Vol-1618
urn:nbn:de:0074-1618-1

Copyright © 2016 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.


UMAP-ExtProc 2016
UMAP 2016 Extended Proceedings

Late-breaking Results, Posters, Demos, Doctoral Consortium and Workshops Proceedings of the 24th ACM Conference on User Modeling, Adaptation and Personalisation (UMAP 2016)

Halifax, Canada, July 13-16, 2016.


Edited by

Federica Cena1
Michel Desmarais2
Darina Dicheva3
Jie Zhang4

1 Università degli Studi di Torino, Italy
2 Polytechnique Montreal, Canada
3 Winston-Salem University, USA
4 Nanyang Technological University, Singapore



The Late-breaking Results, the Poster and Demos, the Doctoral Consortium and the Workshop papers at the 24th ACM conference on User Modeling, Adaptation and Personalisation deal with various exciting topics related to emerging areas of research, with the aim of discussing best practices and innovative approaches in User Modeling and Adaptive Systems.

Late-breaking Results and Posters and Demos works focus on some key issues related to visualisation, personality, elearning, and recommender systems. They descrive innovative research ideas, preliminary results of recently started research projects and system prototypes. Doctoral Consortium papers describe promising work of students in adaptive systems.

Finally, the seven workshops present challenges, open issues and new perspectives related to current and novel trends (e.g., evaluation, data fusion, human factors, surprise) in different fields (e.g., personal informatics, learning, news).

Table of Contents


UMAP 2016 Late-breaking Results, Posters and Demos

organized by Darina Dicheva, Michel Desmarais

Late-breaking Results

  1. What’s Inside the Box? An Open Student Modeling Approach in a Museum Context
    Diego Zapata-Rivera
  2. Exploring Contingent Step Decomposition in a Tutorial Dialogue System
    Pamela Jordan, Patricia Albacete, Sandra Katz
  3. Students’ Personality and Chat Room Behavior in Synchronous Online Learning
    Wen Wu, Li Chen, Qingchang Yang
  4. Individual and Peer Comparison Open Learner Model Visualisations to Identify What to Work On Next
    Susan Bull, Peter Brusilovsky, Julio Guerra, Rafael Araujo
  5. A Comparative Study of Visual Cues for Annotation-Based Navigation Support in Adaptive Educational Hypermedia
    Roya Hosseini, Peter Brusilovsky

Posters and Demos

  1. Pupillary Response: Removing Screen Luminosity Effects for Clearer Implicit Feedback
    Tomas Juhaniak, Patrik Hlavac, Robert Moro, Jakub Simko, Maria Bielikova
  2. Supporting Group Decision Making with Recommendations and Explanations
    Thuy Ngoc Nguyen, Francesco Ricci
  3. Diagnosis at Scale: Detecting the Expertise Level and Knowledge States of Lifelong Professional Learners
    Oluwabukola Mayowa Ishola, Gord McCalla
  4. Multilingual Tagging Behaviour: The Role of Recommender Systems
    Angelina Ziesemer, James Blustein, Milene Selbach Silveira
  5. Personality Profiling from Text: Language Features Tied to Personality across Corpora
    William R. Wright, David N. Chin
  6. CogniWin: An Integrated Framework to Support Older Adults at Work (Demo)
    David Portugal, Miguel Sales Dias, Eleni Christodoulou, Marios Belk, João Quintas, Pedro Nunes, George Samaras, Sten Hanke, Markus Müllner-Rieder, Christoph Glauser, Mehdi Snene, Dimitri Konstantas

UMAP 2016 Doctoral Consortium Posters

organized by Vania Dimitrova, Maria Bielikova

  1. Improving E-Commerce User Experience with Data-Driven Personalized Persuasion & Social Network Analysis
    Ifeoma Adaji
  2. Learning the Learner: User Modeling in Intelligent Computer Assisted Language Learning Systems
    David Alfter
  3. Intelligent Authoring of Gamified Intelligent Tutoring System
    Diego Dermeval
  4. Adaptive Literacy-Aware Integration of Learning Material
    Christian Grévisse
  5. Impact of characteristics of individuals on evaluating the quantitative studies
    Patrik Hlavac
  6. Personalized Recommendation of Travel Itineraries based on Tourist Interests and Preferences
    Kwan Hui Lim
  7. A Bayesian User-Controllable Recommender System
    Jonathas Magalhães
  8. A computational model of emotion and personality in e-learning environments
    Somayeh Fatahi

