Improving Social Communication in Individuals With ASD Using AI
Part of paid clinical trials in Stanford, California.
- Sponsor
- Stanford University
- Study ID
- NCT05987774
- Status
- Recruiting
Conditions
Eligibility Criteria
- Sex
- ALL
- Age
- 11 Years - 35 Years
- Healthy Volunteers
- Not accepted
Interventions
- AI Modules for Improving Social Conversation — DEVICEThe 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.
Study Details
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.
Key Dates
- Start date
- Oct 15, 2023
- Status verified
- May 2024
- Primary completion
- Jun 30, 2027
- Completion
- Jun 30, 2050
Study Design
- Enrollment
- 540 participants (estimated)
- Allocation
- RANDOMIZED
- Intervention model
- PARALLEL
- Primary purpose
- TREATMENT
Arms
- Experimental: Intervention GroupThis group will receive the treatment (AI conversation modules) available through the application.
- No Intervention: Control GroupThis waitlist control group will not receive treatment until the experimental group completes their intervention.
Primary Outcome Measure
Social Conversation Sample [ Time Frame: Approximately 9 weeks per participant (4 weeks of intervention + pre and post measures + 1-month follow-up) ]
Central Contacts
- Lynn K Koegel, PhD8056899493
- Monica Lam, PhD6502240595
Locations (1)
| Facility | City | State | ZIP | Site coordinators |
|---|---|---|---|---|
| Stanford University School of Medicine | Stanford | California | 94305 | Lizzie Ponder, MA Lynn Koegel, PhD |
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