Assessment of threat and negativity bias in virtual reality.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
15 10 2020
Historique:
received: 18 06 2020
accepted: 28 09 2020
entrez: 16 10 2020
pubmed: 17 10 2020
medline: 17 10 2020
Statut: epublish

Résumé

Negativity bias, i.e., tendency to respond strongly to negative stimuli, can be captured via behavioural and psychophysiological responses to potential threat. A virtual environment (VE) was created at room-scale wherein participants traversed a grid of ice blocks placed 200 m above the ground. Threat was manipulated by increasing the probability of encountering ice blocks that disintegrated and led to a virtual fall. Participants interacted with the ice blocks via sensors placed on their feet. Thirty-four people were recruited for the study, who were divided into High (HN) and Low (LN) Neuroticism groups. Movement data were recorded alongside skin conductance level and facial electromyography from the corrugator supercilii and zygomaticus major. Risk-averse behaviours, such as standing on 'safe' blocks and testing blocks prior to movement, increased when threat was highest. HN individuals exhibited more risk-averse behaviour than the LN group, especially in the presence of high threat. In addition, activation of the corrugator muscle was higher for HN individuals in the period following a movement to an ice block. These findings are discussed with respect to the use of room-scale VE as a protocol for emotion induction and measuring trait differences in negativity bias within VR.

Identifiants

pubmed: 33060767
doi: 10.1038/s41598-020-74421-1
pii: 10.1038/s41598-020-74421-1
pmc: PMC7566621
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

17338

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Auteurs

Christopher Baker (C)

School of Psychology, Liverpool John Moores University, Liverpool, UK.

Ralph Pawling (R)

School of Psychology, Liverpool John Moores University, Liverpool, UK.

Stephen Fairclough (S)

School of Psychology, Liverpool John Moores University, Liverpool, UK. s.fairclough@ljmu.ac.uk.

Classifications MeSH