IDEAS home Printed from https://ideas.repec.org/p/fau/wpaper/wp2020_01.html
   My bibliography  Save this paper

Cognitive Bias Mitigation: How to Make Decision-Making Rational?

Author

Listed:
  • Tomas Kucera

    (Czech National Bank, Na prikope 28, 115 03 Prague 1, Czech Republic)

Abstract

Cognitive biases distort judgement and adversely impact decision-making, which results in economic inefficiencies. Initial attempts to mitigate these biases met with little success. However, recent studies which used computer games and educational videos to train people to avoid biases (Clegg et al., 2014; Morewedge et al., 2015) showed that this form of training reduced selected cognitive biases by 30 %. In this work I report results of an experiment which investigated the debiasing effects of training on confirmation bias. The debiasing training took the form of a short video which contained information about confirmation bias, its impact on judgement, and mitigation strategies. The results show that participants exhibited confirmation bias both in the selection and processing of information, and that debiasing training effectively decreased the level of confirmation bias by 33 % at the 5% significance level.

Suggested Citation

  • Tomas Kucera, 2020. "Cognitive Bias Mitigation: How to Make Decision-Making Rational?," Working Papers IES 2020/1, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jan 2020.
  • Handle: RePEc:fau:wpaper:wp2020_01
    as

    Download full text from publisher

    File URL: https://ies.fsv.cuni.cz/en/veda-vyzkum/working-papers/6208
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Laura Hueber & Rene Schwaiger, 2021. "Debiasing Through Experience Sampling: The Case of Myopic Loss Aversion," Working Papers 2021-01, Faculty of Economics and Statistics, Universität Innsbruck.

    More about this item

    Keywords

    Behavioural economics; cognitive bias; confirmation bias; cognitive bias mitigation; confirmation bias mitigation; debiasing;
    All these keywords.

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • Y80 - Miscellaneous Categories - - Related Disciplines - - - Related Disciplines

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fau:wpaper:wp2020_01. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Natalie Svarcova (email available below). General contact details of provider: https://edirc.repec.org/data/icunicz.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.