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A map of decoy influence in human multialternative choice

Human decisions can be biased by irrelevant information. For example, choices between two preferred alternatives can be swayed by a third option that is inferior or unavailable. Previous work has identified three classic biases, known as the attraction, similarity, and compromise effects, which aris...

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Autores principales: Dumbalska, Tsvetomira, Li, Vickie, Tsetsos, Konstantinos, Summerfield, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547229/
https://www.ncbi.nlm.nih.gov/pubmed/32958673
http://dx.doi.org/10.1073/pnas.2005058117
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author Dumbalska, Tsvetomira
Li, Vickie
Tsetsos, Konstantinos
Summerfield, Christopher
author_facet Dumbalska, Tsvetomira
Li, Vickie
Tsetsos, Konstantinos
Summerfield, Christopher
author_sort Dumbalska, Tsvetomira
collection PubMed
description Human decisions can be biased by irrelevant information. For example, choices between two preferred alternatives can be swayed by a third option that is inferior or unavailable. Previous work has identified three classic biases, known as the attraction, similarity, and compromise effects, which arise during choices between economic alternatives defined by two attributes. However, the reliability, interrelationship, and computational origin of these three biases have been controversial. Here, a large cohort of human participants made incentive-compatible choices among assets that varied in price and quality. Instead of focusing on the three classic effects, we sampled decoy stimuli exhaustively across bidimensional multiattribute space and constructed a full map of decoy influence on choices between two otherwise preferred target items. Our analysis reveals that the decoy influence map is highly structured even beyond the three classic biases. We identify a very simple model that can fully reproduce the decoy influence map and capture its variability in individual participants. This model reveals that the three decoy effects are not distinct phenomena but are all special cases of a more general principle, by which attribute values are repulsed away from the context provided by rival options. The model helps us understand why the biases are typically correlated across participants and allows us to validate a prediction about their interrelationship. This work helps to clarify the origin of three of the most widely studied biases in human decision-making.
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spelling pubmed-75472292020-10-22 A map of decoy influence in human multialternative choice Dumbalska, Tsvetomira Li, Vickie Tsetsos, Konstantinos Summerfield, Christopher Proc Natl Acad Sci U S A Biological Sciences Human decisions can be biased by irrelevant information. For example, choices between two preferred alternatives can be swayed by a third option that is inferior or unavailable. Previous work has identified three classic biases, known as the attraction, similarity, and compromise effects, which arise during choices between economic alternatives defined by two attributes. However, the reliability, interrelationship, and computational origin of these three biases have been controversial. Here, a large cohort of human participants made incentive-compatible choices among assets that varied in price and quality. Instead of focusing on the three classic effects, we sampled decoy stimuli exhaustively across bidimensional multiattribute space and constructed a full map of decoy influence on choices between two otherwise preferred target items. Our analysis reveals that the decoy influence map is highly structured even beyond the three classic biases. We identify a very simple model that can fully reproduce the decoy influence map and capture its variability in individual participants. This model reveals that the three decoy effects are not distinct phenomena but are all special cases of a more general principle, by which attribute values are repulsed away from the context provided by rival options. The model helps us understand why the biases are typically correlated across participants and allows us to validate a prediction about their interrelationship. This work helps to clarify the origin of three of the most widely studied biases in human decision-making. National Academy of Sciences 2020-10-06 2020-09-21 /pmc/articles/PMC7547229/ /pubmed/32958673 http://dx.doi.org/10.1073/pnas.2005058117 Text en Copyright © 2020 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Biological Sciences
Dumbalska, Tsvetomira
Li, Vickie
Tsetsos, Konstantinos
Summerfield, Christopher
A map of decoy influence in human multialternative choice
title A map of decoy influence in human multialternative choice
title_full A map of decoy influence in human multialternative choice
title_fullStr A map of decoy influence in human multialternative choice
title_full_unstemmed A map of decoy influence in human multialternative choice
title_short A map of decoy influence in human multialternative choice
title_sort map of decoy influence in human multialternative choice
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547229/
https://www.ncbi.nlm.nih.gov/pubmed/32958673
http://dx.doi.org/10.1073/pnas.2005058117
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