scholarly journals Applications of assistive technology in skills development for people with Autism Spectrum Disorder: a systematic review

2021 ◽  
Vol 10 (11) ◽  
pp. e163101119690
Author(s):  
Christine K. Syriopoulou-Delli ◽  
Anastasia Stefani
Keyword(s):  
Systematic Review ◽  
Assistive Technology ◽  
Autism Spectrum ◽  
Critical Approach ◽  
Research Directions ◽  
Software Applications ◽  
Employment Skills ◽  
Positive Results ◽  
Final Selection ◽  
Selection Of

The purpose of this systematic review was to present, through a critical approach, interpretation and evaluation, the current assistive technology research directions, and the range, capabilities and efficiency of mobile devices and their respective software applications and the virtual reality and augmented reality environments used for people with autism. The aim was to identify the assistive technology practices applied for the development of communication, social and vocational-employment skills for people with autism, and to evaluate their acceptability and effectiveness. Search in electronic databases resulted in a final selection of 63 studies that met the inclusion criteria of the review, covering a total of 406 participants with autism. Analysis of the data from the studies provided largely positive results.

Assistive Technologies and Design for People With Autism Spectrum Disorders

2022 ◽  
pp. 48-70
Author(s):  
Denise Gulino
Keyword(s):  
Autism Spectrum Disorders ◽  
Job Performance ◽  
Assistive Technology ◽  
Academic Skills ◽  
Autism Spectrum ◽  
Assistive Technologies ◽  
Future Research ◽  
Spectrum Disorders ◽  
Positive Results ◽  
Specific Technology

This chapter has the aim to provide a concise overview of which assistive technology tools can be used to implement interventions for people with autism spectrum disorders and what developers and designers must take into account when they want to approach to the development of these technologies. Four areas of intervention have been identified: (1) treatment of phobias, (2) social interactions, (3) academic skills, (4) job performance. Ten contributions have been reviewed for a total of 216 participants. Positive results and limits of various studies have been identified. In each session a specific technology will be analyzed, and some general guidelines will be provided. Some suggestions will be emphasized for future research.

scholarly journals A Systematic Review of Translation and Cross-Cultural Adaptation of Instruments for the Selection of Assistive Technologies

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Bárbara Iansã de Lima Barroso ◽  
Cláudia Regina Cabral Galvão ◽  
Luiz Bueno da Silva ◽  
Selma Lancman
Keyword(s):  
Systematic Review ◽  
Assistive Technology ◽  
Cultural Adaptation ◽  
Web Of Science ◽  
Data Extraction ◽  
Cross Cultural ◽  
Assistive Technologies ◽  
Transcultural Adaptation ◽  
Selection Of

This article presents a systematic review, for which research was carried out in the following electronic databases: Web of Science, Scopus, PubMed, and ERIC, in which several articles were found (n=560). The results were analyzed based on the information obtained in the titles and abstracts, and the remaining studies were read in full for the analysis. The aim of this article was to identify the different questionnaires used for selecting items of assistive technology, describe and evaluate the translation and transcultural adaptation procedures, characterize the thematic domains of each resource, evaluate the cultural adaptation process adopted, and describe the psychometric properties. Data extraction and evaluation of the methodological quality of the eligible studies were performed in accordance with the COSMIN verification list with a checklist of 4 points. The publication of systematic review studies and others that synthesize research results is fundamental to provide support for change in the behavior of professionals in the field of health, and not only to access the available literature but also to incorporate this information into daily clinical practice. The results of this review could provide subsidies that would enable the planning, execution, identification, and choice of specific instruments for a determined study within the context of assistive technology, with a view to helping researchers and health professionals in clinical and investigatory practices.

Measurements of the Cape Astrometric Survey of the Southern Hemisphere

1978 ◽  
Vol 48 ◽  
pp. 515-521
Author(s):  
W. Nicholson
Keyword(s):  
Southern Hemisphere ◽  
Automatic Measuring ◽  
Measuring Machine ◽  
Final Selection ◽  
Selection Of

SummaryA routine has been developed for the processing of the 5820 plates of the survey. The plates are measured on the automatic measuring machine, GALAXY, and the measures are subsequently processed by computer, to edit and then refer them to the SAO catalogue. A start has been made on measuring the plates, but the final selection of stars to be made is still a matter for discussion.

Parent Education in Studies With Nonverbal and Minimally Verbal Participants With Autism Spectrum Disorder: A Systematic Review

2020 ◽  
Vol 29 (2) ◽  
pp. 890-902
Author(s):  
Lynn Kern Koegel ◽  
Katherine M. Bryan ◽  
Pumpki Lei Su ◽  
Mohini Vaidya ◽  
Stephen Camarata
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Parent Education ◽  
Autism Spectrum ◽  
Verbal Communication ◽  
Fidelity Of Implementation ◽  
Spectrum Disorder ◽  
Education Programs ◽  
Minimally Verbal ◽  
Parent Education Programs

