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Testing the somatic marker hypothesis in decisions-from-experience with non-stationary outcome probabilities

INTRODUCTION: The Somatic Marker Hypothesis (SMH) posits that in experience-based choice, people develop physiological reactions that mark options as either positive or negative. These somatic markers aid decision making because they differentiate between “good” and “bad” options during pre-choice d...

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Autores principales: Wright, Rebecca J., Rakow, Tim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10419193/
https://www.ncbi.nlm.nih.gov/pubmed/37575439
http://dx.doi.org/10.3389/fpsyg.2023.1195009
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author Wright, Rebecca J.
Rakow, Tim
author_facet Wright, Rebecca J.
Rakow, Tim
author_sort Wright, Rebecca J.
collection PubMed
description INTRODUCTION: The Somatic Marker Hypothesis (SMH) posits that in experience-based choice, people develop physiological reactions that mark options as either positive or negative. These somatic markers aid decision making because they differentiate between “good” and “bad” options during pre-choice deliberation. METHODS: We examined this proposed role for somatic states in two decision-from-experience tasks (each N = 36) in which participants selected repeatedly with full feedback (i.e., for obtained and forgone outcomes) between two unlabeled options that returned wins or losses, with half receiving an additional summary of past outcomes. The probabilities of good and bad outcomes changed at an unannounced point. Participants completed a 100-trial game with a switch in the optimal option after trial 40 (Study 1) or a 200-trial game with switch points after trial 40 and trial 120 (Study 2). Skin conductance (SC) was measured continuously as an index of emotional intensity, from which we extracted measures of anticipatory SC (pre-choice) and outcome SC (post-choice). RESULTS: Participants reliably selected the optimal option prior to any switches. They also altered their choices appropriately when the payoffs changed, though optimal play following payoff switches was reduced. Losses resulted in a greater outcome SC than wins, but only in Study 1, as did the finding that the outcome SC was greater when the forgone outcome was positive. Anticipatory SC did not reliably predict optimal play in either study. DISCUSSION: These results provide little support for the SMH. Our studies point to the importance of using diverse tasks and measures and very large sample sizes when testing the role of somatic states in decision making.
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spelling pubmed-104191932023-08-12 Testing the somatic marker hypothesis in decisions-from-experience with non-stationary outcome probabilities Wright, Rebecca J. Rakow, Tim Front Psychol Psychology INTRODUCTION: The Somatic Marker Hypothesis (SMH) posits that in experience-based choice, people develop physiological reactions that mark options as either positive or negative. These somatic markers aid decision making because they differentiate between “good” and “bad” options during pre-choice deliberation. METHODS: We examined this proposed role for somatic states in two decision-from-experience tasks (each N = 36) in which participants selected repeatedly with full feedback (i.e., for obtained and forgone outcomes) between two unlabeled options that returned wins or losses, with half receiving an additional summary of past outcomes. The probabilities of good and bad outcomes changed at an unannounced point. Participants completed a 100-trial game with a switch in the optimal option after trial 40 (Study 1) or a 200-trial game with switch points after trial 40 and trial 120 (Study 2). Skin conductance (SC) was measured continuously as an index of emotional intensity, from which we extracted measures of anticipatory SC (pre-choice) and outcome SC (post-choice). RESULTS: Participants reliably selected the optimal option prior to any switches. They also altered their choices appropriately when the payoffs changed, though optimal play following payoff switches was reduced. Losses resulted in a greater outcome SC than wins, but only in Study 1, as did the finding that the outcome SC was greater when the forgone outcome was positive. Anticipatory SC did not reliably predict optimal play in either study. DISCUSSION: These results provide little support for the SMH. Our studies point to the importance of using diverse tasks and measures and very large sample sizes when testing the role of somatic states in decision making. Frontiers Media S.A. 2023-07-28 /pmc/articles/PMC10419193/ /pubmed/37575439 http://dx.doi.org/10.3389/fpsyg.2023.1195009 Text en Copyright © 2023 Wright and Rakow. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Wright, Rebecca J.
Rakow, Tim
Testing the somatic marker hypothesis in decisions-from-experience with non-stationary outcome probabilities
title Testing the somatic marker hypothesis in decisions-from-experience with non-stationary outcome probabilities
title_full Testing the somatic marker hypothesis in decisions-from-experience with non-stationary outcome probabilities
title_fullStr Testing the somatic marker hypothesis in decisions-from-experience with non-stationary outcome probabilities
title_full_unstemmed Testing the somatic marker hypothesis in decisions-from-experience with non-stationary outcome probabilities
title_short Testing the somatic marker hypothesis in decisions-from-experience with non-stationary outcome probabilities
title_sort testing the somatic marker hypothesis in decisions-from-experience with non-stationary outcome probabilities
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10419193/
https://www.ncbi.nlm.nih.gov/pubmed/37575439
http://dx.doi.org/10.3389/fpsyg.2023.1195009
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