Detailed Program • UMAP2018 - 26th Conference on User Modeling, Adaptation and Personalization

9:00-10:30 HAAPIE TR23 NS4-05-101	9:00-10:30 HUM TR22 NS4-05-100	9:00-10:30 IUadaptMe TR21 NS4-05-99	9:00-10:30 FairUMAP TR20 NS4-05-98	9:00-10:30 Tutorial: Group Recommender Systems TR19 NS4-05-97
10:30-11:00 Coffee/Tea Break
11:00-12:30 HAAPIE TR23 NS4-05-101	11:00-12:30 HUM TR22 NS4-05-100	11:00-12:30 IUadaptMe TR21 NS4-05-99	11:00-12:30 FairUMAP TR20 NS4-05-98	11:00-12:30 Tutorial: Group Recommender Systems TR19 NS4-05-97
12:30-13:30 Lunch Break
13:30-15:00 HAAPIE TR23 NS4-05-101	13:30-15:00 Tutorial: Personalisation and Privacy Issues in the Age of Exposure TR22 NS4-05-100	13:30-15:00 IUadaptMe TR21 NS4-05-99	13:30-15:00 FairUMAP TR20 NS4-05-98	13:30-15:00 Tutorial: Sequence-aware Recommender Systems TR19 NS4-05-97
15:00-15:30 Coffee/Tea Break
15:30-17:00 HAAPIE TR23 NS4-05-101	15:30-17:00 Tutorial: Personalisation and Privacy Issues in the Age of Exposure TR22 NS4-05-100	15:30-17:00 IUadaptMe TR21 NS4-05-99	15:30-17:00 FairUMAP TR20 NS4-05-98	15:30-17:00 Tutorial: Sequence-aware Recommender Systems TR19 NS4-05-97

