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Dynamic prediction during perception of everyday events
The ability to predict what is going to happen in the near future is integral for daily functioning. Previous research suggests that predictability varies over time, with increases in prediction error at those moments that people perceive as boundaries between meaningful events. These moments also t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6311167/ https://www.ncbi.nlm.nih.gov/pubmed/30594977 http://dx.doi.org/10.1186/s41235-018-0146-z |
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author | Eisenberg, Michelle L. Zacks, Jeffrey M. Flores, Shaney |
author_facet | Eisenberg, Michelle L. Zacks, Jeffrey M. Flores, Shaney |
author_sort | Eisenberg, Michelle L. |
collection | PubMed |
description | The ability to predict what is going to happen in the near future is integral for daily functioning. Previous research suggests that predictability varies over time, with increases in prediction error at those moments that people perceive as boundaries between meaningful events. These moments also tend to be points of rapid change in the environment. Eye tracking provides a method for noninterruptive measurement of prediction as participants watch a movie of an actor performing a series of actions. In two studies, we used eye tracking to study the time course of prediction around event boundaries. In both studies, viewers looked at objects that were about to be touched by the actor shortly before the objects were contacted, demonstrating predictive looking. However, this behavior was modulated by event boundaries: looks to to-be-contacted objects near event boundaries were less likely to be early and more likely to be late compared to looks to objects contacted within events. This result is consistent with theories proposing that event segmentation results from transient increases in prediction error. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s41235-018-0146-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6311167 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-63111672019-01-11 Dynamic prediction during perception of everyday events Eisenberg, Michelle L. Zacks, Jeffrey M. Flores, Shaney Cogn Res Princ Implic Original Article The ability to predict what is going to happen in the near future is integral for daily functioning. Previous research suggests that predictability varies over time, with increases in prediction error at those moments that people perceive as boundaries between meaningful events. These moments also tend to be points of rapid change in the environment. Eye tracking provides a method for noninterruptive measurement of prediction as participants watch a movie of an actor performing a series of actions. In two studies, we used eye tracking to study the time course of prediction around event boundaries. In both studies, viewers looked at objects that were about to be touched by the actor shortly before the objects were contacted, demonstrating predictive looking. However, this behavior was modulated by event boundaries: looks to to-be-contacted objects near event boundaries were less likely to be early and more likely to be late compared to looks to objects contacted within events. This result is consistent with theories proposing that event segmentation results from transient increases in prediction error. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s41235-018-0146-z) contains supplementary material, which is available to authorized users. Springer International Publishing 2018-12-29 /pmc/articles/PMC6311167/ /pubmed/30594977 http://dx.doi.org/10.1186/s41235-018-0146-z Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Eisenberg, Michelle L. Zacks, Jeffrey M. Flores, Shaney Dynamic prediction during perception of everyday events |
title | Dynamic prediction during perception of everyday events |
title_full | Dynamic prediction during perception of everyday events |
title_fullStr | Dynamic prediction during perception of everyday events |
title_full_unstemmed | Dynamic prediction during perception of everyday events |
title_short | Dynamic prediction during perception of everyday events |
title_sort | dynamic prediction during perception of everyday events |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6311167/ https://www.ncbi.nlm.nih.gov/pubmed/30594977 http://dx.doi.org/10.1186/s41235-018-0146-z |
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