Sensing User Needs: Recognition Technologies and User Models for Adaptive User Interfaces

  • Barnabas Takacs
  • Lajos Simon
  • Matthias Peissner
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6761)

Abstract

In this paper we introduce the notion of a Virtual User Lab that employs virtual reality tools to simulate End-Users in realistic application scenarios in order to help industrial designers and application developers to create and test adaptive interfaces that evolve as users’ preferences and potential handicaps are discovered. We describe key elements of the VUL, discuss computer vision-based algorithms for facial information processing to understand user behavior and present an email-reading scenario to better highlight the system’s adaptive capabilities and practical usability.

Keywords

User interface adaptation facial information processing virtual human interface 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Schoemaker, L., et al.: Multimodal Integration for Advanced Multimedia Interfaces. In: ESPRIT III, Basic Research Project 8579 (2004)Google Scholar
  2. 2.
    Kapoor, A., Mota, S., Picard, R.W.: Towards a Learning Companion that Recognizes Affect. In: Proc. of Emotional and Intelligent Agents II: The Tangled Knot of Social Cognition, AAAI Fall Symposium (2001)Google Scholar
  3. 3.
    Bruce, V.: Face Recognition. In: Eyesenck, M.W. (ed.) Cognitive Psychology: An International Review (1992)Google Scholar
  4. 4.
    Kort, B., Reilly, R.: Analytical Models of Emotions, Learning and Relationships: Towards and Affect-sensitive Cognitive Machine. In: Proc. Intl. Conf. on Virtual Worlds and Simulation, San Antonio, TX (2002)Google Scholar
  5. 5.
    Schlossberg, H.: The Description of Facial Expressions in Terms of Two Dimensions. J. of Experimental Psychology 44(4) (1952)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Barnabas Takacs
    • 1
    • 2
  • Lajos Simon
    • 1
  • Matthias Peissner
    • 3
  1. 1.Semmelweis Medical UniversityBudapestHungary
  2. 2.Technical University of BudapestBudapestHungary
  3. 3.Fraunhofer IAOStuttgartGermany

Personalised recommendations