UMAP 2016 Workshops

chaired by Federica Cena, Jie Zhang

EvalUMAP2016: Towards Comparative Evaluation in the User Modelling, Adaptation and Personalization Space

organized by Owen Conlan, Liadh Kelly , Kevin Koidl, Séamus Lawless, Killian Levacher, Athanasios Staikopoulos

  1. ECP: Evaluation Community Portal A Portal for Evaluation And Collaboration in User Modelling and Personalisation Research
    Kevin Koidl, Killian Levacher, Owen Conlan, Ben Steichen
  2. Motivating Behavioral Change through Personalized Visual Narratives
    Bilal Yousuf, Owen Conlan
  3. Evaluating Persuasive Systems Using the PSD Framework
    Ifeoma Adaji, Julita Vassileva
  4. A Review of User-centred Information Retrieval Tasks
    Ali Hosseinzadeh vahid, Roghaiyeh Gachpaz hamed, Kevin Koidl
  5. The Use of Open Data to Improve the Repeatability of Adaptivity and Personalisation Experiment
    Harshvardhan Pandit, Roghaiyeh Gachpaz Hamed, Shay Lawless, David Lewis
  6. Evaluating Adaptive Systems and Applications is often Nonsense
    Paul De Bra
  7. Living Labs for UMAP Evaluation
    Liadh Kelly
  8. Evaluation Metrics for Inferring Personality from Text
    David N. Chin, William R. Wright
  9. Towards comparative evaluations of user-adaptive software systems
    Athanasios Staikopoulos, Owen Conlan
  10. Building a Bridge between User-Adaptive Systems Evaluation and Software Testing
    Veronika Bogina, Tvi Kuflik

FuturePD 2016: The Future of Personal Data

organized by Amon Rapp, Federica Cena, Judy Kay, Bob Kummerfeld, Frank Hopfgartner, Jakob Eg Larsen, Elise van den Hoven

  1. Human-Agents Experience Sharing: Creating Social Agents for Elderly People with Dementia
    Marieke M.M. Peeters, Mark A. Neerincx
  2. JogChalking: Capturing and Visualizing Affective Experience for Recreational Runners
    Nabil Bin Hannan, Felwah Alqahtani, Derek Reilly
  3. Accuracy and Reliability of Personal Data Collection: An Autoethnographic Study
    Amon Rapp, Alessandro Marcengo, Federica Cena

HAAPIE 2016: Human Aspects in Adaptive and Personalised Interactive Environments Workshop

organized by Panagiotis Germanakos, Marios Belk, George Samaras, Vania Dimitrova

  1. Capturing the Visitor Profile for a Personalized Mobile Museum Experience: an Indirect Approach
    Angeliki Antoniou, Akrivi Katifori, Maria Roussou, Maria Vayanou, Manolis Karvounis, Marialena Kyriakidi, Laia Pujol-Tost
  2. Context-aware User Interaction for Mobile Recommender Systems
    Shabnam Najafian, Wolfgang Wörndl, Matthias Braunhofer
  3. Theory-Based User Modeling for Personalized interactive Information Retrieval
    Asad Ullah, Haiming Liu
  4. A Computer Mouse for Stress Identification of Older Adults at Work
    Marios Belk, David Portugal, Panagiotis Germanakos, João Quintas, Eleni Christodoulou, George Samaras
  5. Personality Modeling: Potential and Pitfalls
    David N. Chin

IFUP 2016: Workshop on Multi-dimension Information Fusion for Modeling and Personalisation

organized by Guibing Guo, Robin Burke, Feida Zhu, Neil Yorke-Smith

  1. An Experiment in Cross-Representation Mediation of User Models
    Federica Cena, Cristina Gena, Claudia Picardi
  2. Personalized Recommendation of Research Papers by Fusing Recommendations from Explicit and Implicit Social Network
    Shaikhah Alotaibi, Julita Vassileva
  3. Personalized Next-Track Music Recommendation with Multi-dimensional Long-Term Preference Signals
    Iman Kamehkhosh, Dietmar Jannach, Lukas Lerche
  4. TOCCF: Time-Aware One-Class Collaborative Filtering
    Xinchao Chen, Weike Pan, Zhong Ming
  5. RBPR: Role-based Bayesian Personalized Ranking for Heterogeneous One-Class Collaborative Filtering
    Xiaogang Peng, Yaofeng Chen, Yuchao Duan, Weike Pan, Zhong Ming
  6. Reconstructing Trust Matrix to Improve Prediction Accuracy and Solve Cold User Problem in Recommender Systems
    Shunpan Liang, Lin Ma, Fuyong Yuan