Purpose The purpose of this systematic review was to identify parent education procedures implemented in intervention studies focused on expressive verbal communication for nonverbal (NV) or minimally verbal (MV) children with autism spectrum disorder (ASD). Parent education has been shown to be an essential component in the habilitation of individuals with ASD. Parents of individuals with ASD who are NV or MV may particularly benefit from parent education in order to provide opportunities for communication and to support their children across the life span. Method ProQuest databases were searched between the years of 1960 and 2018 to identify articles that targeted verbal communication in MV and NV individuals with ASD. A total of 1,231 were evaluated to assess whether parent education was implemented. We found 36 studies that included a parent education component. These were reviewed with regard to (a) the number of participants and participants' ages, (b) the parent education program provided, (c) the format of the parent education, (d) the duration of the parent education, (e) the measurement of parent education, and (f) the parent fidelity of implementation scores. Results The results of this analysis showed that very few studies have included a parent education component, descriptions of the parent education programs are unclear in most studies, and few studies have scored the parents' implementation of the intervention. Conclusions Currently, there is great variability in parent education programs in regard to participant age, hours provided, fidelity of implementation, format of parent education, and type of treatment used. Suggestions are made to provide both a more comprehensive description and consistent measurement of parent education programs.

Herbal Medicine as an Alternative Treatment in Autism Spectrum Disorder: A Systematic Review

2018 ◽  
Vol 19 (5) ◽  
pp. 454-459 ◽  
Author(s):  
Francielly Mourao Gasparotto ◽  
Francislaine Aparecida dos Reis Lívero ◽  
Sara Emilia Lima Tolouei Menegati ◽  
Arquimedes Gasparotto Junior
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Herbal Medicine ◽  
Alternative Treatment ◽  
Autism Spectrum ◽  
Spectrum Disorder

Diagnostic test accuracy for use of machine learning in diagnosis of autism spectrum disorder: A Systematic Review and Meta-Analysis (Preprint)

2019 ◽  
Author(s):  
Sun Jae Moon ◽  
Jin Seub Hwang ◽  
Rajesh Kana ◽  
John Torous ◽  
Jung Won Kim
Keyword(s):  
Machine Learning ◽  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Meta Analysis ◽  
Learning Algorithms ◽  
Structural Mri ◽  
Autism Spectrum ◽  
Machine Learning Algorithms ◽  
Spectrum Disorder ◽  
Test Accuracy

BACKGROUND Over the recent years, machine learning algorithms have been more widely and increasingly applied in biomedical fields. In particular, its application has been drawing more attention in the field of psychiatry, for instance, as diagnostic tests/tools for autism spectrum disorder. However, given its complexity and potential clinical implications, there is ongoing need for further research on its accuracy. OBJECTIVE The current study aims to summarize the evidence for the accuracy of use of machine learning algorithms in diagnosing autism spectrum disorder (ASD) through systematic review and meta-analysis. METHODS MEDLINE, Embase, CINAHL Complete (with OpenDissertations), PsyINFO and IEEE Xplore Digital Library databases were searched on November 28th, 2018. Studies, which used a machine learning algorithm partially or fully in classifying ASD from controls and provided accuracy measures, were included in our analysis. Bivariate random effects model was applied to the pooled data in meta-analysis. Subgroup analysis was used to investigate and resolve the source of heterogeneity between studies. True-positive, false-positive, false negative and true-negative values from individual studies were used to calculate the pooled sensitivity and specificity values, draw SROC curves, and obtain area under the curve (AUC) and partial AUC. RESULTS A total of 43 studies were included for the final analysis, of which meta-analysis was performed on 40 studies (53 samples with 12,128 participants). A structural MRI subgroup meta-analysis (12 samples with 1,776 participants) showed the sensitivity at 0.83 (95% CI-0.76 to 0.89), specificity at 0.84 (95% CI -0.74 to 0.91), and AUC/pAUC at 0.90/0.83. An fMRI/deep neural network (DNN) subgroup meta-analysis (five samples with 1,345 participants) showed the sensitivity at 0.69 (95% CI- 0.62 to 0.75), the specificity at 0.66 (95% CI -0.61 to 0.70), and AUC/pAUC at 0.71/0.67. CONCLUSIONS Machine learning algorithms that used structural MRI features in diagnosis of ASD were shown to have accuracy that is similar to currently used diagnostic tools.

Synthesis

2020 ◽  
pp. 421-428
Author(s):  
Lauren Brookman-Frazee ◽  
Amy Drahota ◽  
Colby Chlebowski ◽  
Yael Koenig ◽  
Katherine Nguyen Williams ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Autism Spectrum ◽  
Future Research ◽  
Research Directions ◽  
Course Assessment ◽  
Academic Partnerships ◽  
Assessment And Treatment ◽  
Important Field ◽  
Future Research Directions ◽  
Psychiatric Conditions

Recent research and clinical attention devoted to co-occurring psychiatric conditions within autism spectrum disorder (ASD) has led to significant advances in the understanding of and ability to assess and treat co-occurring problems effectively. This chapter summarizes those advances while also highlighting the substantial gaps that remain in the understanding of co-occurring problems in people with ASD. The chapter provides recommendations for future research directions in the areas of etiology, developmental course, assessment, and treatment. It also offers suggestions for improving the representativeness of research participants and strengthening community–academic partnerships in this important field of study.

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