Debiasing Decisions
Improved Decision Making With a Single Training Intervention
- Carey K. Morewedge1
- Haewon Yoon1
- Irene Scopelliti2
- Carl W. Symborski3
- James H. Korris4
- Karim S. Kassam5
- 1Boston University, MA, USA
- 2City University London, UK
- 3Leidos, Reston, VA, USA
- 4Creative Technologies Incorporated, Los Angeles, CA, USA
- 5Carnegie Mellon University, Pittsburgh, PA, USA
- Carey K. Morewedge, Associate Professor of Marketing, Questrom School of Business, Boston University, Rafik B. Hariri Building, 595 Commonwealth Ave., Boston, MA 02215, USA. Email: morewedg{at}bu.edu
Abstract
From failures of intelligence analysis to misguided beliefs about vaccinations, biased judgment and decision making contributes to problems in policy, business, medicine, law, education, and private life. Early attempts to reduce decision biases with training met with little success, leading scientists and policy makers to focus on debiasing by using incentives and changes in the presentation and elicitation of decisions. We report the results of two longitudinal experiments that found medium to large effects of one-shot debiasing training interventions. Participants received a single training intervention, played a computer game or watched an instructional video, which addressed biases critical to intelligence analysis (in Experiment 1: bias blind spot, confirmation bias, and fundamental attribution error; in Experiment 2: anchoring, representativeness, and social projection). Both kinds of interventions produced medium to large debiasing effects immediately (games ≥ −31.94% and videos ≥ −18.60%) that persisted at least 2 months later (games ≥ −23.57% and videos ≥ −19.20%). Games that provided personalized feedback and practice produced larger effects than did videos. Debiasing effects were domain general: bias reduction occurred across problems in different contexts, and problem formats that were taught and not taught in the interventions. The results suggest that a single training intervention can improve decision making. We suggest its use alongside improved incentives, information presentation, and nudges to reduce costly errors associated with biased judgments and decisions.
Article Notes
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Declaration of Conflicting Interests The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
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Funding The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Intelligence Advanced Research Projects Activity via the Air Force Research Laboratory Contract Number FA8650-11-C-7175.
- © The Author(s) 2015












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