Decomposing loss aversion from gaze allocation and pupil dilation.
drift-diffusion model
gaze allocation
loss aversion
pupil dilation
Journal
Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876
Informations de publication
Date de publication:
26 05 2020
26 05 2020
Historique:
pubmed:
10
5
2020
medline:
25
8
2020
entrez:
10
5
2020
Statut:
ppublish
Résumé
Loss-averse decisions, in which one avoids losses at the expense of gains, are highly prevalent. However, the underlying mechanisms remain controversial. The prevailing account highlights a valuation bias that overweighs losses relative to gains, but an alternative view stresses a response bias to avoid choices involving potential losses. Here we couple a computational process model with eye-tracking and pupillometry to develop a physiologically grounded framework for the decision process leading to accepting or rejecting gambles with equal odds of winning and losing money. Overall, loss-averse decisions were accompanied by preferential gaze toward losses and increased pupil dilation for accepting gambles. Using our model, we found gaze allocation selectively indexed valuation bias, and pupil dilation selectively indexed response bias. Finally, we demonstrate that our computational model and physiological biomarkers can identify distinct types of loss-averse decision makers who would otherwise be indistinguishable using conventional approaches. Our study provides an integrative framework for the cognitive processes that drive loss-averse decisions and highlights the biological heterogeneity of loss aversion across individuals.
Identifiants
pubmed: 32385152
pii: 1919670117
doi: 10.1073/pnas.1919670117
pmc: PMC7260957
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
11356-11363Subventions
Organisme : NIMH NIH HHS
ID : P50 MH113840
Pays : United States
Organisme : NIMH NIH HHS
ID : R37 MH109728
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH108627
Pays : United States
Informations de copyright
Copyright © 2020 the Author(s). Published by PNAS.
Références
Mol Psychiatry. 2013 Jan;18(1):3-4
pubmed: 22349782
Proc Natl Acad Sci U S A. 1996 Jan 23;93(2):628-33
pubmed: 8570606
Proc Natl Acad Sci U S A. 2009 Mar 31;106(13):5035-40
pubmed: 19289824
Comput Psychiatr. 2017 Oct 01;1:24-57
pubmed: 29601060
Front Neuroinform. 2013 Aug 02;7:14
pubmed: 23935581
Curr Biol. 2007 Oct 9;17(19):1704-7
pubmed: 17884499
J Neurosci. 2013 Sep 4;33(36):14307-17
pubmed: 24005284
Proc Natl Acad Sci U S A. 2014 Feb 4;111(5):E618-25
pubmed: 24449874
J Cogn. 2018 Feb 21;1(1):16
pubmed: 31517190
Psychol Sci. 2015 Jul;26(7):1123-30
pubmed: 26063441
Nature. 2015 Apr 9;520(7546):220-3
pubmed: 25600270
Behav Res Methods. 2019 Jun;51(3):1336-1342
pubmed: 29992408
Proc Natl Acad Sci U S A. 2010 Feb 23;107(8):3788-92
pubmed: 20142490
Psychol Res. 2019 Oct;83(7):1327-1339
pubmed: 29663131
Neuron. 2014 May 7;82(3):709-20
pubmed: 24811387
J Exp Psychol Gen. 2014 Aug;143(4):1476-88
pubmed: 24548281
Science. 2007 Jan 26;315(5811):515-8
pubmed: 17255512
Nat Neurosci. 2010 Oct;13(10):1292-8
pubmed: 20835253
Front Psychol. 2017 Oct 10;8:1708
pubmed: 29066987
Behav Brain Res. 2014 Jul 1;267:26-32
pubmed: 24657593
Neuron. 2016 Jan 6;89(1):221-34
pubmed: 26711118
Nat Neurosci. 2003 Dec;6(12):1317-22
pubmed: 14608360
J Neurosci. 2005 Nov 9;25(45):10420-36
pubmed: 16280581
J Exp Psychol Gen. 2018 Feb;147(2):147-169
pubmed: 29369680
Front Psychol. 2012 Jun 13;3:193
pubmed: 22707945
Cogn Psychol. 2020 Dec;123:101331
pubmed: 32777328
Trends Cogn Sci. 2016 Apr;20(4):260-281
pubmed: 26952739