IDEAS home Printed from https://ideas.repec.org/p/gat/wpaper/1734.html
   My bibliography  Save this paper

Information Order Shifts Criterion Placement in Perceptual Decisions

Author

Listed:
  • Thomas Garcia

    (Univ Lyon, CNRS, GATE L-SE UMR 5824, F-69130 Ecully, France)

  • Ismaël Rafaï

    (GREDEG, Université Côte d’Azur, Nice, France)

  • Sébastien Massoni

    (QuBE - School of Economics and Finance, QUT, Brisbane, Australia; Australian Centre for Entrepreneurship Research, QUT, Brisbane, Australia)

Abstract

Facing perceptual decisions with asymmetric stakes, individuals exhibit a conservative criterion placement. This bias prevents them from reaching the optimal decision process defined as the one which maximizes their expected payoffs. We propose in the present experimental study a non-invasive method to correct behaviors toward more optimality. We manipulate the information order between payoff information and perceptual evidence for three different incentive levels invariant regarding Signal Detection Theory predictions. Our results support the effectiveness of such manipulation: the decision strategy shifts toward optimality when payoff information is displayed last. The shift toward optimality is more pronounced for higher payoff contrasts. These results, which cannot be explained within the Signal Detection Theory framework, give new insights on the cognitive processes responsible for the conservative criterion placement

Suggested Citation

  • Thomas Garcia & Ismaël Rafaï & Sébastien Massoni, 2017. "Information Order Shifts Criterion Placement in Perceptual Decisions," Working Papers 1734, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
  • Handle: RePEc:gat:wpaper:1734
    as

    Download full text from publisher

    File URL: ftp://ftp.gate.cnrs.fr/RePEc/2017/1734.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ben Greiner, 2015. "Subject pool recruitment procedures: organizing experiments with ORSEE," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 1(1), pages 114-125, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wendelin Schnedler & Nina Lucia Stephan, 2020. "Revisiting a Remedy Against Chains of Unkindness," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 72(3), pages 347-364, July.
    2. David J. Cooper & Krista Saral & Marie Claire Villeval, 2021. "Why Join a Team?," Management Science, INFORMS, vol. 67(11), pages 6980-6997, November.
    3. Zakaria Babutsidze & Nobuyuki Hanaki & Adam Zylbersztejn, 2019. "Digital Communication and Swift Trust," Post-Print halshs-02409314, HAL.
    4. Galliera, Arianna, 2018. "Self-selecting random or cumulative pay? A bargaining experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 72(C), pages 106-120.
    5. Julien Jacob & Eve-Angéline Lambert & Mathieu Lefebvre & Sarah Driessche, 2023. "Information disclosure under liability: an experiment on public bads," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 61(1), pages 155-197, July.
    6. Simon Gaechter & Chris Starmer & Fabio Tufano, 2022. "Measuring “group cohesion” to reveal the power of social relationships in team production," Discussion Papers 2022-12, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    7. Gantner, Anita & Horn, Kristian & Kerschbamer, Rudolf, 2016. "Fair and efficient division through unanimity bargaining when claims are subjective," Journal of Economic Psychology, Elsevier, vol. 57(C), pages 56-73.
    8. Buser, Thomas & Ranehill, Eva & van Veldhuizen, Roel, 2021. "Gender differences in willingness to compete: The role of public observability," Journal of Economic Psychology, Elsevier, vol. 83(C).
    9. Ro’i Zultan & Eldar Dadon, 2023. "Missing the forest for the trees: when monitoring quantitative measures distorts task prioritization," Working Papers 2319, Ben-Gurion University of the Negev, Department of Economics.
    10. Kessel, Dany & Mollerstrom, Johanna & van Veldhuizen, Roel, 2021. "Can simple advice eliminate the gender gap in willingness to compete?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 138, pages 1-1.
    11. Ismaël Rafaï & Sébastien Duchêne & Eric Guerci & Irina Basieva & Andrei Khrennikov, 2022. "The triple-store experiment: a first simultaneous test of classical and quantum probabilities in choice over menus," Theory and Decision, Springer, vol. 92(2), pages 387-406, March.
    12. Matthew Embrey & Friederike Mengel & Ronald Peeters, 2019. "Strategy revision opportunities and collusion," Experimental Economics, Springer;Economic Science Association, vol. 22(4), pages 834-856, December.
    13. M. Djiguemde & D. Dubois & A. Sauquet & M. Tidball, 2022. "Continuous Versus Discrete Time in Dynamic Common Pool Resource Game Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(4), pages 985-1014, August.
    14. Daniel Woods & Mustafa Abdallah & Saurabh Bagchi & Shreyas Sundaram & Timothy Cason, 2022. "Network defense and behavioral biases: an experimental study," Experimental Economics, Springer;Economic Science Association, vol. 25(1), pages 254-286, February.
    15. De Geest, Lawrence R. & Kingsley, David C., 2021. "Norm enforcement with incomplete information," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 403-430.
    16. Embrey, Matthew & Seel, Christian & Philipp Reiss, J., 2024. "Gambling in risk-taking contests: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 221(C), pages 570-585.
    17. Gary Bolton & Kevin Breuer & Ben Greiner & Axel Ockenfels, 2023. "Fixing feedback revision rules in online markets," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 32(2), pages 247-256, April.
    18. Konstantinos Georgalos & Indrajit Ray & Sonali SenGupta, 2020. "Nash versus coarse correlation," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 1178-1204, December.
    19. Antonio Cabrales & Michalis Drouvelis & Zeynep Gurguy & Indrajit Ray, 2017. "Transparency is Overrated: Communicating in a Coordination Game with Private Information," CESifo Working Paper Series 6781, CESifo.
    20. Markus Dertwinkel-Kalt & Jonas Frey, 2020. "Optimal Stopping in a Dynamic Salience Model," CESifo Working Paper Series 8496, CESifo.

    More about this item

    Keywords

    conservative criterion placement; signal detection theory; optimality accuracy; information order;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • Y8 - Miscellaneous Categories - - 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:gat:wpaper:1734. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Nelly Wirth (email available below). General contact details of provider: https://edirc.repec.org/data/gateefr.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.