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Be optimistic or be cautious? Affective forecasting bias in allocation decisions and its effect
INTRODUCTION: People’s forecasts of their future emotions play an essential role in their behavior and experience of well-being. However, their emotional reactions may fall short of what they expect, which has implications for subsequent decision making. The current paper investigated the accuracy o...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793408/ https://www.ncbi.nlm.nih.gov/pubmed/36582312 http://dx.doi.org/10.3389/fpsyg.2022.1026557 |
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author | Liu, Lei Sun, Wujun Fang, Ping Jiang, Yuan Tian, Li |
author_facet | Liu, Lei Sun, Wujun Fang, Ping Jiang, Yuan Tian, Li |
author_sort | Liu, Lei |
collection | PubMed |
description | INTRODUCTION: People’s forecasts of their future emotions play an essential role in their behavior and experience of well-being. However, their emotional reactions may fall short of what they expect, which has implications for subsequent decision making. The current paper investigated the accuracy of affective forecasting about resource allocations and how this (in)accuracy predicts future allocation decisions. METHODS: Two experimental studies were conducted. Study 1 (N = 84) examined the extent to which people can accurately predict how allocation decisions will feel using an ultimatum game on the part of the allocator. Study 2 tested whether the affective forecasting bias affects future allocation decisions, with 192 participants playing a two-round ultimatum game on the part of allocators. RESULTS: Study 1 found an affective forecasting bias, and people anticipated more powerful emotional reactions to both positive and negative allocation events than they actually experienced when the events occurred. Study 2 found that increased affective forecasting bias resulted in less generous decisions in positive event conditions and more generous decisions in negative event conditions. DISCUSSION: These results extend previous findings concerning affective forecasting bias and the feelings-as-information model in resource allocation interactions and show that the difference between anticipated and experienced emotion is also informative in allocation decisions. The results suggest that being more cautious when forecasting positive outcomes and more optimistic when forecasting negative outcomes can be beneficial to one’s well-being. |
format | Online Article Text |
id | pubmed-9793408 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97934082022-12-28 Be optimistic or be cautious? Affective forecasting bias in allocation decisions and its effect Liu, Lei Sun, Wujun Fang, Ping Jiang, Yuan Tian, Li Front Psychol Psychology INTRODUCTION: People’s forecasts of their future emotions play an essential role in their behavior and experience of well-being. However, their emotional reactions may fall short of what they expect, which has implications for subsequent decision making. The current paper investigated the accuracy of affective forecasting about resource allocations and how this (in)accuracy predicts future allocation decisions. METHODS: Two experimental studies were conducted. Study 1 (N = 84) examined the extent to which people can accurately predict how allocation decisions will feel using an ultimatum game on the part of the allocator. Study 2 tested whether the affective forecasting bias affects future allocation decisions, with 192 participants playing a two-round ultimatum game on the part of allocators. RESULTS: Study 1 found an affective forecasting bias, and people anticipated more powerful emotional reactions to both positive and negative allocation events than they actually experienced when the events occurred. Study 2 found that increased affective forecasting bias resulted in less generous decisions in positive event conditions and more generous decisions in negative event conditions. DISCUSSION: These results extend previous findings concerning affective forecasting bias and the feelings-as-information model in resource allocation interactions and show that the difference between anticipated and experienced emotion is also informative in allocation decisions. The results suggest that being more cautious when forecasting positive outcomes and more optimistic when forecasting negative outcomes can be beneficial to one’s well-being. Frontiers Media S.A. 2022-12-13 /pmc/articles/PMC9793408/ /pubmed/36582312 http://dx.doi.org/10.3389/fpsyg.2022.1026557 Text en Copyright © 2022 Liu, Sun, Fang, Jiang and Tian. 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 Liu, Lei Sun, Wujun Fang, Ping Jiang, Yuan Tian, Li Be optimistic or be cautious? Affective forecasting bias in allocation decisions and its effect |
title | Be optimistic or be cautious? Affective forecasting bias in allocation decisions and its effect |
title_full | Be optimistic or be cautious? Affective forecasting bias in allocation decisions and its effect |
title_fullStr | Be optimistic or be cautious? Affective forecasting bias in allocation decisions and its effect |
title_full_unstemmed | Be optimistic or be cautious? Affective forecasting bias in allocation decisions and its effect |
title_short | Be optimistic or be cautious? Affective forecasting bias in allocation decisions and its effect |
title_sort | be optimistic or be cautious? affective forecasting bias in allocation decisions and its effect |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793408/ https://www.ncbi.nlm.nih.gov/pubmed/36582312 http://dx.doi.org/10.3389/fpsyg.2022.1026557 |
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