17. UMAP 2009: Trento, Italy

Invited Talks (Abstracts)

• Alessandro Vinciarelli:
  Social Computers for the Social Animal: State-of-the-Art and Future Perspectives of Social Signal Processing. 1
  
• Susan T. Dumais:
  Thinking Outside the (Search) Box. 2
  
• Vincent Wade:
  Challenges for the Multi-dimensional Personalised Web. 3
  

Peer-reviewed Papers

• Cristina Conati, Heather Maclaren:
  Modeling User Affect from Causes and Effects. 4-15
  
• Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro:
  Evaluating Web Based Instructional Models Using Association Rule Mining. 16-29
  
• David G. Cooper, Ivon Arroyo, Beverly Park Woolf, Kasia Muldner, Winslow Burleson, Robert Christopherson:
  Sensors Model Student Self Concept in the Classroom. 30-41
  
• Susan Bull, Peter Gardner, Norasnita Ahmad, Jeffrey Ting, Ben Clarke:
  Use and Trust of Simple Independent Open Learner Models to Support Learning within and across Courses. 42-53
  
• Kimberley Upton, Judy Kay:
  Narcissus: Group and Individual Models to Support Small Group Work. 54-65
  
• Rosta Farzan, Peter Brusilovsky:
  Social Navigation Support for Information Seeking: If You Build It, Will They Come?. 66-77
  
• Yang Wang, Alfred Kobsa:
  Performance Evaluation of a Privacy-Enhancing Framework for Personalized Websites. 78-89
  
• José Antonio Iglesias, Agapito Ledezma, Araceli Sanchís:
  Creating User Profiles from a Command-Line Interface: A Statistical Approach. 90-101
  
• Chihiro Ono, Yasuhiro Takishima, Yoichi Motomura, Hideki Asoh:
  Context-Aware Preference Model Based on a Study of Difference between Real and Supposed Situation Data. 102-113
  
• Bruno Lepri, Nadia Mana, Alessandro Cappelletti, Fabio Pianesi, Massimo Zancanaro:
  Modeling the Personality of Participants During Group Interactions. 114-125
  
• Junichiro Mori, Yutaka Matsuo, Hitoshi Koshiba, Kenro Aihara, Hideaki Takeda:
  Predicting Customer Models Using Behavior-Based Features in Shops. 126-137
  
• Kasia Muldner, Robert Christopherson, Robert Atkinson, Winslow Burleson:
  Investigating the Utility of Eye-Tracking Information on Affect and Reasoning for User Modeling. 138-149
  
• Matthias Bezold:
  Describing User Interactions in Adaptive Interactive Systems. 150-161
  
• Jason B. Alonso, Catherine Havasi, Henry Lieberman:
  PerspectiveSpace: Opinion Modeling with Dimensionality Reduction. 162-172
  
• Marcelo Armentano, Analía Amandi:
  Recognition of User Intentions for Interface Agents with Variable Order Markov Models. 173-184
  
• Katharina Reinecke, Abraham Bernstein:
  Tell Me Where You've Lived, and I'll Tell You What You Like: Adapting Interfaces to Cultural Preferences. 185-196
  
• Fabian Bohnert, Ingrid Zukerman:
  Non-intrusive Personalisation of the Museum Experience. 197-209
  
• Daniel F. Schmidt, Ingrid Zukerman, David W. Albrecht:
  Assessing the Impact of Measurement Uncertainty on User Models in Spatial Domains. 210-222
  
• Francesca Carmagnola, Fabiana Vernero, Pierluigi Grillo:
  SoNARS: A Social Networks-Based Algorithm for Social Recommender Systems. 223-234
  
• Petteri Nurmi, Andreas Forsblom, Patrik Floréen:
  Grocery Product Recommendations from Natural Language Inputs. 235-246
  
• Xavier Amatriain, Josep M. Pujol, Nuria Oliver:
  I Like It... I Like It Not: Evaluating User Ratings Noise in Recommender Systems. 247-258
  
• Greg Dunn, Jurgen Wiersema, Jaap Ham, Lora Aroyo:
  Evaluating Interface Variants on Personality Acquisition for Recommender Systems. 259-270
  
• Mihaela Cocea, George D. Magoulas:
  Context-Dependent Personalised Feedback Prioritisation in Exploratory Learning for Mathematical Generalisation. 271-282
  
• Barry Smyth, Peter Briggs, Maurice Coyle, Michael P. O'Mahony:
  Google Shared. A Case-Study in Social Search. 283-294
  
• Nicolas Ducheneaut, Kurt Partridge, Qingfeng Huang, Bob Price, Mike Roberts, Ed H. Chi, Victoria Bellotti, Bo Begole:
  Collaborative Filtering Is Not Enough? Experiments with a Mixed-Model Recommender for Leisure Activities. 295-306
  
