Evidence map›Paper›PMID 40343357›Full record

ArticleThe British journal of occupational therapy2024

Qualitative outcomes and impact of a robotic intervention on children with autism spectrum disorder: A multiple embedded case study.

Eva Yin-Han Chung, Kenneth Kuen-Fung Sin, Daniel Hung-Kay Chow

Abstract read
In one paragraph

Article in The British journal of occupational therapy, 2024. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

3 authors.

Eva Yin-Han ChungFaculty of Medicine, Health and Life Science, Swansea University, Swansea, UK.ORCID https://orcid.org/0000-0003-4054-0645
Kenneth Kuen-Fung SinDepartment of Special Education and Counseling, The Education University of Hong Kong, Hong Kong.
Daniel Hung-Kay ChowDepartment of Health and Physical Education, The Education University of Hong Kong, Hong Kong.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most studies of social robot interventions for children with autism spectrum disorder have been laboratory experiments focusing on component skills. There is insufficient evidence documenting the qualitative impact of such programmes on social development and participation of children with autism spectrum disorder. This study aimed to identify the qualitative outcomes of a robot-mediated social skills training programme for children with autism spectrum disorder, examine the impact of such programmes on children's social participation and identify the essential elements of robotic interventions that are conducive to children's social development. A case study approach with a multiple case study design was adopted. Sixteen children with autism spectrum disorder, aged 5-11 years, were included. Participants received 12 weekly sessions of robot-mediated social skills training. The successful outcomes relating to social participation were identified as enhanced verbal expression, social awareness and emotional reciprocity. The impacts of the programme on personal development were identified as enhanced self-esteem, self-confidence and emotional expression. Robot friendship, the role of the robot as a facilitator and the presence of a human instructor capable of leading the programme were identified as essential elements of the positive changes. The encounter with a social robot was regarded as meaningful and important to the children with autism spectrum disorder.

Indexed as

autismCanadian Occupational Performance Measureparticipationsocial developmentSocial robotics

Identifiers

PMID40343357
PMCPMC11887874

What OpenQuestion holds

Textmetadata
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Registered trials

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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.