Accepted Papers

Accepted Papers

  • Long papers
  • Short papers
  • Extended abstracts
  • Accepted Theory, Opinion and Reflection Papers
  • Accepted Late-Breaking Results Papers
  • Free access to the conference papers maintained in the ACM DL: proceedings, adjunct publication.



    Accepted Long Papers
  • Scafolding for an OLM for long term physical activity goals
        Lie Ming Tang (The University of Sydney); Judy Kay (The University of Sydney)

  • Exploring Adaptive Strategies for Providing Learning Activities
        Xingliang Chen (University of Canterbury); Antonija Mitrovic (Intelligent Computer Tutoring Group, University of Canterbury, Christchurch); Moffat Mathews (Computer Science & Software Engineering, University of Canterbury, Christchurch)

  • Easy to Please: Separating User Experience from Choice Satisfaction
        James Schaffer (US Army Research Laboratory); John O'Donovan (University of California Santa Barbara); Tobias Höllerer (University of California Santa Barbara)

  • Controlling Spotify Recommendations: Effects of Personal Characteristics on Music Recommender User Interfaces
        Martijn Millecamp (Katholieke Universiteit Leuven); Nyi Nyi Htun (Katholieke Universiteit Leuven); Yucheng Jin (Katholieke Universiteit Leuven); Katrien Verbert (Katholieke Universiteit Leuven)

  • Predict Demographic Information Using Word2vec on Spatial Trajectories
        Adir Solomon (Ben-Gurion University of the); Ariel Bar (Ben-Gurion University of the Negev); Chen Yanai (Ben-Gurion University of the Negev); Bracha Shapira (Ben-Gurion University of the Negev); Lior Rokach (Ben Gurion University)

  • Effects of Individual Traits on Diversity-aware Music Recommender User Interfaces
        Yucheng Jin (Katholieke Universiteit Leuven); Nava Tintarev (Delft University of Technology); Katrien Verbert (Katholieke Universiteit Leuven)

  • How to Use Social Relationships in Group Recommenders: Empirical Evidence
        Amra Delic (Vienna University of Technology); Judith Masthoff (University of Aberdeen); Julia Neidhardt (Vienna University of Technology); Hannes Werthner (Vienna University of Technology)

  • Co-embeddings for student modeling in virtual learning environments
        Milagro Teruel (Universidad Nacional de Córdoba); Laura Alonso Alemany (Universidad Nacional de Córdoba)

  • Incorporating Constraints into Matrix Factorization for Clothes Package Recommendation
        Agung T Wibowo (University of Aberdeen); Advaith Siddharthan (The Open University); Judith Masthoff (University of Aberdeen); Chenghua Lin (Department of Computing Science, University of Aberdeen)

  • A Framework for Interaction-driven User Modeling of Mobile News Reading Behaviour
        Marios Constantinides (University College London); John Dowell (University College London)

  • Explanations that are Intrinsic to Recommendations
        Arpit Rana (Insight Centre for Data Analytics, University College Cork); Derek Bridge (Insight Centre for Data Analytics, University College Cork)

  • PACELA: A Neural Framework for User Visitation in Location-based Social Networks
        Thanh-Nam Doan (Singapore Management University); Ee-Peng Lim (Singapore Management University)

  • Improving Learning & Reducing Time: A Constrained Action-Based Reinforcement Learning Approach
        Shitian Shen (North Carolina State University); Markel Sanz Ausin (North Carolina State University); Behrooz Mostafavi (North Carolina State University); Min Chi (North Carolina State University)

  • Kindness is Contagious: Study into Exploring Engagement and Adapting Perusasive Games for Wellbeing
        Ana Ciocarlan (University of Aberdeen); Judith Masthoff (University of Aberdeen); Nir Oren (University of Aberdeen)

  • Intent-aware Item-based Collaborative Filtering for Personalised Diversification
        Jacek Wasilewski (Insight Centre for Data Analytics); Neil Hurley (Insight Centre for Data Analytics)

  • Collaborative Filtering with Behavioral Models
        Dusan Sovilj (University of Toronto); Harold Soh (National University of Singapore); Scott Sanner (University of Toronto); Hanze Li (University of Toronto)

  • Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels
        Lukas Galke (Kiel University); Florian Mai (Christian-Albrechts-University Kiel); Iacopo Vagliano (ZBW -- Leibniz Information Centre for Economics); Ansgar Scherp (Kiel University and ZBW -- Leibniz Information Center for Economics, Kiel, Germany)

  • ReEL: Review aware Explanation of Location Recommendation
        Ramesh Baral (Florida International University); Tao Li (Florida International University); Sitharama Iyengar (Florida International University)

