Contour features predict valence and threat judgements in scenes

Abstract Quickly scanning an environment to determine relative threat is an essential part of survival. Scene gist extracted rapidly from the environment may help people detect threats. Here, we probed this link between emotional judgements and features of visual scenes. We first extracted curvature...

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Autores principales:	Claudia Damiano, Dirk B. Walther, William A. Cunningham
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/707e80bd42b34fc6abb6b3b3a6a990d0
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id	oai:doaj.org-article:707e80bd42b34fc6abb6b3b3a6a990d0
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spelling	oai:doaj.org-article:707e80bd42b34fc6abb6b3b3a6a990d02021-12-02T19:16:46ZContour features predict valence and threat judgements in scenes10.1038/s41598-021-99044-y2045-2322https://doaj.org/article/707e80bd42b34fc6abb6b3b3a6a990d02021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-99044-yhttps://doaj.org/toc/2045-2322Abstract Quickly scanning an environment to determine relative threat is an essential part of survival. Scene gist extracted rapidly from the environment may help people detect threats. Here, we probed this link between emotional judgements and features of visual scenes. We first extracted curvature, length, and orientation statistics of all images in the International Affective Picture System image set and related them to emotional valence scores. Images containing angular contours were rated as negative, and images containing long contours as positive. We then composed new abstract line drawings with specific combinations of length, angularity, and orientation values and asked participants to rate them as positive or negative, and as safe or threatening. Smooth, long, horizontal contour scenes were rated as positive/safe, while short angular contour scenes were rated as negative/threatening. Our work shows that particular combinations of image features help people make judgements about potential threat in the environment.Claudia DamianoDirk B. WaltherWilliam A. CunninghamNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Claudia Damiano Dirk B. Walther William A. Cunningham Contour features predict valence and threat judgements in scenes
description	Abstract Quickly scanning an environment to determine relative threat is an essential part of survival. Scene gist extracted rapidly from the environment may help people detect threats. Here, we probed this link between emotional judgements and features of visual scenes. We first extracted curvature, length, and orientation statistics of all images in the International Affective Picture System image set and related them to emotional valence scores. Images containing angular contours were rated as negative, and images containing long contours as positive. We then composed new abstract line drawings with specific combinations of length, angularity, and orientation values and asked participants to rate them as positive or negative, and as safe or threatening. Smooth, long, horizontal contour scenes were rated as positive/safe, while short angular contour scenes were rated as negative/threatening. Our work shows that particular combinations of image features help people make judgements about potential threat in the environment.
format	article
author	Claudia Damiano Dirk B. Walther William A. Cunningham
author_facet	Claudia Damiano Dirk B. Walther William A. Cunningham
author_sort	Claudia Damiano
title	Contour features predict valence and threat judgements in scenes
title_short	Contour features predict valence and threat judgements in scenes
title_full	Contour features predict valence and threat judgements in scenes
title_fullStr	Contour features predict valence and threat judgements in scenes
title_full_unstemmed	Contour features predict valence and threat judgements in scenes
title_sort	contour features predict valence and threat judgements in scenes
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/707e80bd42b34fc6abb6b3b3a6a990d0
work_keys_str_mv	AT claudiadamiano contourfeaturespredictvalenceandthreatjudgementsinscenes AT dirkbwalther contourfeaturespredictvalenceandthreatjudgementsinscenes AT williamacunningham contourfeaturespredictvalenceandthreatjudgementsinscenes
_version_	1718376918207692800

Contour features predict valence and threat judgements in scenes

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