Long Papers
Effects of Proactive Dialogue Strategies on Human-Computer Trust
Bernd Dudzik, Hayley Hung, Mark Neerincx and Joost Broekens
Investigating the Influence of Personal Memories on Video-Induced Emotions
Patrícia Alves, Pedro Saraiva, João Carneiro, Pedro Campos, Helena Martins, Paulo Novais and Goreti Marreiros
Modeling Tourists’ Personality in Recommender Systems: How Does Personality Influence Preferences for Tourist Attractions?
Michael Barz, Kristin Altmeyer, Sarah Malone, Luisa Lauer and Daniel Sonntag
Digital Pen Features Predict Task Difficulty and User Performance of Cognitive Tests
Noemi Mauro, Liliana Ardissono and Federica Cena
Personalized Recommendation of PoIs to People with Autism
Monica Landoni, Maria Soledad Pera, Emiliana Murgia and Theo Huibers
Inside Out: Exploring the Emotional Side of Search Engines in the Classroom
Martijn Millecamp, Nyi Nyi Htun, Cristina Conati and Katrien Verbert
What’s in a User? Towards Personalising Transparency For Music Recommender Interfaces
Ralph Samer, Martin Stettinger and Alexander Felfernig
Group Recommender User Interfaces for Improving Requirements Prioritization
Thomas Kundinger and Andreas Riener
The Potential of Wrist-Worn Wearables for Driver Drowsiness Detection: A Feasibility Analysis
Sebastian Zepf, Neska El Haouij, Jinmo Lee, Asma Ghandeharioun, Javier Hernandez and Rosalind W. Picard
Studying Personalized Just-in-time Auditory Breathing Guides and Potential Safety Implications during Simulated Driving
Soyoung Rhim, Uichin Lee and Kyungsik Han
Tracking and Modeling Subjective Well-Being Using Smartphone-Based Digital Phenotype
Wanling Cai and Li Chen
Predicting User Intents and Satisfaction with Dialogue-based Conversational Recommendations
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher and Robin Burke
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems
Nico Herbig, Tim Düwel, Mossad Helali, Lea Eckhart, Patrick Schuck, Subhabrata Choudhury and Antonio Krüger
Investigating Multi-Modal Measures for Cognitive Load Detection in E-Learning
Alessio Palmero Aprosio, Stefano Menini and Sara Tonelli
Adaptive Complex Word Identification through False Friend Detection
Ningxia Wang and Li Chen
The Impacts of Item Features and User Characteristics on Users’ Perceived Serendipity of Recommendations
Feng Lu, Anca Dumitrache and David Graus
Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation
Zacharoula Papamitsiou, Kshitij Sharma and Michail Giannakos
On the dependence structure between learners’ response-time and knowledge mastery: if non-linear, then what?
Oana Inel, Nava Tintarev and Lora Aroyo
Eliciting User Preferences for Personalized Explanations for Video Summaries
Matthias Wölbitsch, Thomas Hasler, Simon Walk and Denis Helic
Mind the Gap: Exploring Shopping Preferences Across Fashion Retail Channels
Alisha Banskota and Yiu-Kai Ng
Recommending Video Games to Adults with Autism Spectrum Disorder for Social-Skill Enhancement
Mete Sertkan, Julia Neidhardt and Hannes Werthner
Eliciting Users’ Touristic Profile from Picture Collections
Johannes Kunkel, Claudia Schwenger and Jürgen Ziegler
NewsViz: Depicting and Controlling Preference Profiles Using Interactive Treemaps in News Recommender Systems
Thao Ngo, Johannes Kunkel and Jürgen Ziegler
Exploring Mental Models for Transparent and Controllable Recommender Systems: A Qualitative Study
Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu and Bamshad Mobasher
Opportunistic multi-aspect fairness through personalized re-ranking
Guojing Zhou, Xi Yang, Hamoon Azizsoltani, Tiffany Barnes and Min Chi
Improving Student-System Interaction Through Data-driven Explanations of Hierarchical Reinforcement Learning Induced Pedagogical Policies
Yuan Tian, Ke Zhou, Mounia Lalmas, Yiqun Liu and Dan Pelleg
Cohort Modeling Based App Usage Prediction
Guglielmo Faggioli, Mirko Polato and Fabio Aiolli
Recency aware collaborative filtering for next basket recommendation
Andrew Emerson, Michael Geden, Andy Smith, Eric Wiebe, Bradford Mott, Kristy Elizabeth Boyer and James Lester
Predictive Student Modeling in Block-Based Programming Environments with Bayesian Hierarchical Models
Farzad Eskandanian and Bamshad Mobasher
Using Stable Matching to Optimize the Balance between Accuracy and Diversity in Recommendation
Argyris Constantinides, Anna Pietron, Marios Belk, Christos Fidas, Ting Han and Andreas Pitsillides
Personalizing Picture Passwords based on the Effects of Cultural Differences
Short Papers
Hendrik Heuer
Towards Trustworthy Machine Learning User Interfaces for Deep-Learning-Based Object Recognition
Yitong Meng, Xiao Yan, Weiwen Liu, Huanhuan Wu and James Cheng
Collaborative Wasserstein Filtering for Item Cold-start Recommendation
Martijn Millecamp, Robin Haveneers and Katrien Verbert
Cogito ergo quod? The Effect of Cognitive Style in a Transparent Mobile Music Recommender System.
Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino and Sergi Bermúdez i Badia
An Exploratory Review on Techniques for Quantitative Assessment of Stroke Rehabilitation Exercises
Alessandro Benedetto Melchiorre and Markus Schedl
Personality Correlates of Music Audio Preferences for Modeling Music Listeners
Yutaro Ueoka, Kota Tsubouchi and Nobuyuki Shimizu
Tackling Cannibalization Problems for Online Advertisement
Zheng Yuan and Doug Downey
Practical methods for semi-automated peer grading in a classroom setting
Ekaterina Muravyeva, José Janssen, Kim Dirkx and Marcus Specht
The Role of Trust in Personal Data Sharing in the Context of e-Assessment and the Moderating Effect of Special Educational Needs
Ben Steichen, Carla Castillo and Kevin Scroggins
Personalized Multilingual Search – Predicting Search Result List Language Preferences
Sergio Torrijos, Alejandro Bellogin and Pablo Sánchez
Discovering related users in location-based social networks
Cataldo Musto, Christoph Trattner, Alain Starke and Giovanni Semeraro
Towards a Knowledge-aware Food Recommender System Exploiting Holistic User Models
Esteban Andrés Ríssola, Seyed Ali Bahrainian and Fabio Crestani
A Dataset for Research on Depression in Social Media
Ben Steichen, Bo Fu and Tho Nguyen
Inferring Cognitive Style from Eye Gaze Behavior During Information Visualization Usage
Fabio Colella, Pedram Daee, Jussi Jokinen, Antti Oulasvirta and Samuel Kaski
Human Strategic Steering Improves Performance of Interactive Optimization
Roy Ka-Wei Lee, Thong Hoang, Richard Jayadi Oentaryo and David Lo
Keen2Act: Activity Recommendation in Online Social Collaborative Platforms
