, Vania Dimitrova, Ben Steichen, Alicja Piotrkowicz
2020Hands on Data and Algorithmic Bias in Recommender Systems.
Ludovico Boratto, Mirko Marras
2020Human Strategic Steering Improves Performance of Interactive Optimization.
Fabio Colella, Pedram Daee, Jussi Jokinen, Antti Oulasvirta, Samuel Kaski
2020Improving Student-System Interaction Through Data-driven Explanations of Hierarchical Reinforcement Learning Induced Pedagogical Policies.
Guojing Zhou, Xi Yang, Hamoon Azizsoltani, Tiffany Barnes, Min Chi
2020Inferring Cognitive Style from Eye Gaze Behavior During Information Visualization Usage.
Ben Steichen, Bo Fu, Tho Nguyen
2020Inside Out: Exploring the Emotional Side of Search Engines in the Classroom.
Monica Landoni, Maria Soledad Pera, Emiliana Murgia, Theo Huibers
2020Investigating Multi-Modal Measures for Cognitive Load Detection in E-Learning.
Nico Herbig, Tim Düwel, Mossad Helali, Lea Eckhart, Patrick Schuck, Subhabrata Choudhury, Antonio Krüger
2020Investigating the Influence of Personal Memories on Video-Induced Emotions.
Bernd Dudzik, Hayley Hung, Mark A. Neerincx, Joost Broekens
2020Keen2Act: Activity Recommendation in Online Social Collaborative Platforms.
Roy Ka-Wei Lee, Thong Hoang, Richard Jayadi Oentaryo, David Lo
2020Mind the Gap: Exploring Shopping Preferences Across Fashion Retail Channels.
Matthias Wölbitsch, Thomas Hasler, Simon Walk, Denis Helic
2020Modeling Tourists' Personality in Recommender Systems: How Does Personality Influence Preferences for Tourist Attractions?
Patrícia Alves, Pedro M. Saraiva, João Carneiro, Pedro Campos, Helena Martins, Paulo Novais, Goreti Marreiros
2020More Than Accuracy: Towards Trustworthy Machine Learning Interfaces for Object Recognition.
Hendrik Heuer, Andreas Breiter
2020NewsViz: Depicting and Controlling Preference Profiles Using Interactive Treemaps in News Recommender Systems.
Johannes Kunkel, Claudia Schwenger, Jürgen Ziegler
2020On the Dependence Structure Between Learners' Response-time and Knowledge Mastery: If Not Linear, Then What?
Zacharoula K. Papamitsiou, Kshitij Sharma, Michail N. Giannakos
2020Opportunistic Multi-aspect Fairness through Personalized Re-ranking.
Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher
2020Personality Correlates of Music Audio Preferences for Modelling Music Listeners.
Alessandro B. Melchiorre, Markus Schedl
2020Personalized Multilingual Search - Predicting Search Result List Language Preferences.
Ben Steichen, Carla Castillo, Kevin Scroggins
2020Personalized Recommendation of PoIs to People with Autism.
Noemi Mauro, Liliana Ardissono, Federica Cena
2020Physical and Social Human-robot Interaction.
Giorgio Metta
2020Practical Methods for Semi-automated Peer Grading in a Classroom Setting.
Zheng Yuan, Doug Downey
2020Predicting User Intents and Satisfaction with Dialogue-based Conversational Recommendations.
Wanling Cai, Li Chen
2020Predictive Student Modeling in Block-Based Programming Environments with Bayesian Hierarchical Models.
Andrew Emerson, Michael Geden, Andy Smith, Eric N. Wiebe, Bradford W. Mott, Kristy Elizabeth Boyer, James C. Lester
2020Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2020, Genoa, Italy, July 12-18, 2020
Tsvi Kuflik, Ilaria Torre, Robin Burke, Cristina Gena
2020Recency Aware Collaborative Filtering for Next Basket Recommendation.
Guglielmo Faggioli, Mirko Polato, Fabio Aiolli
2020Recommending Video Games to Adults with Autism Spectrum Disorder for Social-Skill Enhancement.
Alisha Banskota, Yiu-Kai Ng
2020Studying Personalized Just-in-time Auditory Breathing Guides and Potential Safety Implications during Simulated Driving.
Sebastian Zepf, Neska El Haouij, Jinmo Lee, Asma Ghandeharioun, Javier Hernandez, Rosalind W. Picard
2020Tackling Cannibalization Problems for Online Advertisement.
Yutaro Ueoka, Kota Tsubouchi, Nobuyuki Shimizu
2020The Eyes Are the Windows to the Mind: Implications for AI-Driven Personalized Interaction.
Cristina Conati
2020The Impacts of Item Features and User Characteristics on Users' Perceived Serendipity of Recommendations.
Ningxia Wang, Li Chen, Yonghua Yang
2020The Potential of Wrist-Worn Wearables for Driver Drowsiness Detection: A Feasibility Analysis.
Thomas Kundinger, Andreas Riener
2020The Role of Trust in Personal Data Sharing in the Context of e-Assessment and the Moderating Effect of Special Educational Needs.
Ekaterina Muravyeva, José Janssen, Kim Dirkx, Marcus Specht
2020Towards a Knowledge-aware Food Recommender System Exploiting Holistic User Models.
Cataldo Musto, Christoph Trattner, Alain Starke, Giovanni Semeraro
2020Tracking and Modeling Subjective Well-Being Using Smartphone-Based Digital Phenotype.
So Young Rhim, Uichin Lee, Kyungsik Han
2020Using Stable Matching to Optimize the Balance between Accuracy and Diversity in Recommendation.
Farzad Eskandanian, Bamshad Mobasher
2020Wasserstein Collaborative Filtering for Item Cold-start Recommendation.
Yitong Meng, Xiao Yan, Weiwen Liu, Huanhuan Wu, James Cheng
2020What's in a User? Towards Personalising Transparency for Music Recommender Interfaces.
Martijn Millecamp, Nyi Nyi Htun, Cristina Conati, Katrien Verbert
2020Workshop on Explainable User Models and Personalized Systems (ExUM 2020).
Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler
2020Workshop on Personalized Access to Cultural Heritage: PATCH'20.
Liliana Ardissono, Noemi Mauro, George E. Raptis, Alan J. Wecker