Using uncertainty to inform information sufficiency in decision making

  • Authors:
  • Xiao Dong;Caroline C. Hayes

  • Affiliations:
  • Industrial & System Engineering Department, University of Minnesota, Minneapolis, MN;Mechanical Engineering Department, University of Minnesota, Minneapolis, MN

  • Venue:
  • EPCE'11 Proceedings of the 9th international conference on Engineering psychology and cognitive ergonomics
  • Year:
  • 2011

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Abstract

Decision making is a critical part of design. Designers must constantly compare, weigh and select design options throughout the design process. The effectiveness of those decisions impacts the effectiveness of the final design. In this paper, we compare two decision support systems, one that allows designers to enter and visualize the uncertainty in each alternative, and one that does not. We compared differences in the designers' perceptions of whether they had sufficient information to make a choice, and their confidence in their choice. The goal is not to make designers more confident of their decisions, but rather to help them evaluate realistically whether they have sufficient information to make a clear choice.