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Machine learning for adaptive user interfaces

  • Pat Langley
Invited Talks
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1303)

Abstract

In this paper we examine the growing interest in personalized user interfaces and explore the potential of machine learning in meeting that need. We briefly review progress in developing fielded applications of machine learning, then consider some characteristics of adaptive user interfaces that distinguish them from more traditional applications. After 1655 06 this, we consider some examples of adaptive interfaces that use inductive methods to personalize their behavior, and we report some ongoing research that extends these ideas in the automobile environment.

Keywords

Machine Learning Global Position System Informative System Interactive Software Generative Interface 
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-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Pat Langley
    • 1
  1. 1.Intelligent Systems LaboratoryDaimler-Benz Research and Technology CenterPalo AltoUSA

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