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User Modeling, Adaptation, and Personalization

18th International Conference, UMAP 2010, Big Island, HI, USA, June 20-24, 2010, Proceedings

  • Conference proceedings
  • © 2010

Overview

Editors:
  1. Paul Bra

    1. Computer Science Department, Eindhoven University of Technology, Eindhoven, The Netherlands

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  2. Alfred Kobsa

    1. School of Information and Computer Sciences, University of California, Irvine, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. David Chin

    1. Department of Information and Computer Sciences, University of Hawaii, Honolulu, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6075)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: UMAP 2010.

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Table of contents (45 papers)

  1. Front Matter

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  3. Full Research Papers

    1. Can Concept-Based User Modeling Improve Adaptive Visualization?

      • Jae-wook Ahn, Peter Brusilovsky
      Pages 4-15

    2. Interweaving Public User Profiles on the Web

      • Fabian Abel, Nicola Henze, Eelco Herder, Daniel Krause
      Pages 16-27

    3. Modeling Long-Term Search Engine Usage

      • Ryen W. White, Ashish Kapoor, Susan T. Dumais
      Pages 28-39

    4. Analysis of Strategies for Building Group Profiles

      • Christophe Senot, Dimitre Kostadinov, Makram Bouzid, Jérôme Picault, Armen Aghasaryan, Cédric Bernier
      Pages 40-51

    5. Contextual Slip and Prediction of Student Performance after Use of an Intelligent Tutor

      • Ryan S. J. d. Baker, Albert T. Corbett, Sujith M. Gowda, Angela Z. Wagner, Benjamin A. MacLaren, Linda R. Kauffman et al.
      Pages 52-63

    6. Working Memory Span and E-Learning: The Effect of Personalization Techniques on Learners’ Performance

      • Nikos Tsianos, Panagiotis Germanakos, Zacharias Lekkas, Costas Mourlas, George Samaras
      Pages 64-74

    7. Scaffolding Self-directed Learning with Personalized Learning Goal Recommendations

      • Tobias Ley, Barbara Kump, Cornelia Gerdenitsch
      Pages 75-86

    8. Instructional Video Content Employing User Behavior Analysis: Time Dependent Annotation with Levels of Detail

      • Junzo Kamahara, Takashi Nagamatsu, Masashi Tada, Yohei Kaieda, Yutaka Ishii
      Pages 87-98

    9. A User-and Item-Aware Weighting Scheme for Combining Predictive User Models

      • Fabian Bohnert, Ingrid Zukerman
      Pages 99-110

    10. PersonisJ: Mobile, Client-Side User Modelling

      • Simon Gerber, Michael Fry, Judy Kay, Bob Kummerfeld, Glen Pink, Rainer Wasinger
      Pages 111-122

    11. Twitter, Sensors and UI: Robust Context Modeling for Interruption Management

      • Justin Tang, Donald J. Patterson
      Pages 123-134

    12. Ranking Feature Sets for Emotion Models Used in Classroom Based Intelligent Tutoring Systems

      • David G. Cooper, Kasia Muldner, Ivon Arroyo, Beverly Park Woolf, Winslow Burleson
      Pages 135-146

    13. Inducing Effective Pedagogical Strategies Using Learning Context Features

      • Min Chi, Kurt VanLehn, Diane Litman, Pamela Jordan
      Pages 147-158

    14. “Yes!”: Using Tutor and Sensor Data to Predict Moments of Delight during Instructional Activities

      • Kasia Muldner, Winslow Burleson, Kurt VanLehn
      Pages 159-170

    15. A Personalized Graph-Based Document Ranking Model Using a Semantic User Profile

      • Mariam Daoud, Lynda Tamine, Mohand Boughanem
      Pages 171-182

    16. Interaction and Personalization of Criteria in Recommender Systems

      • Shawn R. Wolfe, Yi Zhang
      Pages 183-194

    17. Collaborative Inference of Sentiments from Texts

      • Yanir Seroussi, Ingrid Zukerman, Fabian Bohnert
      Pages 195-206
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  1. User Modeling, Adaptation, and Personalization

Keywords

Editors and Affiliations

  • Computer Science Department, Eindhoven University of Technology, Eindhoven, The Netherlands

    Paul Bra

  • School of Information and Computer Sciences, University of California, Irvine, USA

    Alfred Kobsa

  • Department of Information and Computer Sciences, University of Hawaii, Honolulu, USA

    David Chin

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