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Related Experiment Videos

Information Technology Support For Debiasing Group Judgments: An Empirical Evaluation.

Benbasat1, Lim

  • 1University of British Columbia, Vancouver, B.C., Canada

Organizational Behavior and Human Decision Processes
|September 7, 2000
PubMed
Summary

This study investigated reducing availability bias in group judgments using computer support. Electronic brainstorming and electronic mail effectively reduced this bias by increasing attention to less available information.

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Area of Science:

  • Cognitive Psychology
  • Human-Computer Interaction
  • Group Decision-Making

Background:

  • Human judgments, both individual and group, are susceptible to biases.
  • Availability bias, where easily recalled events are overestimated, is a prevalent cognitive bias.
  • Reducing availability bias in group settings is crucial for accurate decision-making.

Purpose of the Study:

  • To investigate methods for reducing availability bias in group decision-making.
  • To evaluate the effectiveness of computer-based support tools in mitigating this bias.
  • To understand the mechanisms through which support tools impact availability bias.

Main Methods:

  • An experiment with a 2x2 factorial design was employed.
  • Two computer-based support facilities, electronic brainstorming and electronic mail, were tested.

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  • Forty teams of three members rated the importance of secretary-related tasks under different communication (electronic vs. verbal) and electronic brainstorming conditions.

    • Main Results:

    • Both electronic brainstorming and electronic mail significantly reduced availability bias.
    • The reduction in bias was attributed to increased attention to items with low availability.
    • Electronic communication and brainstorming facilitated more balanced consideration of information.

    Conclusions:

    • Computer-based tools like electronic brainstorming and electronic mail can effectively mitigate availability bias in groups.
    • These tools enhance group judgment accuracy by promoting attention to less salient information.
    • The findings have implications for designing collaborative systems that support unbiased decision-making.