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

  • Barnabas Takacs
  • Lajos Simon
  • Matthias Peissner
Conference paper

DOI: 10.1007/978-3-642-21602-2_54

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6761)
Cite this paper as:
Takacs B., Simon L., Peissner M. (2011) Sensing User Needs: Recognition Technologies and User Models for Adaptive User Interfaces. In: Jacko J.A. (eds) Human-Computer Interaction. Design and Development Approaches. HCI 2011. Lecture Notes in Computer Science, vol 6761. Springer, Berlin, Heidelberg

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 

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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

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