Kinematics and observer-animator kinematic similarity predict mental state attribution from Heider–Simmel style animations

Abstract The ability to ascribe mental states, such as beliefs or desires to oneself and other individuals forms an integral part of everyday social interaction. Animations tasks, in which observers watch videos of interacting triangles, have been extensively used to test mental state attribution in...

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Autores principales:	Bianca A. Schuster, Dagmar S. Fraser, Jasper J. F. van den Bosch, Sophie Sowden, Andrew S. Gordon, Dongsung Huh, Jennifer L. Cook
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/18e5a620ff264e908a8bf4816eb586b3
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spelling	oai:doaj.org-article:18e5a620ff264e908a8bf4816eb586b32021-12-02T15:15:45ZKinematics and observer-animator kinematic similarity predict mental state attribution from Heider–Simmel style animations10.1038/s41598-021-97660-22045-2322https://doaj.org/article/18e5a620ff264e908a8bf4816eb586b32021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97660-2https://doaj.org/toc/2045-2322Abstract The ability to ascribe mental states, such as beliefs or desires to oneself and other individuals forms an integral part of everyday social interaction. Animations tasks, in which observers watch videos of interacting triangles, have been extensively used to test mental state attribution in a variety of clinical populations. Compared to control participants, individuals with clinical conditions such as autism typically offer less appropriate mental state descriptions of such videos. Recent research suggests that stimulus kinematics and movement similarity (between the video and the observer) may contribute to mental state attribution difficulties. Here we present a novel adaptation of the animations task, suitable to track and compare animation generator and -observer kinematics. Using this task and a population-derived stimulus database, we confirmed the hypotheses that an animation’s jerk and jerk similarity between observer and animator significantly contribute to the correct identification of an animation. By employing random forest analysis to explore other stimulus characteristics, we reveal that other indices of movement similarity, including acceleration- and rotation-based similarity, also predict performance. Our results highlight the importance of movement similarity between observer and animator and raise new questions about reasons why some clinical populations exhibit difficulties with this task.Bianca A. SchusterDagmar S. FraserJasper J. F. van den BoschSophie SowdenAndrew S. GordonDongsung HuhJennifer L. CookNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Bianca A. Schuster Dagmar S. Fraser Jasper J. F. van den Bosch Sophie Sowden Andrew S. Gordon Dongsung Huh Jennifer L. Cook Kinematics and observer-animator kinematic similarity predict mental state attribution from Heider–Simmel style animations
description	Abstract The ability to ascribe mental states, such as beliefs or desires to oneself and other individuals forms an integral part of everyday social interaction. Animations tasks, in which observers watch videos of interacting triangles, have been extensively used to test mental state attribution in a variety of clinical populations. Compared to control participants, individuals with clinical conditions such as autism typically offer less appropriate mental state descriptions of such videos. Recent research suggests that stimulus kinematics and movement similarity (between the video and the observer) may contribute to mental state attribution difficulties. Here we present a novel adaptation of the animations task, suitable to track and compare animation generator and -observer kinematics. Using this task and a population-derived stimulus database, we confirmed the hypotheses that an animation’s jerk and jerk similarity between observer and animator significantly contribute to the correct identification of an animation. By employing random forest analysis to explore other stimulus characteristics, we reveal that other indices of movement similarity, including acceleration- and rotation-based similarity, also predict performance. Our results highlight the importance of movement similarity between observer and animator and raise new questions about reasons why some clinical populations exhibit difficulties with this task.
format	article
author	Bianca A. Schuster Dagmar S. Fraser Jasper J. F. van den Bosch Sophie Sowden Andrew S. Gordon Dongsung Huh Jennifer L. Cook
author_facet	Bianca A. Schuster Dagmar S. Fraser Jasper J. F. van den Bosch Sophie Sowden Andrew S. Gordon Dongsung Huh Jennifer L. Cook
author_sort	Bianca A. Schuster
title	Kinematics and observer-animator kinematic similarity predict mental state attribution from Heider–Simmel style animations
title_short	Kinematics and observer-animator kinematic similarity predict mental state attribution from Heider–Simmel style animations
title_full	Kinematics and observer-animator kinematic similarity predict mental state attribution from Heider–Simmel style animations
title_fullStr	Kinematics and observer-animator kinematic similarity predict mental state attribution from Heider–Simmel style animations
title_full_unstemmed	Kinematics and observer-animator kinematic similarity predict mental state attribution from Heider–Simmel style animations
title_sort	kinematics and observer-animator kinematic similarity predict mental state attribution from heider–simmel style animations
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/18e5a620ff264e908a8bf4816eb586b3
work_keys_str_mv	AT biancaaschuster kinematicsandobserveranimatorkinematicsimilaritypredictmentalstateattributionfromheidersimmelstyleanimations AT dagmarsfraser kinematicsandobserveranimatorkinematicsimilaritypredictmentalstateattributionfromheidersimmelstyleanimations AT jasperjfvandenbosch kinematicsandobserveranimatorkinematicsimilaritypredictmentalstateattributionfromheidersimmelstyleanimations AT sophiesowden kinematicsandobserveranimatorkinematicsimilaritypredictmentalstateattributionfromheidersimmelstyleanimations AT andrewsgordon kinematicsandobserveranimatorkinematicsimilaritypredictmentalstateattributionfromheidersimmelstyleanimations AT dongsunghuh kinematicsandobserveranimatorkinematicsimilaritypredictmentalstateattributionfromheidersimmelstyleanimations AT jenniferlcook kinematicsandobserveranimatorkinematicsimilaritypredictmentalstateattributionfromheidersimmelstyleanimations
_version_	1718387492965580800

Kinematics and observer-animator kinematic similarity predict mental state attribution from Heider–Simmel style animations

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