• Kurt Partridge, Bob Price:
  Enhancing Mobile Recommender Systems with Activity Inference. 307-318
  
• Carlos André Reis Pinheiro, Markus Helfert:
  Customer's Relationship Segmentation Driving the Predictive Modeling for Bad Debt Events. 319-324
  
• Antonina Dattolo, Felice Ferrara, Carlo Tasso:
  Supporting Personalized User Concept Spaces and Recommendations for a Publication Sharing System. 325-330
  
• Tobias Ley, Barbara Kump, Antonia Maas, Neil A. M. Maiden, Dietrich Albert:
  Evaluating the Adaptation of a Learning System before the Prototype Is Ready: A Paper-Based Lab Study. 331-336
  
• Cécile Paris, Stephen Wan:
  Capturing the User's Reading Context for Tailoring Summaries. 337-342
  
• Armelle Brun, Geoffray Bonnin, Anne Boyer:
  History Dependent Recommender Systems Based on Partial Matching. 343-348
  
• Eugene Santos Jr., Hien Nguyen, John T. Wilkinson, Fei Yu, Deqing Li, Keum Joo Kim, Russell Jacob, Adam Olson:
  Capturing User Intent for Analytic Process. 349-354
  
• Rachael Rafter, Michael P. O'Mahony, Neil J. Hurley, Barry Smyth:
  What Have the Neighbours Ever Done for Us? A Collaborative Filtering Perspective. 355-360
  
• Johanna Renny Octavia, Chris Raymaekers, Karin Coninx:
  Investigating the Possibility of Adaptation and Personalization in Virtual Environments. 361-366
  
• Alicia Heraz, Claude Frasson:
  Detecting Guessed and Random Learners' Answers through Their Brainwaves. 367-372
  
• Carsten Ullrich, Tianxiang Lu, Erica Melis:
  Just-in-Time Adaptivity through Dynamic Items. 373-378
  
• Doreen Böhnstedt, Philipp Scholl, Christoph Rensing, Ralf Steinmetz:
  Collaborative Semantic Tagging of Web Resources on the Basis of Individual Knowledge Networks. 379-384
  
• Nikos Tsianos, Panagiotis Germanakos, Zacharias Lekkas, Costas Mourlas, George Samaras, Marios Belk:
  Working Memory Differences in E-Learning Environments: Optimization of Learners' Performance through Personalization. 385-390
  
• Till Plumbaum, Tino Stelter, Alexander Korth:
  Semantic Web Usage Mining: Using Semantics to Understand User Intentions. 391-396
  
• Alana Cordick, Judi McCuaig:
  Adaptive Tips for Helping Domain Experts. 397-402
  
• Frank Hopfgartner, Joemon M. Jose:
  On User Modelling for Personalised News Video Recommendation. 403-408
  
• Kazunori Komatani, Tatsuya Kawahara, Hiroshi G. Okuno:
  A Model of Temporally Changing User Behaviors in a Deployed Spoken Dialogue System. 409-414
  
• Swapna Reddy, Ya'akov Gal, Stuart M. Shieber:
  Recognition of Users' Activities Using Constraint Satisfaction. 415-421
  
• Danielle H. Lee, Peter Brusilovsky:
  Reinforcing Recommendation Using Implicit Negative Feedback. 422-427
  
• Demetris Kyriacou, Hugh C. Davis, Thanassis Tiropanis:
  Evaluating Three Scrutability and Three Privacy User Privileges for a Scrutable User Modelling Infrastructure. 428-434
  
• Luca Chittaro, Roberto Ranon, Luca De Marco, Augusto Senerchia:
  User Modeling of Disabled Persons for Generating Instructions to Medical First Responders. 435-440
  
• Fabio Buttussi, Luca Chittaro, Daniele Nadalutti:
  Filtering Fitness Trail Content Generated by Mobile Users. 441-446
  
• Xuehua Shen, ChengXiang Zhai, Nicholas J. Belkin:
  Adaptive Clustering of Search Results. 447-453
  
• Martin Harrigan, Milos Kravcik, Christina Steiner, Vincent Wade:
  What Do Academic Users Really Want from an Adaptive Learning System?. 454-460
  
• Nicolas Jones, Pearl Pu, Li Chen:
  How Users Perceive and Appraise Personalized Recommendations. 461-466
  
• Mohanad Al-Jabari, Michael Mrissa, Philippe Thiran:
  Towards Web Usability: Providing Web Contents According to the Readers Contexts. 467-473
  
• David N. Chin, Dong-Wan Kang, Curtis S. Ikehara:
  Plan Recognition of Movement. 474-479
  
• Ian O'Keeffe, Vincent Wade:
  Personalised Web Experiences: Seamless Adaptivity across Web Service Composition and Web Content. 480-485