Mitigating cognitive bias through the use of serious games: Effects of feedback

Norah E. Dunbar, Matthew L. Jensen, Claude H. Miller, Elena Bessarabova, Sara K. Straub, Scott N. Wilson, Javier Elizondo, Judee K. Burgoon, Joseph S. Valacich, Bradley Adame, Yu Hao Lee, Brianna Lane, Cameron Piercy, David Wilson, Shawn King, Cindy Vincent, Ryan Scheutzler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

A serious video game was created to teach players about cognitive bias and encourage mitigation of both confirmation bias and the fundamental attribution error. Multiplayer and single-player versions of the game were created to test the effect of different feedback sources on bias mitigation performance. A total of 626 participants were randomly assigned to play the single player/multiplayer game once or repeatedly. The results indicate the single player game was superior at reducing confirmation bias and that repeated plays and plays of longer duration were more effective at mitigating both biases than a control condition where participants watched a training video.

Original languageEnglish (US)
Title of host publicationPersuasive Technology - 9th International Conference, PERSUASIVE 2014, Proceedings
PublisherSpringer-Verlag
Pages92-105
Number of pages14
ISBN (Print)9783319071268
DOIs
StatePublished - 2014
Event9th International Conference on Persuasive Technology, PERSUASIVE 2014 - Padua, Italy
Duration: May 21 2014May 23 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8462 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Persuasive Technology, PERSUASIVE 2014
Country/TerritoryItaly
CityPadua
Period5/21/145/23/14

Keywords

  • Cognitive bias
  • Confirmation bias
  • Feedback
  • Fundamental Attribution error
  • Serious Games

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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