  • Gaze-Enhanced Student Modeling for Game-based Learning
        Andrew Emerson (North Carolina State University); Robert Sawyer (North Carolina State University); Roger Azevedo (North Carolina State University); James Lester (North Carolina State University)

  • Susceptibility to Persuasive Strategies: A Comparative Analysis of West Africans vs. North Americans
        Kiemute Oyibo (University of Saskatchewan); Ifeoma Adaji (University of Saskatchewan); Babatunde Olabenjo (University of Saskatchewan); Rita Orji (Dalhousie University); Julita Vassileva (University of Saskatchewan)

  • Persuasive Effect of Behavior Model Design in Fitness Apps
        Kiemute Oyibo (University of Saskatchewan); Ifeoma Adaji (University of Saskatchewan); Babatunde Olabenjo (University of Saskatchewan); Rita Orji (Dalhousie University); Mahsa Azizi (University of Saskatchewan); Julita Vassileva (University of Saskatchewan)

  • Modeling Learners’ Cognitive and Affective States to Scaffold SRL in Open-Ended Learning Environments
        Anabil Munshi (Vanderbilt University); Ramkumar Rajendran (Vanderbilt University); Jaclyn Ocumpaugh (University of Pennsylvania); Gautam Biswas (Vanderbilt University); Ryan Baker (University of Pennsylvania); Luc Paquette (University of Illinois at Urbana-Champaign)

  • Exploring the effects of introducing a Rich-OLM in an introductory programming course
        Jordan Barria-Pineda (University of Pittsburgh); Julio Guerra-Hollstein (Universidad Austral de Chile); Peter Brusilovsky (University of Pittsburgh)

  • Who is Your Best Friend?: Ranking Social Network Friends According to Trust Relationship
        Xiaoming Li (Nanyang Technological University); Hui Fang (School of Information Management and Engineering, Shanghai University of Finance and Economics); Qing Yang (University of North Texas); Jie Zhang (Nanyang Technological University)

  • Energy Saving Recommendations and User Location Modeling in Commercial Buildings
        Peter Wei (Columbia University); Stephen Xia (Columbia University); Xiaofan Jiang (Columbia University)

  • Modeling and Predicting News Consumption on Twitter
        Claudia Orellana-Rodriguez (Insight Centre for Data Analytics); Mark T. Keane (Insight Centre for Data Analytics)



  • Accepted Short Papers
  • Are You Reaching Your Audience?: Exploring Item Exposure over Consumer Segments in Recommender Systems
        Jacek Wasilewski (Insight Centre for Data Analytics); Neil Hurley (Insight Centre for Data Analytics)

  • Orient Me! - Important event identification in an enterprise activity stream
        Naama Zwerdling (IBM Haifa Research Lab); Inbal Ronen (IBM Haifa Reserach Lab); Lior Leiba (IBM Research, Haifa); Maya Barnea (IBM)

  • Predicting Users' Personality from Instagram Pictures: Using Visual and/or Content Features?
        Bruce Ferwerda (Jönköping University); Marko Tkalcic (Free University of Bozen-Bolzano)

  • Eudaimonic Modeling of Moviegoers
        Marko Tkalcic (Free University of Bolzano Faculty of Computer Science); Bruce Ferwerda (Jönköping University)

  • A Hybrid Recommendation Approach for Open Research Datasets
        Anusuriya Devaraju (CSIRO); Shlomo Berkovsky (CSIRO)

  • Cross-cultural trust in recommender systems
        Shlomo Berkovsky (CSIRO); Ronnie Taib (CSIRO); Yoshinori Hijikata (Kwansei Gakuin University); Pavel Braslavski (Ural Federal University); Bart Knijnenburg (Clemson University)

  • Investigating the Decision-Making Behavior of Maximizers and Satisficers in the Presence of Recommendations
        Michael Jugovac (TU Dortmund); Ingrid Nunes (Universidade Federal do Rio Grande do Sul (UFRGS)); Dietmar Jannach (AAU Klagenfurt)

  • Modelling The Effect of Gender and Age on the Factors Influencing Healthy Shopping Habits In E-Commerce Shoppers
        Ifeoma Adaji (University of Saskatchewan); Kiemute Oyibo (University of Saskatchewan); Julita Vassileva (University of Saskatchewan)

  • On Cultural-centered Adaptive Graphical Passwords: Improving Password Memorability based on Users’ Collective Memories
        Argyris Constantinides (Department of Computer Science, University of Cyprus); Marios Belk (Cognitive UX GmbH); Christos Fidas (Department of Cultural Heritage Management and New Technologies, University of Patras); George Samaras (Department of Computer Science, University of Cyprus)

