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Calculated Feelings: How Children Use Probability to Infer Emotions
Developing the ability to accurately infer others’ emotions is crucial for children’s cognitive development. Here, we offer a new theoretical perspective on how children develop this ability. We first review recent work showing that with age, children increasingly use probability to infer emotions....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MIT Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631798/ https://www.ncbi.nlm.nih.gov/pubmed/37946853 http://dx.doi.org/10.1162/opmi_a_00111 |
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author | Doan, Tiffany Friedman, Ori Denison, Stephanie |
author_facet | Doan, Tiffany Friedman, Ori Denison, Stephanie |
author_sort | Doan, Tiffany |
collection | PubMed |
description | Developing the ability to accurately infer others’ emotions is crucial for children’s cognitive development. Here, we offer a new theoretical perspective on how children develop this ability. We first review recent work showing that with age, children increasingly use probability to infer emotions. We discuss how these findings do not fit with prominent accounts of how children understand emotions, namely the script account and the theory of mind account. We then outline a theory of how probability allows children to infer others’ emotions. Specifically, we suggest that probability provides children with information about how much weight to put on alternative outcomes, allowing them to infer emotions by comparing outcomes to counterfactual alternatives. |
format | Online Article Text |
id | pubmed-10631798 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MIT Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106317982023-11-09 Calculated Feelings: How Children Use Probability to Infer Emotions Doan, Tiffany Friedman, Ori Denison, Stephanie Open Mind (Camb) Research Article Developing the ability to accurately infer others’ emotions is crucial for children’s cognitive development. Here, we offer a new theoretical perspective on how children develop this ability. We first review recent work showing that with age, children increasingly use probability to infer emotions. We discuss how these findings do not fit with prominent accounts of how children understand emotions, namely the script account and the theory of mind account. We then outline a theory of how probability allows children to infer others’ emotions. Specifically, we suggest that probability provides children with information about how much weight to put on alternative outcomes, allowing them to infer emotions by comparing outcomes to counterfactual alternatives. MIT Press 2023-10-27 /pmc/articles/PMC10631798/ /pubmed/37946853 http://dx.doi.org/10.1162/opmi_a_00111 Text en © 2023 Massachusetts Institute of Technology https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Research Article Doan, Tiffany Friedman, Ori Denison, Stephanie Calculated Feelings: How Children Use Probability to Infer Emotions |
title | Calculated Feelings: How Children Use Probability to Infer Emotions |
title_full | Calculated Feelings: How Children Use Probability to Infer Emotions |
title_fullStr | Calculated Feelings: How Children Use Probability to Infer Emotions |
title_full_unstemmed | Calculated Feelings: How Children Use Probability to Infer Emotions |
title_short | Calculated Feelings: How Children Use Probability to Infer Emotions |
title_sort | calculated feelings: how children use probability to infer emotions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631798/ https://www.ncbi.nlm.nih.gov/pubmed/37946853 http://dx.doi.org/10.1162/opmi_a_00111 |
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