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Dynamic prediction during perception of everyday events.

作者信息

Eisenberg Michelle L, Zacks Jeffrey M, Flores Shaney

机构信息

Washington University in St. Louis, Sierra Pacific MIRECC, VAPAHCS, Stanford University School of Medicine, 3801 Miranda Ave (151 Y), BLDG 5, 4th Floor, Palo Alto, CA, 94304, USA.

Department of Psychological & Brain Sciences, Washington University in St. Louis, Campus Box 1125, 1 Brookings Drive, St. Louis, MO, 63130, USA.

出版信息

Cogn Res Princ Implic. 2018 Dec 29;3(1):53. doi: 10.1186/s41235-018-0146-z.


DOI:10.1186/s41235-018-0146-z
PMID:30594977
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6311167/
Abstract

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.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ce8/6311167/cfe699e75727/41235_2018_146_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ce8/6311167/e0a9b5616a1e/41235_2018_146_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ce8/6311167/cc3bb0a2aacd/41235_2018_146_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ce8/6311167/692c10624ffe/41235_2018_146_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ce8/6311167/4cafb21be16e/41235_2018_146_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ce8/6311167/cfe699e75727/41235_2018_146_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ce8/6311167/e0a9b5616a1e/41235_2018_146_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ce8/6311167/cc3bb0a2aacd/41235_2018_146_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ce8/6311167/692c10624ffe/41235_2018_146_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ce8/6311167/4cafb21be16e/41235_2018_146_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ce8/6311167/cfe699e75727/41235_2018_146_Fig5_HTML.jpg

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Dynamic prediction during perception of everyday events.

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本文引用的文献

[1]
Gaze Control as Prediction.

Trends Cogn Sci. 2016-12-5

[2]
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Using movement and intentions to understand human activity.

Cognition. 2009-8

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J Exp Psychol Gen. 2009-5

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