IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/58314.html
   My bibliography  Save this paper

Cognitive constraints increase estimation biases: Cognitive load and delay in judgments

Author

Listed:
  • Allred, Sarah
  • Crawford, L. Elizabeth
  • Duffy, Sean
  • Smith, John

Abstract

Previous work has demonstrated that memory for simple stimuli can be biased by information about the category of which the stimulus is a member. These biases have been interpreted as optimally integrating noisy sensory information with category information. A separate literature has demonstrated that cognitive load can lead to biases in social cognition. Here we link the two, asking whether delay (Experiment 1) and cognitive load (Experiment 2) affect the extent to which observers' memories for simple line stimuli are affected by category information. We found that delay and cognitive load have similar effects: both manipulations increase the weight of category information on memory for stimuli. We discuss the broad implications of such findings on fields such as eyewitness testimony.

Suggested Citation

  • Allred, Sarah & Crawford, L. Elizabeth & Duffy, Sean & Smith, John, 2014. "Cognitive constraints increase estimation biases: Cognitive load and delay in judgments," MPRA Paper 58314, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:58314
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/58314/1/MPRA_paper_58314.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Allred, Sarah & Duffy, Sean & Smith, John, 2016. "Cognitive load and strategic sophistication," Journal of Economic Behavior & Organization, Elsevier, vol. 125(C), pages 162-178.
    2. Oechssler, Jörg & Roider, Andreas & Schmitz, Patrick W., 2009. "Cognitive abilities and behavioral biases," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 147-152, October.
    3. Duffy, Sean & Smith, John, 2011. "Cognitive load in the multi-player prisoner's dilemma game," MPRA Paper 30856, University Library of Munich, Germany.
    4. Paymon Ashourian & Yonatan Loewenstein, 2011. "Bayesian Inference Underlies the Contraction Bias in Delayed Comparison Tasks," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-8, May.
    5. Shiv, Baba & Fedorikhin, Alexander, 1999. "Heart and Mind in Conflict: The Interplay of Affect and Cognition in Consumer Decision Making," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 26(3), pages 278-292, December.
    6. Bergman, Oscar & Ellingsen, Tore & Johannesson, Magnus & Svensson, Cicek, 2010. "Anchoring and cognitive ability," Economics Letters, Elsevier, vol. 107(1), pages 66-68, April.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Allred, Sarah & Duffy, Sean & Smith, John, 2016. "Cognitive load and strategic sophistication," Journal of Economic Behavior & Organization, Elsevier, vol. 125(C), pages 162-178.

    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. Sarah R., Allred & L. Elizabeth, Crawford & Sean, Duffy & John, Smith, 2015. "Working memory and spatial judgments: Cognitive load increases the central tendency bias," MPRA Paper 63520, University Library of Munich, Germany.
    2. Deck, Cary & Jahedi, Salar, 2015. "The effect of cognitive load on economic decision making: A survey and new experiments," European Economic Review, Elsevier, vol. 78(C), pages 97-119.
    3. Duffy, Sean & Smith, John, 2014. "Cognitive load in the multi-player prisoner's dilemma game: Are there brains in games?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 51(C), pages 47-56.
    4. Chen, Chia-Ching & Chiu, I-Ming & Smith, John & Yamada, Tetsuji, 2013. "Too smart to be selfish? Measures of cognitive ability, social preferences, and consistency," Journal of Economic Behavior & Organization, Elsevier, vol. 90(C), pages 112-122.
    5. Allred, Sarah & Duffy, Sean & Smith, John, 2016. "Cognitive load and strategic sophistication," Journal of Economic Behavior & Organization, Elsevier, vol. 125(C), pages 162-178.
    6. Daniel J. Benjamin & Sebastian A. Brown & Jesse M. Shapiro, 2013. "Who Is ‘Behavioral’? Cognitive Ability And Anomalous Preferences," Journal of the European Economic Association, European Economic Association, vol. 11(6), pages 1231-1255, December.
    7. Kiss, H.J. & Rodriguez-Lara, I. & Rosa-García, A., 2016. "Think twice before running! Bank runs and cognitive abilities," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 64(C), pages 12-19.
    8. Ondrej Rydval, 2012. "The Causal Effect of Cognitive Abilities on Economic Behavior: Evidence from a Forecasting Task with Varying Cognitive Load," Jena Economics Research Papers 2011-064, Friedrich-Schiller-University Jena.
    9. Paolo Crosetto & Marco Mantovani, 2012. "Availability of Information and Representation Effects in the Centipede Game," Jena Economics Research Papers 2012-051, Friedrich-Schiller-University Jena.
    10. repec:cup:judgdm:v:14:y:2019:i:3:p:234-279 is not listed on IDEAS
    11. Kai Duttle & Keigo Inukai, 2015. "Complexity Aversion: Influences of Cognitive Abilities, Culture and System of Thought," Economics Bulletin, AccessEcon, vol. 35(2), pages 846-855.
    12. Baghestanian, Sascha & Frey, Seth, 2016. "GO figure: Analytic and strategic skills are separable," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 64(C), pages 71-80.
    13. Deck, Cary & Jahedi, Salar & Sheremeta, Roman, 2021. "On the consistency of cognitive load," European Economic Review, Elsevier, vol. 134(C).
    14. Ji Yong Lee & Rodolfo M. Nayga & Cary Deck & Andreas C. Drichoutis, 2020. "Cognitive Ability and Bidding Behavior in Second Price Auctions: An Experimental Study," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(5), pages 1494-1510, October.
    15. Cueva, Carlos & Iturbe-Ormaetxe, Iñigo & Mata-Pérez, Esther & Ponti, Giovanni & Sartarelli, Marcello & Yu, Haihan & Zhukova, Vita, 2016. "Cognitive (ir)reflection: New experimental evidence," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 64(C), pages 81-93.
    16. Michalis Drouvelis & Johannes Lohse, 2020. "Cognitive abilities and risk taking: the role of preferences," Discussion Papers 20-02, Department of Economics, University of Birmingham.
    17. Jinrui Pan & Jason Shachat & Sijia Wei, 2022. "Cognitive Stress and Learning Economic Order Quantity Inventory Management: An Experimental Investigation," Decision Analysis, INFORMS, vol. 19(3), pages 229-254, September.
    18. Duffy, Sean & Naddeo, JJ & Owens, David & Smith, John, 2016. "Cognitive load and mixed strategies: On brains and minimax," MPRA Paper 71878, University Library of Munich, Germany.
    19. Hoppe, Eva I. & Kusterer, David J., 2011. "Behavioral biases and cognitive reflection," Economics Letters, Elsevier, vol. 110(2), pages 97-100, February.
    20. Paraboni, Ana Luiza & da Costa, Newton, 2021. "Improving the level of financial literacy and the influence of the cognitive ability in this process," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
    21. Nicolas Eber & Patrick Roger & Tristan Roger, 2024. "Finance and intelligence: An overview of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 38(2), pages 503-554, April.

    More about this item

    Keywords

    cognitive load; delay; judgment; estimation biases; memory; category effects;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

    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:pra:mprapa:58314. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.