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Mitigation of Cognitive Bias with a Serious Game: Two Experiments Testing Feedback Timing and Source
International Journal of Game-Based Learning
  • Norah E. Dunbar, University of California, Santa Barbara
  • Matthew L. Jensen, University of Oklahoma
  • Elena Bessarabova, University of Oklahoma
  • Yu-Hao Lee, University of Florida
  • Scott N. Wilson, University of Oklahoma
  • Javier Elizondo, University of Oklahoma
  • Bradley J. Adame, Arizona State University
  • Joseph Valacich, University of Arizona
  • Sara Straub, Independent Researcher
  • Judee K. Burgoon, University of Arizona
  • Brianna Lane, Christopher Newport University
  • Cameron W. Piercy, University of Central Missouri
  • David Wilson, University of Nebraska at Omaha
  • Shawn King, Independent Researcher
  • Cindy Vincent, Salem State University
  • Ryan Schuetzler, University of Arizona
Author ORCID Identifier

Ryan Schuetzler

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One of the benefits of using digital games for education is that games can provide feedback for learners to assess their situation and correct their mistakes. We conducted two studies to examine the effectiveness of different feedback design (timing, duration, repeats, and feedback source) in a serious game designed to teach learners about cognitive biases. We also compared the digital game-based learning condition to a professional training video. Overall, the digital game was significantly more effective than the video condition. Longer durations and repeats improve the effects on bias-mitigation. Surprisingly, there was no significant difference between just-in-time feedback and delayed feedback, and computer-generated feedback was more effective than feedback from other players.


Copyright © 2017, IGI Global.

DOI: 10.4018/IJGBL.2017100105

Citation Information
Norah E. Dunbar, Matthew L. Jensen, Elena Bessarabova, Yu-Hao Lee, et al.. "Mitigation of Cognitive Bias with a Serious Game: Two Experiments Testing Feedback Timing and Source" International Journal of Game-Based Learning Vol. 7 Iss. 4 (2017) p. 86 - 100
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