Using a knowledge analysis to predict conceptual errors in text-editor usage

  • Authors:
  • Richard M. Young;Joyce Whittington

  • Affiliations:
  • MRC Applied Psychology Unit, 15 Chaucer Road, Cambridge CB2 2EF, U.K.;MRC Applied Psychology Unit, 15 Chaucer Road, Cambridge CB2 2EF, U.K.

  • Venue:
  • CHI '90 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  • Year:
  • 1990

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Abstract

The knowledge analysis of a device and a task, when written in an external Instruction Language and translated into rules for a programmable cognitive architecture, enables a designer to predict conceptual errors in device usage. This kind of prediction lies outside the scope of GOMS-based models. The cognitive architecture, which is referred to as a “Programmable User Model” (PUM), incorporates a limited problem-solving capability based upon means-ends analysis and multiple problem spaces. The example presented, concerning a simple text editor, illustrates the application of a PUM and demonstrates that a correct description of local knowledge does not necessarily lead to correct behaviour. This can serve to alert the designer to difficulties with the usability of a proposed interface.