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ORCID28th UMAP 2020: Genoa, Italy
- Tsvi Kuflik, Ilaria Torre, Robin Burke, Cristina Gena:
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2020, Genoa, Italy, July 12-18, 2020. ACM 2020, ISBN 978-1-4503-6861-2
Keynote Talks
- Cristina Conati:
The Eyes Are the Windows to the Mind: Implications for AI-Driven Personalized Interaction. 1 - Kori Inkpen:
Does My AI Help or Hurt? Exploring Human-AI Complementarity. 2 - Giorgio Metta:
Physical and Social Human-robot Interaction. 3
Full Papers
- Patrícia Alves
, Pedro M. Saraiva, João Carneiro, Pedro Campos, Helena Martins, Paulo Novais, Goreti Marreiros:
Modeling Tourists' Personality in Recommender Systems: How Does Personality Influence Preferences for Tourist Attractions? 4-13 - Alisha Banskota, Yiu-Kai Ng:
Recommending Video Games to Adults with Autism Spectrum Disorder for Social-Skill Enhancement. 14-22 - Michael Barz, Kristin Altmeyer, Sarah Malone, Luisa Lauer, Daniel Sonntag:
Digital Pen Features Predict Task Difficulty and User Performance of Cognitive Tests. 23-32 - Wanling Cai, Li Chen:
Predicting User Intents and Satisfaction with Dialogue-based Conversational Recommendations. 33-42 - Argyris Constantinides, Anna Maria Pietron, Marios Belk, Christos Fidas, Ting Han, Andreas Pitsillides:
A Cross-cultural Perspective for Personalizing Picture Passwords. 43-52 - Bernd Dudzik, Hayley Hung, Mark A. Neerincx, Joost Broekens:
Investigating the Influence of Personal Memories on Video-Induced Emotions. 53-61 - Andrew Emerson, Michael Geden, Andy Smith, Eric N. Wiebe, Bradford W. Mott, Kristy Elizabeth Boyer, James C. Lester:
Predictive Student Modeling in Block-Based Programming Environments with Bayesian Hierarchical Models. 62-70 - Farzad Eskandanian, Bamshad Mobasher:
Using Stable Matching to Optimize the Balance between Accuracy and Diversity in Recommendation. 71-79 - Guglielmo Faggioli, Mirko Polato, Fabio Aiolli:
Recency Aware Collaborative Filtering for Next Basket Recommendation. 80-87 - Nico Herbig, Tim Düwel, Mossad Helali, Lea Eckhart, Patrick Schuck, Subhabrata Choudhury, Antonio Krüger:
Investigating Multi-Modal Measures for Cognitive Load Detection in E-Learning. 88-97 - Oana Inel, Nava Tintarev, Lora Aroyo:
Eliciting User Preferences for Personalized Explanations for Video Summaries. 98-106 - Matthias Kraus, Nicolas Wagner, Wolfgang Minker:
Effects of Proactive Dialogue Strategies on Human-Computer Trust. 107-116 - Thomas Kundinger, Andreas Riener:
The Potential of Wrist-Worn Wearables for Driver Drowsiness Detection: A Feasibility Analysis. 117-125 - Johannes Kunkel, Claudia Schwenger, Jürgen Ziegler:
NewsViz: Depicting and Controlling Preference Profiles Using Interactive Treemaps in News Recommender Systems. 126-135 - Monica Landoni, Maria Soledad Pera, Emiliana Murgia, Theo Huibers:
Inside Out: Exploring the Emotional Side of Search Engines in the Classroom. 136-144 - Feng Lu, Anca Dumitrache, David Graus:
Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation. 145-153 - Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke:
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems. 154-162 - Noemi Mauro, Liliana Ardissono, Federica Cena:
Personalized Recommendation of PoIs to People with Autism. 163-172 - Martijn Millecamp, Nyi Nyi Htun, Cristina Conati, Katrien Verbert:
What's in a User? Towards Personalising Transparency for Music Recommender Interfaces. 173-182 - Thao Ngo, Johannes Kunkel, Jürgen Ziegler:
Exploring Mental Models for Transparent and Controllable Recommender Systems: A Qualitative Study. 183-191 - Alessio Palmero Aprosio, Stefano Menini, Sara Tonelli:
Adaptive Complex Word Identification through False Friend Detection. 192-200 - Zacharoula K. Papamitsiou, Kshitij Sharma, Michail N. Giannakos:
On the Dependence Structure Between Learners' Response-time and Knowledge Mastery: If Not Linear, Then What? 201-210 - So Young Rhim, Uichin Lee, Kyungsik Han:
Tracking and Modeling Subjective Well-Being Using Smartphone-Based Digital Phenotype. 211-220 - Ralph Samer, Martin Stettinger, Alexander Felfernig:
Group Recommender User Interfaces for Improving Requirements Prioritization. 221-229 - Mete Sertkan, Julia Neidhardt, Hannes Werthner:
Eliciting Touristic Profiles: A User Study on Picture Collections. 230-238 - Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher:
Opportunistic Multi-aspect Fairness through Personalized Re-ranking. 239-247 - Yuan Tian, Ke Zhou, Mounia Lalmas, Yiqun Liu, Dan Pelleg:
Cohort Modeling Based App Category Usage Prediction. 248-256 - Matthias Wölbitsch, Thomas Hasler, Simon Walk, Denis Helic:
Mind the Gap: Exploring Shopping Preferences Across Fashion Retail Channels. 257-265 - Ningxia Wang, Li Chen, Yonghua Yang:
