Graphical representation of statistical information in situations of judgment and decision-making

  • Authors:
  • Ohad Inbar

  • Affiliations:
  • Ben-Gurion University, Beer-Sheva, Israel

  • Venue:
  • Proceedings of the 14th European conference on Cognitive ergonomics: invent! explore!
  • Year:
  • 2007

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Abstract

Motivation -- To address both the theoretical and practical issues related to graphical representation of probabilities in the attempt to create 'corrective' representations that can counter-effect documented biases in judgment and decision-making. Research approach -- 64 students were asked to answer questions dealing with statistical information that was presented either numerically or graphically, replicating two well-knows experiments in the field of judgement and decision-making. Findings/Design -- The results of the pilot study suggest that graphical representation may help to counter the effect of documented biases. Research limitations/Implications -- The pilot study has only marginal significance due to the relatively small sample size. Originality/Value -- The research aims to suggest optimal graphical representations to help people in their decision-making process. Take away message -- Graphical representations may be an untapped resource that can be used along with or instead of numerical representations in decision-making.