Looking for Mr(s) Right : Decision bias can prevent us from finding the most attractive person. / Furl, Nicholas; Averbeck, Bruno; McKay, Ryan.

In: Cognitive Psychology, Vol. 111, 06.2019, p. 1-14.

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Looking for Mr(s) Right : Decision bias can prevent us from finding the most attractive person. / Furl, Nicholas; Averbeck, Bruno; McKay, Ryan.

In: Cognitive Psychology, Vol. 111, 06.2019, p. 1-14.

Research output: Contribution to journalArticlepeer-review

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@article{a6c3b8581b1c47eb8901cc37bdb1a289,
title = "Looking for Mr(s) Right: Decision bias can prevent us from finding the most attractive person",
abstract = "In realistic and challenging decision contexts, people may show biases that prevent them from choosing their favored options. For example, astronomer Johannes Kepler famously interviewed several candidate fianc{\'e}es sequentially, but was rejected when attempting to return to a previous candidate. Similarly, we examined human performance on searches for attractive faces through fixed-length sequences by adapting optimal stopping computational theory developed from behavioral ecology and economics. Although economics studies have repeatedly found that participants sample too few options before choosing the best-ranked number from a series, we instead found overlong searches with many sequences ending without choice. Participants employed irrationally high choice thresholds, compared to the more lax, realistic standards of a Bayesian ideal observer, which achieved better ranked faces. We consider several computational accounts and find that participants most resemble a Bayesian model that decides based on altered attractiveness values. These values may produce starkly different biases in the facial attractiveness domain than in other decision domains. ",
author = "Nicholas Furl and Bruno Averbeck and Ryan McKay",
year = "2019",
month = jun,
doi = "10.1016/j.cogpsych.2019.02.002",
language = "English",
volume = "111",
pages = "1--14",
journal = "Cognitive Psychology",
issn = "0010-0285",
publisher = "Academic Press Inc.",

}

RIS

TY - JOUR

T1 - Looking for Mr(s) Right

T2 - Decision bias can prevent us from finding the most attractive person

AU - Furl, Nicholas

AU - Averbeck, Bruno

AU - McKay, Ryan

PY - 2019/6

Y1 - 2019/6

N2 - In realistic and challenging decision contexts, people may show biases that prevent them from choosing their favored options. For example, astronomer Johannes Kepler famously interviewed several candidate fiancées sequentially, but was rejected when attempting to return to a previous candidate. Similarly, we examined human performance on searches for attractive faces through fixed-length sequences by adapting optimal stopping computational theory developed from behavioral ecology and economics. Although economics studies have repeatedly found that participants sample too few options before choosing the best-ranked number from a series, we instead found overlong searches with many sequences ending without choice. Participants employed irrationally high choice thresholds, compared to the more lax, realistic standards of a Bayesian ideal observer, which achieved better ranked faces. We consider several computational accounts and find that participants most resemble a Bayesian model that decides based on altered attractiveness values. These values may produce starkly different biases in the facial attractiveness domain than in other decision domains.

AB - In realistic and challenging decision contexts, people may show biases that prevent them from choosing their favored options. For example, astronomer Johannes Kepler famously interviewed several candidate fiancées sequentially, but was rejected when attempting to return to a previous candidate. Similarly, we examined human performance on searches for attractive faces through fixed-length sequences by adapting optimal stopping computational theory developed from behavioral ecology and economics. Although economics studies have repeatedly found that participants sample too few options before choosing the best-ranked number from a series, we instead found overlong searches with many sequences ending without choice. Participants employed irrationally high choice thresholds, compared to the more lax, realistic standards of a Bayesian ideal observer, which achieved better ranked faces. We consider several computational accounts and find that participants most resemble a Bayesian model that decides based on altered attractiveness values. These values may produce starkly different biases in the facial attractiveness domain than in other decision domains.

U2 - 10.1016/j.cogpsych.2019.02.002

DO - 10.1016/j.cogpsych.2019.02.002

M3 - Article

VL - 111

SP - 1

EP - 14

JO - Cognitive Psychology

JF - Cognitive Psychology

SN - 0010-0285

ER -