INRA 2016: News Recommendation and Analytics workshop

organized by Jon Atle Gulla, Luc Martens, Özlem Özgöbek, Nafiseh Shabib

  1. Measuring Actual Visitor Engagement in News Websites
    Razib Iqbal, Matthew Scott, Tarah Cleveland
  2. User Interface Personalization in News Apps
    Marios Constantinides, John Dowell
  3. A Signal-Based Approach to News Recommendation
    Sirian Caldarelli, Davide Feltoni Gurini, Alessandro Micarelli, Giuseppe Sansonetti
  4. The Intricacies of Time in News Recommendation
    Jon Atle Gulla, Cristina Marco, Arne Dag Fidjestøl, Jon Espen Ingvaldsen, Özlem Özgöbek

PALE 2016:Workshop on Personalization Approaches in Learning Environments

organized by Milos Kravcik, Jesus G. Boticario, Olga C. Santos, Maria Bielikova

  1. Addressing Affective States with Empathy and Growth Mindset
    Ivon Arroyo, Kasia Muldner, Sarah Schultz, Winslow Burleson, Naomi Wixon, Beverly P. Woolf
  2. Towards an Emotional Engagement Model: Can Affective States of a Learner be Automatically Detected in a 1:1 Learning Scenario?
    Nese Alyuz, Eda Okur, Ece Oktay, Utku Genc, Sinem Aslan, Sinem Emine Mete, David Stanhill, Bert Arnrich, Asli Arslan Esme
  3. Affective and Behavioral Assessment for Adaptive Intelligent Tutoring Systems
    Luis Marco-Gimenez, Miguel Arevalillo-Herraez, Francesc J. Ferri, Salvador Moreno-Picot, Jesus G. Boticario, Olga C. Santos, Sergio Salmeron-Majadas, Mar Saneiro, Raul Uria-Rivas, David Arnau, José A. González-Calero, Aladdin Ayesh, Raúl Cabestrero, Pilar Quirós, Pablo Arnau-González, Naeem Ramzan
  4. Modeling Skill Combination Patterns for Deeper Knowledge Tracing
    Yun Huang, Julio D. Guerra-Hollstein, Peter Brusilovsky
  5. Exploring Requirements for an Adaptive Exercise Selection System
    Juliet Okpo, Matt Dennis, Judith Masthoff, Kirsten A. Smith, Nigel Beacham
  6. Exploring the Impact of Extroversion on the Selection of Learning Materials
    Manal Alhathli, Judith Masthoff, Advaith Siddharthan
  7. Combining Content Analytics and Activity Tracking to Identify User Interests and Enable Knowledge Discovery
    Andrii Vozniuk, Maria Jesus Rodriguez-Triana, Adrian Holzer, Denis Gillet
  8. Theory-driven Learning Analytics and Open Learner Modelling: The Teacher’s Toolbox of Tomorrow?
    Michael D. Kickmeier-Rust, Dietrich Albert
  9. Detecting Cheaters in MOOCs Using Item Response Theory and Learning Analytics
    Giora Alexandron, Sunbok Lee, Zhongzhou Chen, David E. Pritchard
  10. WiBAF into a CMS: Personalization in Learning Environments Made Easy
    Alejandro Montes García, Natalia Stash, Marc Fabri, Paul De Bra, George H. L. Fletcher, Mykola Pechenizkiy
  11. Towards Personal infrastructure to manage long term open learner models
    Jean-Marie Gilliot, Nour El Mawas, Serge Garlatti
  12. Tracking and Reacting to the Evolving Knowledge Needs of Lifelong Professional Learners
    Oluwabukola Mayowa Ishola, Gord McCalla

SOAP 2016:Workshop on Surprise, Opposition, and Obstruction in Adaptive and Personalized Systems

organized by Peter Knees, Kristina Andersen, Alan Said, Marko Tkalcic

  1. Investigating the Relationship Between Diversity in Music Consumption Behavior and Cultural Dimensions: A Cross-Country Analysis
    Bruce Ferwerda, Markus Schedl
  2. Towards Multi-Stakeholder Utility Evaluation of Recommender Systems
    Robin Burke, Himan Abdollahpouri, Bamshad Mobasher, Trinadh Gupta
  3. A Prototype for Exploration of Computational Strangeness in the Context of Rhythm Variation
    Peter Knees, Kristina Andersen
  4. Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions
    Keunwoo Choi, György Fazekas, Mark Sandler
2016-06-29: submitted by Federica Cena, metadata incl. bibliographic data published under Creative Commons CC0
2016-07-04: published on CEUR-WS.org |valid HTML5|