Evidence map›Paper›PMID 36636343›Full record

ArticleiScience2023

Virtual accident curb risk habituation in workers by restoring sensory responses to real-world warning.

Namgyun Kim, Laurent Grégoire, Moein Razavi, Niya Yan, Changbum R Ahn, Brian A Anderson

Open access · goldAbstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

3 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Rethinking Distraction.Visual cognition · 2024
    Article
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

6 authors at 3 institutions in 2 countries.

Namgyun KimDepartment of Civil and Environmental Engineering and Engineering Mechanics, University of Dayton, Dayton, OH, USA.
Laurent GrégoireDepartment of Psychological and Brain Sciences, Texas A&M University, College Station, TX, USA.
Moein RazaviDepartment of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA.
Niya YanDepartment of Psychological and Brain Sciences, Texas A&M University, College Station, TX, USA.
Changbum R AhnDepartment of Architecture and Architectural Engineering, Seoul National University, Seoul, South Korea.
Brian A AndersonDepartment of Psychological and Brain Sciences, Texas A&M University, College Station, TX, USA.
Texas A&M University · USSeoul National University · KRUniversity of Dayton · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In high-risk work environments, workers become habituated to hazards they frequently encounter, subsequently underestimating risk and engaging in unsafe behaviors. This phenomenon has been termed "risk habituation" and identified as a vital root cause of fatalities and injuries at workplaces. Providing an effective intervention that curbs workers' risk habituation is critical in preventing occupational injuries and fatalities. However, there exists no empirically supported intervention for curbing risk habituation. To this end, here we investigated how experiencing an accident in a virtual reality (VR) environment affects workers' risk habituation toward repeatedly exposed workplace hazards. We examined an underlying mechanism of risk habituation at the sensory level and evaluated the effect of the accident intervention through electroencephalography (EEG). The results of pre- and posttreatment analyses indicate experiencing the virtual accident effectively curbs risk habituation at both the behavioral and sensory level. The findings open new vistas for occupational safety training.

Indexed as

Behavioral neuroscienceCognitive neuroscienceTechniques in neuroscience

Identifiers

PMID36636343
PMCPMC9830218
OpenAlexW4313334234

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.