Monday, July 9

8:30-9:00 Welcome, Jie Zhang, Tanja Mitrovic, Li Chen, David Chin Venue: LT4 NS4-02-36
9:00-10:00 Keynote by Barry Smyth, Running Recommendations Chair: David Chin, Univ of Hawaii Venue: LT4 NS4-02-34
10:30-12:20 PRS I Chair: Marko Tkalčič, Free Univ of Bozen-Bolzano Venue: LT3 NS4-02-32 “Energy Saving Recommendations and User Location Modeling in Commercial Buildings,” Peter Wei, Stephen Xia and Xiaofan Jiang “PACELA: A Neural Framework for User Visitation in Location-based Social Networks,” Thanh-Nam Doan and Ee-Peng Lim “ReEL: Review aware Explanation of Location Recommendation,” Ramesh Baral, XiaoLong Zhu, Sitharama Iyengar, and Tao Li “A Framework for Interaction-driven User Modeling of Mobile News Reading Behaviour,” Marios Constantinides and John Dowell	10:30-12:20 TEAL I Chair: Judy Kay, Univ of Sydney Venue: LT4 NS4-02-34 “Improving Learning & Reducing Time: A Constrained Action-Based Reinforcement Learning Approach,” Shitian Shen, Markel Sanz Ausin, Behrooz Mostafavi and Min Chi “A Fine-Grained Open Learner Model for an Introductory Programming Course,” Jordan Barria-Pineda, Julio Guerra-Hollstein and Peter Brusilovsky “Gaze-Enhanced Student Modeling for Game-based Learning,” Andrew Emerson, Robert Sawyer, Roger Azevedo and James Lester “Co-embeddings for Student Modeling in Virtual Learning Environments,” Milagro Teruel and Laura Alonso Alemany
12:20-13:20 Lunch Break
13:20-15:25 PRS II Chair: Julita Vassilieva, Univ of Saskatchewan Venue: LT3 NS4-02-32 “Intent-aware Item-based Collaborative Filtering for Personalised Diversification,” Jacek Wasilewski and Neil Hurley “Collaborative Filtering with Behavioral Models,” Dusan Sovilj, Scott Sanner, Harold Soh and Hanze Li “Controlling Spotify Recommendations: Effects of Personal Characteristics on Music Recommender User Interfaces,” Martijn Millecamp, Nyi Nyi Htun, Yucheng Jin and Katrien Verbert “Incorporating Constraints into Matrix Factorization for Clothes Package Recommendation,” Agung T Wibowo, Advaith Siddharthan, Judith Masthoff and Chenghua Lin “How to Use Social Relationships in Group Recommenders: Empirical Evidence,” Amra Delic, Judith Masthoff, Julia Neidhardt and Hannes Werthner	3:20-14:30 TEAL II Chair: Olga C. Santos, aDeNu Research Group - UNED Venue: LT4 NS4-02-34 “Modeling Learners’ Cognitive and Affective States to Scaffold SRL in Open-Ended Learning Environments,” Anabil Munshi, Ramkumar Rajendran, Jaclyn Ocumpaugh, Gautam Biswas, Ryan Baker and Luc Paquette “Exploring Adaptive Strategies for Providing Learning Activities,” Xingliang Chen, Antonija Mitrovic and Moffat Mathews “Scafolding for an OLM for Long Term Physical Activity Goals,” Lie Ming Tang and Judy Kay
	14:30-15:15 PSW I Chair: Marco de Gemmis, Univ of Bari Aldo Moro Venue: LT4 NS4-02-34 “Predicting Users' Personality from Instagram Pictures: Using Visual and/or Content Features?” Bruce Ferwerda and Marko Tkalčič “Eudaimonic Modeling of Moviegoers,” Marko Tkalčič and Bruce Ferwerda “Orient Me! − Important Event Identification in an Enterprise Activity Stream,” Naama Zwerdling, Inbal Ronen, Lior Leiba and Maya Barnea
15:30-16:00 Poster Madness I Co-chairs: Hui Fang, Shanghai University of Finance and Economics & Pasquale Lops, Univ of Bari Aldo Moro Venue: Tan Chin Tuan Lecture Theatre (NS4-02-36)
16:00-17:30 Coffee/Tea with Posters & Demos I Venue: In front of the registration desk Demo: - “Myrror: a Platform for Quantified Self and Holistic User Modeling,” Cataldo Musto, Giovanni Semeraro, Cosimo Lovascio, Marco de Gemmis, Pasquale Lops - “MyShikko: Modelling Knee Walking in Aikido Practice,” Alberto Corbi, Olga C. Santos - “Kindness is Contagious: Demonstration of a Persuasive Intervention for Wellbeing,” Ana Ciocarlan, Judith Masthoff, Nir Oren EA: - “Exploring Users' Perception of Rating Summary Statistics,” Ludovik Coba, Markus Zanker, Laurens Rook, Panagiotis Symeonidis - “Lea’s Box’ Persuadable Open Learner Model: A Case Study in the Field of Speed Reading Training,” Michael Kickmeier-Rust, Blandine Ginon, Matthew Johnson, Ali Türker - “Culture-Aware Music Recommendation,” Eva Zangerle, Martin Pichl, Markus Schedl - “Enhancing Session-Based Recommendations through Sequential Modeling,” Stephane Martin, Boi Faltings, Vincent Schickel - “Multi-view Visual Bayesian Personalized Ranking from Implicit Feedback,” Haihua Luo, Xiaoyan Zhang, Bowei Chen, Guibing Guo - “A Bayesian Point Process Model for User User Return Time Prediction in Recommendation Systems,” Thomas Sherin, P.K. Srijith, Michal Lukasik - “Using the Explicit User Profile to Predict User Engagement in Active Video Watching,” Alicja Piotrkowicz, Vania Dimitrova, Antonija Mitrovic, Lydia Lau - “A Dataset for Inferring Contextual Preferences of Users Watching TV,” Miklas S. Kristoffersen, Sven E. Shepstone, Zheng-Hua Tan - “Predicting Emotions From Multimodal Users' Data,” Ange Tato, Roger Nkambou, Claude Frasson - “IDEA: Instant Detection of Eating Action using Wrist-Worn Sensors in Absence of User-Specific Model,” Junghyo Lee, Prajwal Paudyal, Ayan Banerjee, Sandeep K.S. Gupta LBR: - “Study on Motivating Physical Activity in Children with Personalized Gamified Feedback,” Hanna Schäfer, Joachim Bachner, Sebastian Pretscher, Georg Groh, Yolanda Demetriou - “Privacy Perceiver: Using Social Network Posts to Derive Users' Privacy Measures,” Frederic Raber, Antonio Krüger - “Personalized Spatial Support for People with Autism Spectrum Disorder,” Federica Cena, Amon Rapp, Claudio Mattutino - “Deep Content-based Recommender Systems Exploiting Recurrent Neural Networks and Linked Open Data,” Cataldo Musto, Tiziano Franza, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops - “Generating Consensus Explanations for Group Recommendations,” Shabnam Najafian, Nava Tintarev - “Photos Don't Have Me, But How Do You Know Me?: Analyzing and Predicting Users on Instagram,” Kyungsik Han, Yonggeol Jo, Youngseung Jeon, Bogoan Kim, Junho Song, Sang-Wook Kim - “Personalized Tourist Package Recommendation using Graph Based Approach,” Rashmi Hti, Maunendra Sankar Desark - “Predicting Successful Collaboration in a Pair Programming Eye Tracking Experiment,” Maureen Villamor, Ma. Mercedes T. Rodrigo
18:00 Evening: Welcome Reception Venue: In front of the registration desk