  • Investigating Serial Position Effects in Sequential Group Decision Making
        Thi Ngoc Trang Tran (Institute for Software Technology, Graz University of Technology); Muesluem Atas (Institute for Software Technology, Graz University of Technology); Alexander Felfernig (Institute for Software Technology, Graz University of Technology); Ralph Samer (Institute for Software Technology, Graz University of Technology)



  • Accepted Extended Abstracts
  • Exploring Users’ Perception of Rating Summary Statistics
        Ludovik Coba (Free University of Bozen-Bolzano); Markus Zanker (Free University of Bozen-Bolzano); Laurens Rook (Delft University of Technology); Panagiotis Symeonidis (Free University of Bolzano)

  • Lea’s Box’ Persuadable Open Learner Model: A Case Study in the Field of Speed Reading Training
        Michael Kickmeier-Rust (University of Teacher Education); Blandine Ginon (University of Birmingham); Matthew Johnson (University of Birmingham); Ali Türker (Sebit)

  • Culture-Aware Music Recommendation
        Eva Zangerle (Databases and Information Systems, Department of Computer Science, University of Innsbruck); Martin Pichl (Databases and Information Systems, Department of Computer Science, University of Innsbruck); Markus Schedl (Johannes Kepler University)

  • Enhancing Commercial Recommendations through Sequential Modeling
        Stephane Martin (Ecole Polytechnique Fédérale de Lausanne); Boi Faltings (Ecole Polytechnique Fédérale de Lausanne); Vincent Schickel (Prediggo SA)

  • Multi-view Visual Bayesian Personalized Ranking from Implicit Feedback
        Haihua Luo (College of Computer Science & Software Engineering, Shenzhen University, China); Xiaoyan Zhang (College of Computer Science & Software Engineering, Shenzhen University, China); Bowei Chen (Northeastern University, China); Guibing Guo (Northeastern University, China)

  • A Bayesian Point Process Model for User Return Time Prediction in Recommendation Systems
        Thomas Sherin (Indian Institute of Technology Hyderabad); P.K. Srijith (Indian Institute of Technology Hyderabad); Michal Lukasik (The University of Sheffield)

  • A Data-Driven Approach to Predict User Engagement in Active Video Watching
        Alicja Piotrkowicz (University of Leeds); Vania Dimitrova (University of Leeds); Tanja Mitrovic (University of Canterbury); Lydia Lau (University of Leeds)

  • A Dataset for Inferring Contextual Preferences of Users Watching TV
        Miklas S. Kristoffersen (Aalborg University); Sven E. Shepstone (Bang & Olufsen A/S); Zheng-Hua Tan (Aalborg University)

  • Predicting emotions from multimodal users’ data using a deep learning model
        Ange Adrienne Nyamen Tato (Université du Québec à Montréal); Roger Nkambou (Université du Québec À Montréal (UQAM)); Claude Frasson (University of Montreal)

  • IDEA: Instant Detection of Eating Action using Wrist-Worn Sensors in Absence of User-Specific Model
        Junghyo Lee (Arizona State University); Ayan Banerjee (Arizona State University); Sandeep Gupta (Arizona State University)



  • Accepted Theory, Opinion and Reflection Papers
  • Increasing Response Rates to Email Surveys in MOOCs
        Dan Ding (National University of Singapore); Oleksandra Poquet (National University of Singapore); Joseph Jay Williams (National University of Singapore)

  • Towards a Conceptual Model for Holistic Recommendations
        Federica Cena (University of Torino); Amon Rapp (University of Torino); Cataldo Musto (University of Bari Aldo Moro); Pasquale Lops (University of Bari Aldo Moro)

  • Finding the Sweet Spot: UMAP as a Facilitator of Equilibria in Human-Computer Interactions
        Panagiotis Germanakos (SAP SE)



  • Accepted Late-Breaking Results Papers
  • Study on Motivating Physical Activity in Children with Personalized Gamified Feedback
        Hanna Schäfer (Technical University of Munich); Joachim Bachner (Technical University of Munich); Sebastian Pretscher (Technical University of Munich); Georg Groh (Technical University of Munich); Yolanda Demetriou (Technical University of Munich)

  • Privacy Perceiver: Using Social Network Posts to Derive Users' Privacy
        Frederic Raber (DFKI); Antonio Krueger (DFKI)

  • Personalized Spatial Support for People with Autism Spectrum Disorder
        Federica Cena (University of Torino); Amon Rapp (University of Torino); Claudio Mattutino (University of Torino)

  • Deep Content-based Recommender Systems Exploiting Recurrent Neural Networks and Linked Open Data
        Cataldo Musto (University of Bari Aldo Moro); Tiziano Franza (University of Bari Aldo Moro); Giovanni Semeraro (University of Bari Aldo Moro); Marco de Gemmis (University of Bari Aldo Moro); Pasquale Lops (University of Bari Aldo Moro)

