MACBETH: Development of a Training Game for the Mitigation of Cognitive Bias
نویسندگان
چکیده
Norah E. Dunbar, Department of Communication, Center for Applied Social Research, University of Oklahoma, Norman, OK, USA Scott N. Wilson, University of Oklahoma, Norman, OK, USA Bradley J. Adame, University of Oklahoma, Norman, OK, USA Javier Elizondo, University of Oklahoma, Norman, OK, USA Matthew L. Jensen, University of Oklahoma, Norman, OK, USA Claude H. Miller, University of Oklahoma, Norman, OK, USA Abigail Allums Kauffman, University of Texas Permian Basin, Odessa, TX, USA Toby Seltsam, University of Oklahoma, Norman, OK, USA Elena Bessarabova, University of Oklahoma, Norman, OK, USA Cindy Vincent, University of Oklahoma, Norman, OK, USA Sara K. Straub, University of Oklahoma, Norman, OK, USA Ryan Ralston, University of Oklahoma, Norman, OK, USA Christopher L. Dulawan, University of Arizona, Tucson, AZ, USA Dennis Ramirez, University of Wisconsin Madison, Madison, WI, USA Kurt Squire, University of Wisconsin Madison, Madison, WI, USA Joseph S. Valacich, University of Arizona, Tucson, AZ, USA Judee K. Burgoon, University of Arizona, Tucson, AZ, USA
منابع مشابه
Implicit and explicit training in the mitigation of cognitive bias through the use of a serious game
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 hy...
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ورودعنوان ژورنال:
- IJGBL
دوره 3 شماره
صفحات -
تاریخ انتشار 2013