Evidence map›Paper›PMID 40687622›Full record

ArticleProceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting2024

Exploring Neurodiverse Collaboration Between Autistic and Non-autistic Adults in an Online Setting: A Pilot Study.

Manhua Wang, Megan Fok, Jisun Kim, Victoria Izaac, Caroline Byrd Hornburg, Angela Scarpa, Myounghoon Jeon, Sunwook Kim

Abstract read
In one paragraph

Article in Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting, 2024. 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

8 authors.

Manhua WangVirginia Tech, Blacksburg, USA.ORCID 0000-0002-4400-1393
Megan FokVirginia Tech, Blacksburg, USA.
Jisun KimVirginia Tech, Blacksburg, USA.ORCID 0000-0002-6726-0611
Victoria IzaacVirginia Tech, Blacksburg, USA.
Caroline Byrd HornburgVirginia Tech, Blacksburg, USA.
Angela ScarpaVirginia Tech, Blacksburg, USA.
Myounghoon JeonVirginia Tech, Blacksburg, USA.
Sunwook KimVirginia Tech, Blacksburg, USA.ORCID 0000-0003-3624-1781

Funding

Development of machine learning methods to support collaboration in a neurodiverse team at workR03MH129734 · NIMH · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI KIM, SUN WOOK · 2022 to 2023
$142k
NIMH NIH HHS R03 MH129734
6 · The paper itself

Abstract

Employment is an important aspect of independent adulthood, yet autistic adults typically face substantial barriers in the labor market, including high rates of un- and under-employment. To promote an inclusive workplace, the present study explored collaboration dynamics between autistic and non-autistic adults as they worked toward shared team goals in an online setting. We recruited nine dyads, including three dyads of non-autistic adults with an autistic adult (NA-AA), and six dyads of non-autistic adults (NA-NA). Our findings demonstrated that neurodiverse collaboration (autistic and non-autistic adults together) could lead to improved task efficiency at the group level and higher perceived team performance in individuals. However, in these collaborative settings, autistic adults reported higher levels of depression, anxiety, and stress compared to their non-autistic partners. Our findings demonstrate the unique contributions that autistic adults may bring into the workplace and highlight the need to develop workplace technologies supporting their collaborative experiences.

Indexed as

behavioral codingneurodiverse workplaceteam collaborationteam performance

Identifiers

PMID40687622
PMCPMC12273868

What OpenQuestion holds

Textmetadata
LicenceTDM
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.