  • Generating Consensus Explanations for Group Recommendations
        Shabnam Najafian (Delft University of Technology); Nava Tintarev (Delft University of Technology)

  • Photos Don't Have Me, But How Do You Know Me?: Analyzing and Predicting Users on Instagram
        Kyungsik Han (Ajou University); Yonggeol Jo (Ajou University); Youngseung Jeon (Ajou University); Bogoan Kim (Ajou University); Junho Song (Hanyang University); Sang-Wook Kim (Hanyang University)

  • Personalized Tourist Package Recommendation using Graph Based Approach
        Rashmi HTI (Indian Institute of Technology Hyderabad); Maunendra Sankar Desarkar (Indian Institute of Technology Hyderabad)

  • Predicting Successful Collaboration in a Pair Programming Eye Tracking Experiment
        Maureen Villamor (Ateneo de Manila University); Ma. Mercedes T. Rodrigo (Ateneo de Manila University)

  • Targeting Diverse Coding Skills and Personalized Problem Selection in a Mobile Python Tutor
        Geela Venise Firmalo Fabic (University of Canterbury); Tanja Mitrovic (Intelligent Computer Tutoring Group, University of Canterbury, Christchurch); Kourosh Neshatian (University of Canterbury)

  • Implicit User Modeling in Multi-participant Chat
        Anat Hashavit (IBM); Naama Tepper (IBM); Inbal Ronen (IBM Haifa Reserach Lab); Lior Leiba (IBM Research, Haifa); Amir David Nissan Cohen (Technion Haifa)

  • Identifying Students’ Persistence Profiles in Problem Solving Task
        Cristina Dumdumaya (University of Southeastern Philippines); Ma. Mercedes T. Rodrigo (Department of Information Systems and Computer Science, Ateneo de Manila University); Michelle Banawan (ateneo de davao university)

  • Fine-grained adaptation in exploratory search systems using simple user behaviour characteristics
        Alan Medlar (University of Helsinki); Joel Pyykkö (University of Helsinki); Dorota Glowacka (University of Helsinki)

  • Towards Intelligent Interfaces for Mixed-Focus Collaboration
        Anton Sigitov (Bonn-Rhein-Sieg University of Applied Sciences); Oliver Staadt (University of Rostock); André Hinkenjann (Bonn-Rhein-Sieg University of Applied Sciences)

  • Argumentation-Based Explanations in Recommender Systems: Conceptual Framework and Empirical Results
        Sidra Naveed (Duisburg-Essen University); Tim Donkers (Duisburg-Essen University); Jürgen Ziegler (Duisburg-Essen University)

  • "Can I have a Mooc2Go, please?" On The Viability of Mobile vs. Stationary Learning.
        Yue Zhao (Delft University of Technology); Tarmo Robal (Tallinn University of Technology); Christoph Lofi (Delft University of Technology); Claudia Hauff (Delft University of Technology)

  • Polarization Effects in Group Decisions
        Muesluem Atas (Institute of software technology, Graz University of Technology); Stefan Reiterer (Institute of software technology, Graz University of Technology); Alexander Felfernig (Institute of software technology, Graz University of Technology); Thi Ngoc Trang Tran (Institute of software technology, Graz University of Technology)

  • User-oriented Objective Prioritization for Meta-Featured Multi-Objective Recommender Systems
        Reinaldo Fortes (UFOP); Anisio Mendes Lacerda (CEFET-MG); Alan Freitas (UFOP); Carlos Bruckner (UFOP); Dayanne Coelho (UFOP); Marcos Goncalves (Federal University of Minas Gerais)

  • Characterizing Learner Behavior from High Frequency Touchscreen Data Using Recurrent Neural Networks
        Zach Pardos (University of California, Berkeley); Changran Hu (Tsinghua University); Pengqiu Meng (Wuhan University); Michael Neff (University of California, Davis); Dor Abrahamson (University of California, Berkeley)

  • Recommending Hotels Using Contextual and External Data
        Marie Al-Ghossein (Telecom ParisTech); Talel Abdessalem (LTCI, Télécom ParisTech, Université Paris-Saclay, UMI CNRS IPAL NUS); Anthony Barré (AccorHotels)

  • Personalizing Persuasive Technologies: Do Gender and Age Affect Susceptibility to Persuasive Strategies?
        Aisha Muhammad Abdullahi (FEDERAL UNIVERSITY DUTSE-NIGERIA); Rita Orji (Dalhousie University); Kiemute Oyibo (University of Saskatchewan)