Evidence map›Paper›PMID 38206652›Full record

ArticleJMIR formative research2024

Promoting Self-Efficacy of Individuals With Autism in Practicing Social Skills in the Workplace Using Virtual Reality and Physiological Sensors: Mixed Methods Study.

Sung-In Kim, So-Youn Jang, Taewan Kim, Bogoan Kim, Dayoung Jeong, Taehyung Noh, Mingon Jeong, Kaely Hall, Meelim Kim, Hee Jeong Yoo and 3 more

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. 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

13 authors at 6 institutions in 2 countries.

Sung-In KimDepartment of Psychiatry, Seoul National University Bundang Hospital, Bundang, Republic of Korea.ORCID https://orcid.org/0000-0001-7627-2756
So-Youn JangGeorgia Institute of Technology, Atlanta, GA, United States.ORCID https://orcid.org/0000-0003-2324-5337
Taewan KimDepartment of Industrial Design, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0001-8578-5342
Bogoan KimDepartment of Data Science, Hanyang University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-9083-1128
Dayoung JeongDepartment of Artificial Intelligence, Hanyang University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-8347-4986
Taehyung NohDepartment of Artificial Intelligence, Hanyang University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-1449-510X
Mingon JeongDepartment of Artificial Intelligence, Hanyang University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-8076-2755
Kaely HallSchool of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, United States.ORCID https://orcid.org/0000-0003-1266-8908
Meelim KimDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-0507-1727
Hee Jeong YooDepartment of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.ORCID https://orcid.org/0000-0003-0521-2718
Kyungsik HanDepartment of Data Science, Hanyang University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-5535-0081
Hwajung Hong *Department of Industrial Design, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0001-5268-3331
Jennifer G Kim *Georgia Institute of Technology, Atlanta, GA, United States.ORCID https://orcid.org/0000-0003-3253-3963
Hanyang University · KRGeorgia Institute of Technology · USKorea Advanced Institute of Science and Technology · KRSeoul National University · KRSeoul National University Bundang Hospital · KRUniversity of San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividuals with autism often experience heightened anxiety in workplace environments because of challenges in communication and sensory overload. As these experiences can result in negative self-image, promoting their self-efficacy in the workplace is crucial. Virtual reality (VR) systems have emerged as promising tools for enhancing the self-efficacy of individuals with autism in navigating social scenarios, aiding in the identification of anxiety-inducing situations, and preparing for real-world interactions. However, there is limited research exploring the potential of VR to enhance self-efficacy by facilitating an understanding of emotional and physiological states during social skills practice.

objectiveThis study aims to develop and evaluate a VR system that enabled users to experience simulated work-related social scenarios and reflect on their behavioral and physiological data through data visualizations. We intended to investigate how these data, combined with the simulations, can support individuals with autism in building their self-efficacy in social skills.

methodsWe developed WorkplaceVR, a comprehensive VR system designed for engagement in simulated work-related social scenarios, supplemented with data-driven reflections of users' behavioral and physiological responses. A within-subject deployment study was subsequently conducted with 14 young adults with autism to examine WorkplaceVR's feasibility. A mixed methods approach was used, compassing pre- and postsystem use assessments of participants' self-efficacy perceptions.

resultsThe study results revealed WorkplaceVR's effectiveness in enhancing social skills and self-efficacy among individuals with autism. First, participants exhibited a statistically significant increase in perceived self-efficacy following their engagement with the VR system (P=.02). Second, thematic analysis of the interview data confirmed that the VR system and reflections on the data fostered increased self-awareness among participants about social situations that trigger their anxiety, as well as the behaviors they exhibit during anxious moments. This increased self-awareness prompted the participants to recollect their related experiences in the real world and articulate anxiety management strategies. Furthermore, the insights uncovered motivated participants to engage in self-advocacy, as they wanted to share the insights with others.

conclusionsThis study highlights the potential of VR simulations enriched with physiological and behavioral sensing as a valuable tool for augmenting self-efficacy in workplace social interactions for individuals with autism. Data reflection facilitated by physiological sensors helped participants with autism become more self-aware of their emotions and behaviors, advocate for their characteristics, and develop positive self-beliefs.

Indexed as

autismdata reflectionself-efficacysocial skillsvirtual realityworkplace

Identifiers

PMID38206652
PMCPMC10811570
OpenAlexW4388142922

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.