Evidence map›Paper›PMID 40338893›Full record

ArticlePloS one2025

Regulation of interpersonal distance in virtual reality: Implications for socio-emotional functioning in late adulthood.

Bozana Meinhardt-Injac, Isabelle Boutet, Laurence Chaby, Christoph von Castell, Robin Welsch

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Bozana Meinhardt-InjacDepartment of Developmental Psychology, Catholic University of Applied Sciences Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0001-7023-8100
Isabelle BoutetSchool of Psychology, University of Ottawa, Ottawa, Canada.
Laurence ChabyVision Action Cognition, Université Paris Cité, Paris, France.
Christoph von CastellDepartment of Psychology, Johannes Gutenberg-University Mainz, Mainz, Germany.
Robin WelschDepartment of Engineering Psychology, Aalto University, Espoo, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAccurately interpreting emotional states from facial expressions is crucial for effective social interactions. This study investigates age-related differences in interpersonal distance (IPD) regulation and emotion recognition using a virtual reality (VR) environment. We examined how younger and older adults adjust their IPD in response to emotional expressions from virtual agents.

methodsEighty participants, divided into older adults (OA) and younger adults (YA), took part in the study. Participants were immersed in a VR setup where they engaged in social interactions with happy or angry looking virtual agents. This behavioral task was complemented by a standardized emotion recognition task (ERT).

resultsResults showed that both YA and OA preferred larger distances from angry-looking virtual agents compared to happy ones. No significant differences in IPD were found between the age groups. However, older adults were less accurate in recognizing facial expressions.

conclusionThese findings suggest that older adults can effectively regulate their social distance despite potential challenges in emotion recognition. The study underscores the importance of considering cognitive, perceptual, and motivational factors when examining the dynamics of emotional recognition and interpersonal distance in social contexts.

Indexed as

EmotionsInterpersonal RelationsVirtual RealityAdultAgedFacial ExpressionFemaleHumansMaleMiddle AgedSocial InteractionYoung Adult

Identifiers

PMID40338893
PMCPMC12061152

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.