Evidence map›Paper›PMID 38784821›Full record

ArticleInternational journal of human-computer interaction2024

Assistive technology for adults on the autism spectrum: A systematic survey.

Manhua Wang, Myounghoon Jeon

Abstract read
In one paragraph

Article in International journal of human-computer interaction, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Employment-Related Assistive Technology Needs in Autistic Adults: A Mixed-Methods Study.European journal of investigation in health, psychology and education · 2025
    Article
  3. Review
  4. Exploring Neurodiverse Collaboration Between Autistic and Non-autistic Adults in an Online Setting: A Pilot Study.Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting · 2024
    Article
  5. 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

2 authors.

Manhua WangVirginia Tech, Blacksburg, Virginia, United States.
Myounghoon JeonVirginia Tech, Blacksburg, Virginia, United States.

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

While the needs and care for children on the autism spectrum have been widely investigated, the intervention and services available to autistic adults have been overlooked for a long time. This survey paper reviewed 32 articles that described and evaluated assistive technologies that have been developed and evaluated through a complete circle of interactive product design from ideation, prototype, and user evaluation. These assistive technologies aim to improve independence and living quality in autistic adults. We extracted information from the perspective of requirement gathering, technology designing, and effectiveness of evaluation in the design cycle. We found a general lack of requirements-driven design, and the evaluation process was not standardized either. The lack of requirement gathering results in designs purely based on existing literature without targeting actual user needs. Our synthesis of included paper contributes to developing iterative design considerations in assistive technologies for autistic adults. We also suggest that assistive technologies for autistic adults shift some attention from assisting only autistic adults who require at least substantial support to embracing also those who have been living independently but rather have difficulties in social interaction. Assistive technologies for them have the potentials to help them consolidate and enhance their experiences in independent living.

Indexed as

assistive technologyautism spectrum disorderautistic adultsuser-centered design

Identifiers

PMID38784821
PMCPMC11114460

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.