Comparing the effectiveness of virtual reality and video modelling as an intervention strategy for individuals with Autism Spectrum Disorder: Brief report

Fitzgerald, Emily; Yap, Hui Kee; Ashton, Charlotte; Moore, Dennis W.; Furlonger, Brett; Anderson, Angelika; Kickbush, Richard; Donald, James N.; Busacca, Margherita; English, Derek Leo

doi:10.1080/17518423.2018.1432713

Cited by 24 publications

(12 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Compared with the studies undertaken by Liu et al (2016) and Wan et al (2019), we wished to create a more life‐like scenario rather than a face on the computer, to investigate children's visual mechanism for real‐life scenes. VR has been applied in disease intervention due to its sense of presence (Didehbani et al, 2016; Fitzgerald et al, 2018). Therefore, we proposed to let participants become immersed in the VR environment and track their eye movement.…”

Section: Asd and Traditional Diagnostic Methodsmentioning

confidence: 99%

Autistic spectrum traits detection and early screening: A machine learning based eye movement study

Lin

et al. 2021

Child Adoles Psych Nursing

View full text Add to dashboard Cite

Problem Autism spectrum disorders (ASD) are pervasive neurodevelopmental disorders and generally accompanied by social disorders, verbal or nonverbal communication defects, inability to concentrate and other negative symptoms that affect the autistic person's normal life. However, traditional screening methods are time‐consuming and public health resources are limited. Methods This study proposed a novel technique that combined eye‐movement data and machine learning algorithms for predicting autistic traits. We converted raw eye movement data into features, trained and tested a model for early screening. Findings In the preliminary experiment, 107 participants (average age = 24.84 ± 5.24 years) wore HTC Vive to watch a VR scene for 15–20 s. We explored eight classification models, among which the ensemble model performed best, with 0.73 accuracy, 0.68 precision, 0.81 recall, 0.74 F1‐score, and an area under the curve of 0.90. And in the test experiment, 22 participants (average age = 12.68 ± 7.61 years) diagnosed as ASD took the experiment and the ensemble model showed a recall of 0.77. Eye movement data is an effectively distinguishable tool and we find that the proportion of time to observe figure and animal region continuously can distinguish participants with obvious and unobvious autistic traits effectively in the model. Conclusion This study focuses on the detection of autistic traits, and proposes a more objective and faster method for undertaking early screening, which provides possibilities to save precious time to intervene and alleviate its symptoms before making a definite diagnosis.

show abstract

Section: Asd and Traditional Diagnostic Methodsmentioning

confidence: 99%

Autistic spectrum traits detection and early screening: A machine learning based eye movement study

Lin

et al. 2021

Child Adoles Psych Nursing

View full text Add to dashboard Cite

show abstract

“…In addition to understanding the effectiveness of VR systems with this population, thorough investigation into pragmatic issues and side effects is warranted. VR systems are expensive and challenging from a technical point of view (Fitzgerald et al, 2018). Moreover, certain immersive VR systems (e.g., head-mounted displays) could cause side effects such as disorientation and safety concerns because the participant, while engaged in the virtual environment, is isolated from potential obstacles in the real environment (Ip et al, 2018).…”

Section: High-tech At Use For Students With Asdmentioning

confidence: 99%

Technology-Aided Interventions for Individuals With Autism: Implications for Policy and Practice

Pham

Bennett

Zetina

2019

Policy Insights from the Behavioral and Brain Sciences

View full text Add to dashboard Cite

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by pervasive difficulties in reciprocal social-communication skills and restricted, repetitive interests and behaviors. Advances in assistive technology can potentially improve the functional capabilities of individuals with ASD. This article reviews current legislation and professional standards related to educating students with ASD with an emphasis on technology and evidence-based practices. In particular, the article summarizes technology-aided interventions (e.g., speech-generating devices, computer-assisted instruction, video-based instruction, virtual reality, and robot-mediated interventions) that focused on social-communication skills among individuals with ASD. Implications and future directions of technology-aided interventions are discussed.

show abstract

“…There is a growing body of research suggesting that virtual reality is useful for individuals with an ASD in terms of assessment and as a therapeutic aid (Bellini, Fornasari, Chittaro, & Brambilla, 2011). With the potential to simulate specific environments and high degree of experimental control, it is likely that virtual reality will play a crucial role in risk assessments of individuals with an ASD in HSPC, as well as perhaps offer novel therapeutic approaches (Benbouriche, Nolet, Trottier, & Renaud, 2014;Fitzgerald, Yap, Ashton, Moore, Furlonger, Anderson, & English et al, 2018;Parsons, 2016).…”

Section: Use Of New Technologies In Assessments and Therapeutic Intermentioning

confidence: 99%

Autism spectrum disorders in high secure psychiatric care: a review of literature, future research and clinical directions

Murphy

Allely

2019

AIA

View full text Add to dashboard Cite

Purpose The purpose of this paper is to review available literature targeting the assessment and management of individuals with an autism spectrum disorder (ASD) admitted to high secure psychiatric care (HSPC). Key areas of examination include the prevalence of ASD in HSPC, how individuals with an ASD differ from other patient groups in clinical and cognitive characteristics, the views of staff regarding patients with an ASD, an exploration of the experiences and quality of life of patients with an ASD, as well as treatment and interventions. Design/methodology/approach A review of the published literature. Findings Although individuals with an ASD comprise a relatively small proportion of the total HSPC cohort, they appear to be over represented relative to the general population prevalence. Several research projects suggest that individuals with an ASD present with difficulties and needs different to other patient groups, as well as being viewed by staff as potentially vulnerable and requiring a different care approach. Individuals with an ASD report both positive and negative aspects to life in HSPC. Practical implications Suggestions are made with regard to how individuals with an ASD might be better managed in HSPC. Following the spirit of various pieces of government legislation such as the Autism Act (2009) and the Equalities Act (2010) the role of a specialist ASD HSPC service is proposed. Originality/value This paper provides a detailed review of the research to date exploring the assessment and management of individuals with an ASD detained in HSPC. It outlines key research findings, highlights limitations with it and provides a personal perspective on future research and clinical targets.

show abstract

Comparing the effectiveness of virtual reality and video modelling as an intervention strategy for individuals with Autism Spectrum Disorder: Brief report

Abstract: The results suggest that VM was more effective than VR in facilitating learning. Implications for future research are discussed.

Cited by 24 publications

References 34 publications

Autistic spectrum traits detection and early screening: A machine learning based eye movement study

Autistic spectrum traits detection and early screening: A machine learning based eye movement study

Technology-Aided Interventions for Individuals With Autism: Implications for Policy and Practice

Autism spectrum disorders in high secure psychiatric care: a review of literature, future research and clinical directions

Contact Info

Product

Resources

About