Autism spectrum disorder
Conditions
Interventions
Before the start of the intervention, the evaluator will administer the Socio-Demographic Questionnaire and the clinical assessments according to the participant’s age and the severity of their health
45"
(one minute and forty-five seconds). The interval between rounds is flexible, depending on the participant’s comfort in starting the next round and/or game. Before beginning the activities on the firs
Sponsors
Carlos Bandeira de Mello Monteiro
Escola de Artes, Ciências e Humanidade da Universidade de São Paulo EACH/USP
Eligibility
Age
5 Years to No maximum
Inclusion criteria
Inclusion criteria: Children and neurodivergent adults with a prior diagnosis of at least one of the following conditions: Autism Spectrum Disorder; cerebral palsy; Down syndrome; intellectual developmental disorder; among others. Applicants of both sexes and without age restrictions; must have sufficient motor and cognitive skills to interact with virtual reality games; have stable medical conditions; and possess a level of verbal or non-verbal communication that allows for comprehension of the game's task
Exclusion criteria
Exclusion criteria: Participants unable to understand and execute the specific instructions and commands of the intervention; failure to adapt to the proposed intervention protocol; visual impairments; severe hearing impairments that prevent interaction with virtual reality games
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| To identify the movement patterns of neurodivergent individuals through the performance of tasks in a non-immersive virtual reality game | — |
Secondary
| Measure | Time frame |
|---|---|
| The study aims to analyze whether virtual reality tasks can generate relevant changes in indicators of physical exertion, such as heart rate, respiratory rate, and perceived exertion, as well as to evaluate the satisfaction and usability of the games among neurodivergent individuals. It also involves the development and adjustment of machine learning algorithms to classify movements based on recordings of these tasks | — |
Countries
Brazil
Contacts
Public ContactCarlos Monteiro
Escola de Artes, Ciências e Humanidade da Universidade de São Paulo EACH/USP
Outcome results
None listed