Evidence map›Paper›PMID 37514598›Full record

ArticleSensors (Basel, Switzerland)2023

Familiarization with Mixed Reality for Individuals with Autism Spectrum Disorder: An Eye Tracking Study.

Maxime Leharanger, Eder Alejandro Rodriguez Martinez, Olivier Balédent, Luc Vandromme

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

4 authors.

Maxime LeharangerUR 7516 Laboratory CHIMERE, University of Picardie Jules Verne, 80000 Amiens, France.ORCID 0009-0004-5342-6352
Eder Alejandro Rodriguez MartinezUR 7516 Laboratory CHIMERE, University of Picardie Jules Verne, 80000 Amiens, France.ORCID 0000-0002-5175-0384
Olivier BalédentUR 7516 Laboratory CHIMERE, University of Picardie Jules Verne, 80000 Amiens, France.ORCID 0000-0001-6028-6440
Luc VandrommeUR 7516 Laboratory CHIMERE, University of Picardie Jules Verne, 80000 Amiens, France.

Funding

ANRT 2020/073
6 · The paper itself

Abstract

Mixed Reality (MR) technology is experiencing significant growth in the industrial and healthcare sectors. The headset HoloLens 2 displays virtual objects (in the form of holograms) in the user's environment in real-time. Individuals with Autism Spectrum Disorder (ASD) exhibit, according to the DSM-5, persistent deficits in communication and social interaction, as well as a different sensitivity compared to neurotypical (NT) individuals. This study aims to propose a method for familiarizing eleven individuals with severe ASD with the HoloLens 2 headset and the use of MR technology through a tutorial. The secondary objective is to obtain quantitative learning indicators in MR, such as execution speed and eye tracking (ET), by comparing individuals with ASD to neurotypical individuals. We observed that 81.81% of individuals with ASD successfully familiarized themselves with MR after several sessions. Furthermore, the visual activity of individuals with ASD did not differ from that of neurotypical individuals when they successfully familiarized themselves. This study thus offers new perspectives on skill acquisition indicators useful for supporting neurodevelopmental disorders. It contributes to a better understanding of the neural mechanisms underlying learning in MR for individuals with ASD.

Indexed as

Augmented RealityAutism Spectrum DisorderEye-Tracking TechnologyHumansLearningSocial InteractionASDautismeye trackingfamiliarizationlearningmixed realitytrainingvisual attention

Identifiers

PMID37514598
PMCPMC10383879

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.