Improving Social Communication in Individuals With ASD Using AI
Using Artificial Intelligence (AI) to Improve Social Conversation in Autistic Adolescents and Adults
Stanford University
540 participants
Oct 15, 2023
INTERVENTIONAL
Conditions
Summary
The purpose of this study is to identify whether researched and commonly used face-to-face interventions can be effectively implemented through artificial intelligence (AI) using an application on the phone or computer. The investigators plan to recruit verbal individuals diagnosed with autism spectrum disorder who demonstrate challenges with socialization. Modules focusing on various difficulties experienced by autistic individuals will provide practice and feedback using voice recognition and feedback. If effective, this intervention can be scaled up to provide cost-effective accessible assistance to individuals, particularly those who do not have access to care or prefer to secure services in the comfort of their own homes.
Eligibility
Inclusion Criteria5
- Primary diagnosis of autism spectrum disorder (ASD)
- Age between 11 to 35
- Ability to engage in social conversation using full sentences for a 20 minute period
- Verbal communication difficulties in an individual targeted area (e.g., empathy) as measured on the conversation sample
- Participants with a co-occuring diagnosis of ADHD, depression, or social anxiety will not be excluded since these are very common in this population and are often related to or a bi-product of difficulties with social conversation.
Exclusion Criteria8
- Non-documented or self-diagnosis of ASD
- At or above 60% correct responding on targeted area of social conversation during conversation probe
- No access to phone or computer for intervention sessions
- Inability to carry on a conversation during the conversation probe
- Apparent intellectual impairment that interferes with the ability to carry on a conversation (e.g., responds only in single words or does not respond to conversation, lack of understanding of questions or content during conversation probe)
- Non English speaking
- Serious medical or psychiatric issues that may interfere with conversation or the ability to complete the program
- Lack of interest in participating.
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Interventions
The application if the modules will be delivered using software. These modules have been developed to provide feedback on specific areas following voice or text input (user preference will be recorded in case this effects the results). The investigators currently have developed AI modules for common social communication challenges exhibited by individuals with ASD. Examples include: Empathy (general and in the work setting), Asking Relevant Questions, Listen and Respond, Talking the right amount, giving the right amount of personal information, Tactful Responses, Giving compliments, and Staying on topic during Conversation. These are all areas that can be challenging for individuals diagnosed with autism spectrum disorder. AI modules consist of thousands of total training examples. Participants may access the modules on their phones or computers.
Locations(1)
View Full Details on ClinicalTrials.gov
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NCT05987774