Evidence map›Paper›PMID 32827328›Full record

ReviewPsychiatry and clinical neurosciences2020

Optimal robot for intervention for individuals with autism spectrum disorders.

Hirokazu Kumazaki, Taro Muramatsu, Yuichiro Yoshikawa, Yoshio Matsumoto, Hiroshi Ishiguro, Mitsuru Kikuchi, Tomiki Sumiyoshi, Masaru Mimura

Open access · hybridAbstract readReview
In one paragraph

Review in Psychiatry and clinical neurosciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 82 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Employment-Related Assistive Technology Needs in Autistic Adults: A Mixed-Methods Study.European journal of investigation in health, psychology and education · 2025
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Assistive technology for adults on the autism spectrum: A systematic survey.International journal of human-computer interaction · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors at 5 institutions in 2 countries.

Hirokazu KumazakiDepartment of Preventive Intervention for Psychiatric Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.ORCID https://orcid.org/0000-0002-2567-0276
Taro MuramatsuDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Yuichiro YoshikawaDepartment of Systems Innovation, Graduate School of Engineering Science, Osaka University, Osaka, Japan.
Yoshio MatsumotoService Robotics Research Group, Intelligent Systems Institute, National Institute of Advanced Industrial Science and Technology, Ibaraki, Japan.
Hiroshi IshiguroDepartment of Systems Innovation, Graduate School of Engineering Science, Osaka University, Osaka, Japan.
Mitsuru KikuchiResearch Center for Child Mental Development, Kanazawa University, Ishikawa, Japan.
Tomiki SumiyoshiDepartment of Preventive Intervention for Psychiatric Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.ORCID https://orcid.org/0000-0001-9629-1671
Masaru MimuraDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Kanazawa University · JPKeio University · JPThe University of Osaka · JPNational Center of Neurology and Psychiatry · JPRobotics Research (United States) · US

Funding

Grants-in-Aid for Scientific Research from the Japan Society for the Promotion of Science 19H04880
6 · The paper itself

Abstract

With recent rapid advances in technology, human-like robots have begun functioning in a variety of ways. As increasing anecdotal evidence suggests, robots may offer many unique opportunities for helping individuals with autism spectrum disorders (ASD). Individuals with ASD often achieve a higher degree of task engagement through the interaction with robots than through interactions with human trainees. The type and form of robots to be used for individuals with ASD have been meticulously considered. Simple robots and animal robots are acceptable because of their simplicity and the ease of interesting and engaging interactions. Android robots have the benefit of the potential of generalization into daily life to some extent. Considering the affinity between robots and users is important to draw out the potential capabilities of robotic intervention to the fullest extent. In the robotic condition, factors such as the appearance, biological motion, clothes, hairstyle, and disposition are important. Many factors of a user, such as age, sex, and IQ, may also affect the affinity of individuals with ASD toward a robot. The potential end-users of this technology may be unaware or unconvinced of the potential roles of robots in ASD interventions. If trainers have extensive experience in using robots, they can identify many potential roles of robots based on their experience. To date, only a few studies have been conducted in the field of robotics for providing assistance to individuals with ASD, and future studies are needed to realize an optimal robot for this purpose.

Indexed as

RoboticsAutism Spectrum DisorderHumansPsychiatric Rehabilitationaffinityandroid robotautism spectrum disorderpotential rolesimple robot

Identifiers

PMID32827328
PMCPMC7692924
OpenAlexW3081302096

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.