The Impacts of Item Features and User Characteristics on Users' Perceived Serendipity of Recommendations. 266-274 - Sebastian Zepf, Neska El Haouij, Jinmo Lee, Asma Ghandeharioun, Javier Hernandez, Rosalind W. Picard:
Studying Personalized Just-in-time Auditory Breathing Guides and Potential Safety Implications during Simulated Driving. 275-283 - Guojing Zhou, Xi Yang, Hamoon Azizsoltani, Tiffany Barnes, Min Chi:
Improving Student-System Interaction Through Data-driven Explanations of Hierarchical Reinforcement Learning Induced Pedagogical Policies. 284-292
Short Papers
- Fabio Colella, Pedram Daee, Jussi Jokinen, Antti Oulasvirta, Samuel Kaski:
Human Strategic Steering Improves Performance of Interactive Optimization. 293-297 - Hendrik Heuer, Andreas Breiter:
More Than Accuracy: Towards Trustworthy Machine Learning Interfaces for Object Recognition. 298-302 - Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia:
An Exploratory Study on Techniques for Quantitative Assessment of Stroke Rehabilitation Exercises. 303-307 - Roy Ka-Wei Lee, Thong Hoang, Richard Jayadi Oentaryo, David Lo:
Keen2Act: Activity Recommendation in Online Social Collaborative Platforms. 308-312 - Alessandro B. Melchiorre, Markus Schedl:
Personality Correlates of Music Audio Preferences for Modelling Music Listeners. 313-317 - Yitong Meng, Xiao Yan, Weiwen Liu, Huanhuan Wu, James Cheng:
Wasserstein Collaborative Filtering for Item Cold-start Recommendation. 318-322 - Martijn Millecamp, Robin Haveneers, Katrien Verbert:
Cogito ergo quid? The Effect of Cognitive Style in a Transparent Mobile Music Recommender System. 323-327 - Ekaterina Muravyeva, José Janssen, Kim Dirkx, Marcus Specht:
The Role of Trust in Personal Data Sharing in the Context of e-Assessment and the Moderating Effect of Special Educational Needs. 328-332 - Cataldo Musto, Christoph Trattner, Alain Starke, Giovanni Semeraro:
Towards a Knowledge-aware Food Recommender System Exploiting Holistic User Models. 333-337 - Esteban A. Ríssola, Seyed Ali Bahrainian, Fabio Crestani:
A Dataset for Research on Depression in Social Media. 338-342 - Ben Steichen, Carla Castillo, Kevin Scroggins:
Personalized Multilingual Search - Predicting Search Result List Language Preferences. 343-347 - Ben Steichen, Bo Fu, Tho Nguyen:
Inferring Cognitive Style from Eye Gaze Behavior During Information Visualization Usage. 348-352 - Sergio Torrijos, Alejandro Bellogín, Pablo Sánchez:
Discovering Related Users in Location-based Social Networks. 353-357 - Yutaro Ueoka, Kota Tsubouchi, Nobuyuki Shimizu:
Tackling Cannibalization Problems for Online Advertisement. 358-362 - Zheng Yuan, Doug Downey:
Practical Methods for Semi-automated Peer Grading in a Classroom Setting. 363-367
Doctoral Consortium
- Mohammed Alhamadi:
Challenges, Strategies and Adaptations on Interactive Dashboards. 368-371 - Jawwad Baig:
A Personalised Intervention Model for Improving the Effectiveness of Driving-Behaviour Apps. 372-375 - Jordan Barria-Pineda:
Exploring the Need for Transparency in Educational Recommender Systems. 376-379 - Alexandru Bundea:
Developing a Patient-Therapist-Robot User Model for Motivation in Neurorehabilitation Therapies. 380-383 - Andrej Vítek:
Cross-Game Modeling of Player's Behaviour in Free-To-Play Games. 384-387
Tutorial Overviews
- Ludovico Boratto, Mirko Marras:
Hands on Data and Algorithmic Bias in Recommender Systems. 388-389 - Jim Tørresen:
Ethical Considerations in User Modeling and Personalization: ACM UMAP 2020 Tutorial. 390-391 - Flavian Vasile, David Rohde, Olivier Jeunen, Amine Benhalloum:
A Gentle Introduction to Recommendation as Counterfactual Policy Learning. 392-393 - Stephan Weibelzahl, Alexandros Paramythis, Judith Masthoff:
Evaluation of Adaptive Systems. 394-395
Workshop Summary
- Liliana Ardissono, Noemi Mauro, George E. Raptis, Alan J. Wecker:
Workshop on Personalized Access to Cultural Heritage: PATCH'20. 396-397 - Marios Belk, Christos Fidas, Juliana Bowles, Elias Athanasopoulos, Andreas Pitsillides:
APPS 2020: Second International Workshop on Adaptive and Personalized Privacy and Security. 398-399 - Giorgio Delzanno, Giovanna Guerrini, Daniele Traversaro:
Adaptation and Personalization in Computer Science Education: APCSE '20. 400-401 - Panagiotis Germanakos, Vania Dimitrova, Ben Steichen, Alicja Piotrkowicz:
HAAPIE 2020: 5th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments. 402-403 - Bamshad Mobasher, Styliani Kleanthous, Michael D. Ekstrand, Bettina Berendt, Jahna Otterbacher, Avital Shulner-Tal:
FairUMAP 2020: The 3rd Workshop on Fairness in User Modeling, Adaptation and Personalization. 404-405 - Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler:
Workshop on Explainable User Models and Personalized Systems (ExUM 2020). 406-407
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