Taking the perspectives of many people: Humanization matters.


Journal

Psychonomic bulletin & review
ISSN: 1531-5320
Titre abrégé: Psychon Bull Rev
Pays: United States
ID NLM: 9502924

Informations de publication

Date de publication:
Jun 2021
Historique:
accepted: 15 11 2020
pubmed: 16 12 2020
medline: 22 7 2021
entrez: 15 12 2020
Statut: ppublish

Résumé

In a busy space, people encounter many other people with different viewpoints, but classic studies of perspective-taking examine only one agent at a time. This paper explores the issue of selectivity in visual perspective-taking (VPT) when different people are available to interact with. We consider the hypothesis that humanization impacts on VPT in four studies using virtual reality methods. Experiments 1 and 2 use the director task to show that for more humanized agents (an in-group member or a virtual human agent), participants were more likely to use VPT to achieve lower error rate. Experiments 3 and 4 used a two-agent social mental rotation task to show that participants are faster and more accurate to recognize items which are oriented towards a more humanized agent (an in-group member or a naturally moving agent). All results support the claim that humanization alters the propensity to engage in VPT in rich social contexts.

Identifiants

pubmed: 33319316
doi: 10.3758/s13423-020-01850-4
pii: 10.3758/s13423-020-01850-4
pmc: PMC8219553
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

888-897

Subventions

Organisme : H2020 European Research Council
ID : 313398-INTERACT
Organisme : Japan Society for the Promotion of Science
ID : 15J00570

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Auteurs

Tian Ye (T)

Institute of Cognitive Neuroscience, University College London, London, UK.

Fumikazu Furumi (F)

Japan Society for the Promotion of Science, and Graduate School of Human Development and Environment, Kobe University, Kobe, Japan.

Daniel Catarino da Silva (D)

Institute of Cognitive Neuroscience, University College London, London, UK.

Antonia Hamilton (A)

Institute of Cognitive Neuroscience, University College London, London, UK. a.hamilton@ucl.ac.uk.

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Classifications MeSH