Inferring user expertise for adaptive interfaces

  • Authors:
  • Kent P. Vaubel;Charles F. Gettys

  • Affiliations:
  • Department of Psychology, Rice University, Houston, TX;Department of Psychology, University of Oklahoma, Norman, OK

  • Venue:
  • Human-Computer Interaction
  • Year:
  • 1990

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Abstract

A technique based on two heuristic rules for inferring expertise is demonstrated by inferring user expertise in word-processing tasks. The heuristic rules were translated into practice by examining command frequencies and requests for on-line help from the 12 participants in the study who were engaged in personal word-processing tasks. These variables were found to be related to word-processing expertise. A scoring rule derived from these variables ranged from 71% to 87% correct in predicting the expertise of the user. The application of this technique to adaptive interfaces that incorporate estimates of user expertise is discussed.