Tuesday, July 10

8:30-9:30 Keynote by Ana Paiva, Robots that Listen to People's Hearts: the Role of Emotions in the Communication between Humans and Social Robots Chair: Tanja Mitrovic, Univ of Canterbury Venue: LT4 NS4-02-34
9:30-10:00 Coffee/Tea Break
10:00-11:45 PRS III Chair: Cataldo Musto, Univ of Bari Aldo Moro Venue: LT3 NS4-02-32 “Easy to Please:,Separating User Experience from Choice Satisfaction,” James Schaffer, John O'Donovan and Tobias Höllerer “Explanations that are Intrinsic to Recommendations,” Arpit Rana and Derek Bridge “Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels,” Lukas Galke, Florian Mai, Iacopo Vagliano and Ansgar Scherp “A Hybrid Recommendation Approach for Open Research Datasets,” Anusuriya Devaraju and Shlomo Berkovsky “Are You Reaching Your Audience? Exploring Item Exposure over Consumer Segments in Recommender Systems,” Jacek Wasilewski and Neil Hurley	10:00-11:35 AHSW Chair: Judith Masthoff, Univ Aberdeen Venue: LT4 NS4-02-34 “Perceived Persuasive Effect of Behavior Model Design in Fitness Apps,” Kiemute Oyibo, Ifeoma Adaji, Rita Orji, Babatunde Olabenjo, Mahsa Azizi and Julita Vassileva “Susceptibility to Persuasive Strategies: A Comparative Analysis of Nigerians vs. Canadians,” Kiemute Oyibo, Ifeoma Adaji, Rita Orji, Babatunde Olabenjo and Julita Vassileva “Investigating Serial Position Effects in Sequential Group Decision Making,” Thi Ngoc Trang Tran, Muesluem Atas, Alexander Felfernig, Ralph Samer and Martin Stettinger “On Cultural-centered Graphical Passwords: Leveraging on Users' Cultural Experiences for Improving Password Memorability,” Argyris Constantinides, Marios Belk, Christos Fidas and George Samaras “The Effect of Gender and Age on the Factors That Influence Healthy Shopping Habits in E-Commerce,” Ifeoma Adaji, Kiemute Oyibo and Julita Vassileva
11:45-12:45 Lunch Break
12:45-14:15 Doctoral Consortium I Co-Chairs: Pasquale Lops, Univ of Bari Aldo Moro & Vania Dimitrova, Univ of Leeds Venue: Tan Chin Tuan Lecture Theatre (NS4-02-36) “Data-Driven Destination Recommender Systems,” Linus W. Dietz “Recommendation of Activity Sequences during Distributed Events,” Diana Nurbakova “Integrating Item Based Stereotypes in Recommender Systems,” Nourah Alrossais “Towards Practical Link Prediction Approaches in Signed Social Networks,” Xiaoming Li “WikiRec: A Personalized Content Recommendation Framework to Support Informal Learning in Wikis,” Heba Ismail
14:15-14:45 Poster Madness II Co-chairs: Hui Fang, Shanghai University of Finance and Economics & Pasquale Lops, Univ of Bari Aldo Moro Venue: Tan Chin Tuan Lecture Theatre (NS4-02-36)
14:45-16:15 Coffee/Tea with Posters & Demos II Venue: In front of the registration desk Demo: - “Myrror: a Platform for Quantified Self and Holistic User Modeling,” Cataldo Musto, Giovanni Semeraro, Cosimo Lovascio, Marco de Gemmis, Pasquale Lops - “MyShikko: Modelling Knee Walking in Aikido Practice,” Alberto Corbi, Olga C. Santos - “Kindness is Contagious: Demonstration of a Persuasive Intervention for Wellbeing,” Ana Ciocarlan, Judith Masthoff, Nir Oren DC: - “On the Influence of Human Factors in Adaptive User Interface Design,” Tilman Deuschel - “SUM-IML: Dynamic Scrutable User Modeling utilizing Interactive Machine Learning,” Dima S. Mahmoud - “Personalizing data visualization and interaction,” Somnath Arjun TOR: - “Increasing Response Rates to Email Surveys in MOOCs,” Dan Ding, Oleksandra Poquet, Joseph Jay Williams, Radhika Nikam, Samuel Rhys Cox - “Towards a Conceptual Model for Holistic Recommendations,” Federica Cena, Amon Rapp, Cataldo Musto, Pasquale Lops - “Finding the Sweet Spot: UMAP as a Facilitator of Equilibria in Human-Computer Interactions,” Panagiotis Germanakos, LBR: - “Adaptive Problem Selection in a Mobile Python Tutor ,” Geela Venise Firmalo Fabic, Antonija Mitrovic and Kourosh Neshatian - “Implicit User Modeling in Group Chat,” Anat Hashavit, Naama Tepper, Inbal Ronen, Lior Leiba, Amir D.N. Cohen - “Identifying Students' Persistence Profiles in Problem Solving Task,” Cristina E. Dumdumaya, Michelle P. Banawan, Ma. Mercedes T. Rodrigo - “Towards Intelligent Interfaces for Mixed-Focus Collaboration,” Anton Sigitov, Oliver Staadt, André Hinkenjann - “Argumentation-Based Explanations in Recommender Systems: Conceptual Framework and Empirical Results,” Sidra Naveed, Tim Donkers, Jürgen Ziegler - “Stationary vs. Non-stationary Mobile Learning in MOOCs,” Yue Zhao, Tarmo Robal, Christoph Lofi, Claudia Hauff - “Polarization Effects in Group Decisions,” Muesluem Atas, Stefan Reiterer, Alexander Felfernig, Thi Ngoc Trang Tran - “User-Oriented Objective Prioritization for Meta-Featured Multi-Objective Recommender Systems,” Reinaldo Silva Fortes, Anisio Lacerda, Alan Freitas, Carlos Bruckner, Dayanne Coelho, Marcos Gonçalves - “Classifying Learner Behavior from High Frequency Touchscreen Data Using Recurrent Neural Networks,” Zachary A. Pardos, Changran Hu, Pengqiu Meng, Michael Neff, Dor Abrahamson - “Exploiting Contextual and External Data for Hotel Recommendation,” Marie Al-Ghossein, Talel Abdessalem, Anthony Barré - “Personalizing Persuasive Technologies: Do Gender and Age Affect Susceptibility to Persuasive Strategies?,” Aisha Muhammad Abdullahi, Rita Orji and Kiemute Oyibo
16:30 Bus to Singapore Zoo 18:30-20:00 Evening: Conference Dinner at Singapore Zoo 20:00 Singapore Zoo Night Safari

