Evidence map›Paper›PMID 33948824›Full record

ArticleJournal of autism and developmental disorders2022

Visual Detection and Decoding Skills of Aerial Photography by Adults with Autism Spectrum Disorder (ASD).

Hadas Marciano, Eynat Gal, Ruth Kimchi, Darren Hedley, Yael Goldfarb, Yoram S Bonneh

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In one paragraph

Article in Journal of autism and developmental disorders, 2022. 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

6 authors.

Hadas MarcianoThe Institute of Information Processing and Decision Making (IIPDM), Ergonomics and Human Factors Unit, University of Haifa, 199 Aba Khoushy Ave. Mount Carmel, 3498838, Haifa, Israel. hmarcia1@univ.haifa.ac.il.ORCID http://orcid.org/0000-0002-6225-9873
Eynat GalDepartment of Occupational Therapy, University of Haifa, Haifa, Israel.
Ruth KimchiDepartment of Psychology and Institute of Information Processing and Decision Making, University of Haifa, Haifa, Israel.
Darren HedleyOlga Tennison Autism Research Centre, School of Psychology and Public Health, La Trobe University, Melbourne, Australia.
Yael GoldfarbDepartment of Occupational Therapy, University of Haifa, Haifa, Israel.
Yoram S BonnehSchool of Optometry and Vision Science, Faculty of Life Science, Bar-Ilan University, Ramat Gan, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite challenges in social communication skills people with ASD often display strengths in visual processing. Aerial photography analysis is an occupation reliant on strong visual processing skills that matches this unique profile. We investigated basic-vision and "real-life" visual tasks in 20 cognitively-able young adults with ASD and 20 typically-developed (TD) "gamers". Basic-vision tests included Visual-Search, Embedded-Figures, and Vigilance; "real-life" tests included aerial-photograph detection and identification. Groups performed equally well, and did not differ significantly on any tasks. The study demonstrates strong visual skills in people with ASD in basic and "real-life" settings, and supports the idea that they may be well suited for employment in occupations that demand high visual perception skills such as aerial photography analysis.

Indexed as

Autism Spectrum DisorderCognitionHumansPhotographySocial SkillsVisual PerceptionYoung AdultAutism spectrum disordersCognition (attention, learning, memory)Visual decodingVisual perceptionVisual searchVocational/labor force participation

Identifiers

PMID33948824

What OpenQuestion holds

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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.