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Evidence for content-dependent timing of real-life events during COVID-19 crisis
How do people estimate the time of past events? A prominent hypothesis suggests that there are multiple timing systems which operate in parallel, depending on circumstances. However, quantitative evidence supporting this hypothesis focused solely on short time-scales (seconds to minutes) and lab-pro...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161651/ https://www.ncbi.nlm.nih.gov/pubmed/35654909 http://dx.doi.org/10.1038/s41598-022-13076-6 |
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author | Taub, Keren Abeles, Dekel Yuval-Greenberg, Shlomit |
author_facet | Taub, Keren Abeles, Dekel Yuval-Greenberg, Shlomit |
author_sort | Taub, Keren |
collection | PubMed |
description | How do people estimate the time of past events? A prominent hypothesis suggests that there are multiple timing systems which operate in parallel, depending on circumstances. However, quantitative evidence supporting this hypothesis focused solely on short time-scales (seconds to minutes) and lab-produced events. Furthermore, these studies typically examined the effect of the circumstance and the psychological state of the participant rather than the content of the timed events. Here, we provide, for the first time, support for multiple content-based timing systems when estimating the time of real-life events over long time-scales. The study was conducted during the COVID-19 crisis, which provided a rare opportunity to examine real-life time perception when many were exposed to similar meaningful events. Participants (N = 468) were asked to retrospectively estimate the time that has passed since prominent events, that were either related or unrelated to the pandemic. Results showed an overall time-inflation, which was decreased for events related to the pandemic. This indicates that long-term subjective timing of real-life events exists in multiple systems, which are affected not only by circumstances, but also by content. |
format | Online Article Text |
id | pubmed-9161651 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91616512022-06-02 Evidence for content-dependent timing of real-life events during COVID-19 crisis Taub, Keren Abeles, Dekel Yuval-Greenberg, Shlomit Sci Rep Article How do people estimate the time of past events? A prominent hypothesis suggests that there are multiple timing systems which operate in parallel, depending on circumstances. However, quantitative evidence supporting this hypothesis focused solely on short time-scales (seconds to minutes) and lab-produced events. Furthermore, these studies typically examined the effect of the circumstance and the psychological state of the participant rather than the content of the timed events. Here, we provide, for the first time, support for multiple content-based timing systems when estimating the time of real-life events over long time-scales. The study was conducted during the COVID-19 crisis, which provided a rare opportunity to examine real-life time perception when many were exposed to similar meaningful events. Participants (N = 468) were asked to retrospectively estimate the time that has passed since prominent events, that were either related or unrelated to the pandemic. Results showed an overall time-inflation, which was decreased for events related to the pandemic. This indicates that long-term subjective timing of real-life events exists in multiple systems, which are affected not only by circumstances, but also by content. Nature Publishing Group UK 2022-06-02 /pmc/articles/PMC9161651/ /pubmed/35654909 http://dx.doi.org/10.1038/s41598-022-13076-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Taub, Keren Abeles, Dekel Yuval-Greenberg, Shlomit Evidence for content-dependent timing of real-life events during COVID-19 crisis |
title | Evidence for content-dependent timing of real-life events during COVID-19 crisis |
title_full | Evidence for content-dependent timing of real-life events during COVID-19 crisis |
title_fullStr | Evidence for content-dependent timing of real-life events during COVID-19 crisis |
title_full_unstemmed | Evidence for content-dependent timing of real-life events during COVID-19 crisis |
title_short | Evidence for content-dependent timing of real-life events during COVID-19 crisis |
title_sort | evidence for content-dependent timing of real-life events during covid-19 crisis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161651/ https://www.ncbi.nlm.nih.gov/pubmed/35654909 http://dx.doi.org/10.1038/s41598-022-13076-6 |
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