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Error Management Theory and biased first impressions: How do people perceive potential mates under conditions of uncertainty?

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F22%3A10436425" target="_blank" >RIV/00216208:11310/22:10436425 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=BcWVNz4uQ3" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=BcWVNz4uQ3</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.evolhumbehav.2021.10.001" target="_blank" >10.1016/j.evolhumbehav.2021.10.001</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Error Management Theory and biased first impressions: How do people perceive potential mates under conditions of uncertainty?

  • Original language description

    eople must make inferences about a potential mate&apos;s desirability based on incomplete information. Under such uncertainty, there are two possible errors: people could overperceive a mate&apos;s desirability, which might lead to regrettable mating behavior, or they could underperceive the mate&apos;s desirability, which might lead to missing a valuable opportunity. How do people balance the risks of these errors, and do men and women respond differently? Based on an analysis of the relative costs of these two types of error, we generated two new hypotheses about biases in initial person perception: the Male Overperception of Attractiveness Bias (MOAB) and the Female Underperception of Attractive Bias (FUAB). Participants (N = 398), who were recruited via social media, an email distribution list, and snowball sampling, rated the attractiveness of unfamiliar opposite-sex targets twice: once from a blurred image, and once from a clear image. By randomizing order of presentation (blurred first vs. clear first), we isolated the unique effects of uncertainty-which was only present when the participant saw the blurred image first. As predicted, men overperceived women&apos;s attractiveness, on average. By contrast, as predicted, women underperceived men&apos;s attractiveness, on average. Because multiple possible decision rules could produce these effects, the effects do not reveal the algorithm responsible for them. We explicitly addressed this level of analysis by identifying multiple candidate algorithms and testing the divergent predictions they yield. This suggested the existence of more nuanced biases: men overperceived the attractiveness of unattractive (but not attractive) women, whereas women underperceived the attractiveness of attractive (but not unattractive) men. These findings highlight the importance of incorporating algorithm in analyses of cognitive biases.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10602 - Biology (theoretical, mathematical, thermal, cryobiology, biological rhythm), Evolutionary biology

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Evolution and Human Behavior

  • ISSN

    1090-5138

  • e-ISSN

    1879-0607

  • Volume of the periodical

    43

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    10

  • Pages from-to

    87-96

  • UT code for WoS article

    000758675600001

  • EID of the result in the Scopus database

    2-s2.0-85121767057