Evidence map›Paper›PMID 41883551›Full record

ArticleDigital health

A qualitative study investigating caregiver perspectives of an artificial intelligence assistive device to support daily activities in families with children with autism spectrum disorder.

Nina Perry, Kelsie A Boulton, Lorna Hankin, Bruna B Roisenberg, Adam J Guastella

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Nina PerryClinic for Autism and Neurodevelopmental (CAN) Research, Brain and Mind Centre, University of Sydney, Sydney, Australia.ORCID https://orcid.org/0009-0004-7278-2563
Kelsie A BoultonClinic for Autism and Neurodevelopmental (CAN) Research, Brain and Mind Centre, University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-9408-7367
Lorna HankinClinic for Autism and Neurodevelopmental (CAN) Research, Brain and Mind Centre, University of Sydney, Sydney, Australia.
Bruna B RoisenbergClinic for Autism and Neurodevelopmental (CAN) Research, Brain and Mind Centre, University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-9453-9474
Adam J GuastellaClinic for Autism and Neurodevelopmental (CAN) Research, Brain and Mind Centre, University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0001-8178-4625

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Children with autism spectrum disorder (ASD) and their families report diverse challenges in adaptive functioning. Artificial intelligence (AI)-assistive devices can offer innovative solutions to support adaptive functioning by offering real time assistance and capacity to adapt to heterogenous needs. Objective: This qualitative study utilised an AI-assistive device, the Pixi Home-Hub, to explore caregiver perspectives, experiences and needs related to the broader potential of AI to support adaptive functioning in their daily lives. Methods: Criterion purposive sampling recruited 10 caregivers of children with ASD. Two focus groups were conducted to discuss how an AI-assistive device, the Pixi Home-Hub, could support their child and families adaptive functioning. Content analysis was utilised to interpret the data. Independent coding by a second reviewer, analytical memos and peer review were employed to promote rigour. Results: Three key themes emerged from the data: (1) Caregiver experiences of their child's adaptive functioning in daily activities and areas for growth, (2) Caregiver experiences of balancing their child's support needs with their own, and (3) Access and barriers to integrating AI technology into everyday use. Conclusion: Caregivers believed that AI-technology can play a role in supporting their family's adaptive functioning activities and proposed using AI-assistive devices as a digital support navigator to facilitate greater access to health and government supports.

Indexed as

Adaptive functioningAIartificial intelligencedigital health supportqualitative

Identifiers

PMID41883551
PMCPMC13009858

What OpenQuestion holds

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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.