Evidence map›Paper›PMID 34658502›Full record

ArticleComputers in human behavior2022

The role of social virtual world in increasing psychological resilience during the on-going COVID-19 pandemic.

Iman Paul, Smaraki Mohanty, Rumela Sengupta

Open access · greenAbstract read
In one paragraph

Article in Computers in human behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
60.3field-weighted citation impact, top 1% of its field
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

7 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
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  4. Transforming health through the metaverse.Journal of the Royal Society of Medicine · 2022
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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

3 authors at 3 institutions in 1 country.

Iman PaulDavid D. Reh School of Business, Clarkson University, United States.
Smaraki MohantyMartha and Spencer Love School of Business, Elon University, United States.
Rumela SenguptaUniversity of Illinois at Chicago, United States.
Clarkson University · USElon University · USUniversity of Illinois Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 2020 COVID-19 pandemic has not only impacted the physical health of individuals but the fear and anxiety of contracting the disease has also contributed to psychological distress among people. The current research identifies a novel coping strategy to strengthen individuals' psychological resilience against the pandemic. Study 1 (N = 210) and Study 2 (N = 93) showed significant beneficial effect of representing oneself via avatar in social virtual world (SVW) on the psychological resilience towards contracting COVID-19. Study 2 also showed that this effect is explained by the disembodied (i.e., out-of-body) experience one encounters in the SVW by digitally representing oneself via an avatar), which enables SVW users to project themselves onto a character in a parallel world that is immune to the COVID-19 virus, thus alleviating the anxiety of contracting the virus themselves in the real world. Additionally, it ruled out alternate explanations like escapism and enjoyment. The findings extend the Proteus effect (i.e., individuals behaviorally conform with their avatar's visual/physical appearance) to a more innate feature of the avatar-its imperviousness from the human body's limitations. The results have important implications for health policy makers along with making a strong case for marketing computer-simulated games like SVWs as virtual therapy tools.

Indexed as

AvatarCOVID-19Proteus effectPsychological resilienceSocial virtual world

Identifiers

PMID34658502
PMCPMC8504069
OpenAlexW3201958561

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.