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User Modeling in Interactive Systems

  • Matthias BezoldEmail author
  • Wolfgang Minker
Chapter
  • 405 Downloads

Abstract

Adaptive interactive systems observe the user-system interaction and draw conclusions from these observations about user characteristics and preferences. The process of representing a user by means of an abstract model is called user modeling. Based on these conclusions, adaptations improve the interactive system. Thus, user modeling represents a prerequisite for the adaptation of interactive systems. The adaptation to user behavior is the focus of this book. In this chapter, we present domain-independent algorithms we developed for modeling user actions. Numerous algorithms and architectures for user modeling have been presented in the literature (see Section 2.2). However, these are often domain-specific, intended for other systems than interactive systems, such as hypertext systems, or describe only a part of the user modeling process. An integrated user modeling approach for adaptive interactive systems needs to extract information from basic observations and process this data to facilitate a higher-level description of user behavior. Finally, this information provides triggers to an adaptation component. These triggers include the recognition and prediction actions or the detection of problems. The approaches presented in the literature do not fulfill these requirements.

Keywords

User Action Interactive System User Modeling User Behavior Task Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Institute of Information TechnologyUniversity of UlmUlmGermany

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