Evidence map›Paper›PMID 23033333›Full record

ArticleIEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society2013

Design of a virtual reality based adaptive response technology for children with autism.

Uttama Lahiri, Esubalew Bekele, Elizabeth Dohrmann, Zachary Warren, Nilanjan Sarkar

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 7 pooled it
3.7field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 7 syntheses or guidelines pooled it, 155 citations in OpenAlex.

  1. Digital Horizons: Enhancing Autism Support with Augmented Reality.Journal of autism and developmental disorders · 2026
    Pooled it
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  7. Technologies as support tools for persons with autistic spectrum disorder: a systematic review.International journal of environmental research and public health · 2014
    Pooled it
  8. Promoting social attention in 3-year-olds with ASD through gaze-contingent eye tracking.Autism research : official journal of the International Society for Autism Research · 2020
    Trial
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  15. [Review of joint attention deficit intervention based on virtual reality for children with autism].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Review
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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 at 3 institutions in 2 countries.

Uttama LahiriElectrical Engineering Department, Indian Institute of Technology, Gandhinagar 382424, India. uttamalahiri@iitgn.ac.in
Esubalew Bekele
Elizabeth Dohrmann
Zachary Warren
Nilanjan Sarkar
Vanderbilt University · USIndian Institute of Technology Gandhinagar · INUniversity of Tennessee Health Science Center · US

Funding

Adaptive Response Technology for Autism Spectrum Disorders InterventionR01MH091102 · NIMH · VANDERBILT UNIVERSITY · PI SARKAR, NILANJAN · 2011 to 2015
$1.8M
NIMH NIH HHS 1R01MH091102-01A1NIMH NIH HHS R01 MH091102
6 · The paper itself

Abstract

Children with autism spectrum disorder (ASD) demonstrate potent impairments in social communication skills including atypical viewing patterns during social interactions. Recently, several assistive technologies, particularly virtual reality (VR), have been investigated to address specific social deficits in this population. Some studies have coupled eye-gaze monitoring mechanisms to design intervention strategies. However, presently available systems are designed to primarily chain learning via aspects of one's performance only which affords restricted range of individualization. The presented work seeks to bridge this gap by developing a novel VR-based interactive system with Gaze-sensitive adaptive response technology that can seamlessly integrate VR-based tasks with eye-tracking techniques to intelligently facilitate engagement in tasks relevant to advancing social communication skills. Specifically, such a system is capable of objectively identifying and quantifying one's engagement level by measuring real-time viewing patterns, subtle changes in eye physiological responses, as well as performance metrics in order to adaptively respond in an individualized manner to foster improved social communication skills among the participants. The developed system was tested through a usability study with eight adolescents with ASD. The results indicate the potential of the system to promote improved social task performance along with socially-appropriate mechanisms during VR-based social conversation tasks.

Indexed as

Interpersonal RelationsUser-Computer InterfaceAdolescentAutistic DisorderBiofeedback, PsychologyEquipment DesignEye MovementsFemaleFixation, OcularHumansImaging, Three-DimensionalMaleTherapy, Computer-AssistedTreatment Outcome

Identifiers

PMID23033333
PMCPMC3867261
OpenAlexW2000191594

What OpenQuestion holds

Textmetadata
LicenceTDM
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.