Using rough sets to determine construct importance in a dynamic HCI environment

  • Authors:
  • Michael D. Coovert;Dawn Riddle;Linda R. Elliot;Samuel G. Schiflett

  • Affiliations:
  • University of South Florida, Tampa, Fl;University of South Florida, Tampa, Fl;Air Force Research Laboratory, Brooks AFB, TX;Air Force Research Laboratory, Brooks AFB, TX

  • Venue:
  • CHI '00 Extended Abstracts on Human Factors in Computing Systems
  • Year:
  • 2000

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Abstract

Rough set analysis is used as a methodology to identify the relative importance of variables for individuals who interact with various computer and other display and communication systems aboard Airborne Warning and Control Systems (AWACS). A goal of the analysis is to determine optimal information display and interpersonal interaction strategies to minimize workload and maximize coordination among team members, including intelligent agents. Rough sets analysis yielded the rank order of importance of 15 variables on three constructs (individual experience, personality, team process) for each of three different types of AWACS operators.