Wednesday, July 11

9:00-10:00 Keynote by Yuanchun Shi, Interpreting User Input Intention in Natural Human Computer Interaction Chair: Li Chen, Hong Kong Baptist Univ Venue: LT4 NS4-02-34
10:00-10:30 Coffee/Tea Break
10:30-11:25 PRS IV & IUI Chair: Robin Burke, DePaul Univ Venue: LT3 NS4-02-32 “Investigating the Decision-Making Behavior of Maximizers and Satisficers in the Presence of Recommendations,” Michael Jugovac, Ingrid Nunes and Dietmar Jannach “A Cross-cultural Analysis of Trust in Recommender Systems,” Shlomo Berkovsky, Ronnie Taib, Yoshinori Hijikata, Pavel Braslavski and Bart Knijnenburg “Effects of Individual Traits on Diversity-Aware Music Recommender User Interfaces,” Yucheng Jin, Nava Tintarev and Katrien Verbert	10:30-12:10 PSW II Chair: Nava Tintarev, TU Delft Venue: LT4 NS4-02-34 “Who is Your Best Friend?: Ranking Social Network Friends According to Trust Relationship,” Xiaoming Li, Hui Fang, Qing Yang and Jie Zhang "Kindness is Contagious: Study into Exploring Engagement and Adapting Persuasive Games for Wellbeing,” Ana Ciocarlan, Judith Masthoff and Nir Oren “Modeling and Predicting News Consumption on Twitter,” Claudia Orellana-Rodriguez and Mark T. Keane “Predict Demographic Information Using Word2vec on Spatial Trajectories,” Adir Solomon, Ariel Bar, Chen Yanai, Bracha Shapira and Lior Rokach
12:10-13:10 Lunch Break
13:10-13:55 Doctoral Consortium II Co-Chairs: Shlomo Berkovsky, CSIRO & Vania Dimitrova, Univ of Leeds Venue: Tan Chin Tuan Lecture Theatre (NS4-02-36) “Regulating Collaborative Learning in SQL-Tutor,” Ashish Sharma “Modeling Learners’ Interest with a Domain-Independent Ontology-Based Framework,” Dekita Moon “Modeling Student Persistence in a Learning-By-Teaching Environment,” Cristina Dumdumaya 13:55-14:40 Research Mentors Panel: “Starting a rewarding UMAP research career” Venue: Tan Chin Tuan Lecture Theatre (NS4-02-36)
14:40-15:10 Coffee/Tea Break
15:10-15:40 Closing Ceremony Venue: Tan Chin Tuan Lecture Theatre (NS4-02-36) Thank-you notes Presentation of 2019 site
15:50 Bus to Garden by the Bay 16:30 Social Event at Garden by the Bay