Implicit and explicit training in the mitigation of cognitive bias through the use of a serious game

Norah E. Dunbar, Claude H. Miller, Bradley Adame, Javier Elizondo, Scott N. Wilson, Brianna L. Lane, Abigail Allums Kauffman, Elena Bessarabova, Matthew L. Jensen, Sara K. Straub, Yu Hao Lee, Judee K. Burgoon, Joseph J. Valacich, Jeffrey Jenkins, Jun Zhang

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Heuristics can interfere with information processing and hinder decision-making when more systematic processes that might lead to better decisions are ignored. Based on the heuristic-systematic model (HSM) of information processing, a serious training game (called MACBETH) was designed to address and mitigate cognitive biases that interfere with the analysis of evidence and the generation of hypotheses. Two biases are the focus of this paper - fundamental attribution error and confirmation bias. The efficacy of the serious game on knowledge and mitigation of biases was examined using an experiment in which participants (N = 703) either played the MACBETH game or watched an instructional video about the biases. Results demonstrate the game to be more effective than the video at mitigating cognitive biases when explicit training methods are combined with repetitive play. Moreover, explicit instruction within the game provided greater familiarity and knowledge of the biases relative to implicit instruction. Suggestions for game development for purposes of enhancing cognitive processing and bias mitigation based on the MACBETH game design are discussed.

Original languageEnglish (US)
Pages (from-to)307-318
Number of pages12
JournalComputers in Human Behavior
Volume37
DOIs
StatePublished - 2014

Fingerprint

Automatic Data Processing
Decision Making
Decision making
Processing
Experiments
Heuristics
Serious games
Mitigation
Cognitive Bias
Recognition (Psychology)

Keywords

  • Bias mitigation
  • Cognitive biases
  • Instructional testing
  • Training
  • Video games

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Psychology(all)
  • Arts and Humanities (miscellaneous)

Cite this

Implicit and explicit training in the mitigation of cognitive bias through the use of a serious game. / Dunbar, Norah E.; Miller, Claude H.; Adame, Bradley; Elizondo, Javier; Wilson, Scott N.; Lane, Brianna L.; Kauffman, Abigail Allums; Bessarabova, Elena; Jensen, Matthew L.; Straub, Sara K.; Lee, Yu Hao; Burgoon, Judee K.; Valacich, Joseph J.; Jenkins, Jeffrey; Zhang, Jun.

In: Computers in Human Behavior, Vol. 37, 2014, p. 307-318.

Research output: Contribution to journalArticle

Dunbar, NE, Miller, CH, Adame, B, Elizondo, J, Wilson, SN, Lane, BL, Kauffman, AA, Bessarabova, E, Jensen, ML, Straub, SK, Lee, YH, Burgoon, JK, Valacich, JJ, Jenkins, J & Zhang, J 2014, 'Implicit and explicit training in the mitigation of cognitive bias through the use of a serious game', Computers in Human Behavior, vol. 37, pp. 307-318. https://doi.org/10.1016/j.chb.2014.04.053
Dunbar, Norah E. ; Miller, Claude H. ; Adame, Bradley ; Elizondo, Javier ; Wilson, Scott N. ; Lane, Brianna L. ; Kauffman, Abigail Allums ; Bessarabova, Elena ; Jensen, Matthew L. ; Straub, Sara K. ; Lee, Yu Hao ; Burgoon, Judee K. ; Valacich, Joseph J. ; Jenkins, Jeffrey ; Zhang, Jun. / Implicit and explicit training in the mitigation of cognitive bias through the use of a serious game. In: Computers in Human Behavior. 2014 ; Vol. 37. pp. 307-318.
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