Evidence map›Paper›PMID 36850787›Full record

ArticleSensors (Basel, Switzerland)2023

On the Evaluation of Engagement in Immersive Applications When Users Are on the Autism Spectrum.

Laura Tarantino, Margherita Attanasio, Tania Di Mascio, Giovanni De Gasperis, Marco Valenti, Monica Mazza

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. Review
  2. Article
  3. Review
  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

6 authors.

Laura TarantinoDepartment of Information Engineering, Computer Science, and Mathematics, University of L'Aquila, Via Vetoio, 67100 L'Aquila, Italy.
Margherita AttanasioDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio, 67100 L'Aquila, Italy.
Tania Di MascioDepartment of Information Engineering, Computer Science, and Mathematics, University of L'Aquila, Via Vetoio, 67100 L'Aquila, Italy.
Giovanni De GasperisDepartment of Information Engineering, Computer Science, and Mathematics, University of L'Aquila, Via Vetoio, 67100 L'Aquila, Italy.ORCID 0000-0001-9521-4711
Marco ValentiDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio, 67100 L'Aquila, Italy.ORCID 0000-0001-9043-3456
Monica MazzaDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio, 67100 L'Aquila, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New generation wearable devices allow for the development of interactive environments tailored for Virtual Reality (VR)- and Augmented Reality (AR)-based treatment of Autism Spectrum Disorders (ASD). Experts agree on their potential; however, there is lack of consensus on how to perform trials and the need arises for evaluation frameworks, methods, and techniques appropriate for the ASD population. In this paper, we report on a study conducted with high-functioning ASD people in the 21-23 age range, with the objectives of (1) evaluating the engagement of two headsets offering distinct immersive experiences, (2) reasoning on the interpretation of engagement factors in the case of ASD people, and (3) translating results into general guidelines for the development of VR/AR-based ASD treatment. To this aim, we (1) designed two engagement evaluation frameworks based on behavioral observation measures, (2) set up two packages of reference immersive scenarios, (3) defined the association between metrics and scenarios, and (4) administered the scenarios in distinct sessions for the investigated headsets. Results show that the immersive experiences are engaging and that the apparent lack of success of some evaluation factors can become potential advantages within the framework of VR/AR-based ASD treatment design.

Indexed as

Augmented RealityAutism Spectrum DisorderAutistic DisorderBenchmarkingConsensusHumansaugmented realityautismICT-enhanced ASD treatmentsocial impactvirtual realityVR solution assessment

Identifiers

PMID36850787
PMCPMC9963697

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.