AI technology to support adaptive functioning in neurodevelopmental conditions in everyday environments: a systematic...

Area of Science:

• Neuroscience
• Computer Science
• Rehabilitation Technology

Background:

• Adaptive functioning is crucial for long-term outcomes in individuals with neurodevelopmental conditions (NDCs).
• Artificial intelligence (AI) presents opportunities for personalized, cost-effective assistive technologies in daily environments.
• Existing research on AI for NDCs primarily focuses on specific conditions and skills.

Purpose of the Study:

• To systematically review the evidence for AI-assistive technologies supporting adaptive functioning in people with NDCs in everyday settings.
• To identify current trends, populations, and targeted skills in AI research for NDCs.
• To highlight gaps and future directions for AI applications in supporting NDCs.

Main Methods:

• Systematic literature search across six databases.
• Inclusion criteria focused on AI-assistive technologies for adaptive functioning in NDCs.
• Analysis of 15 included studies, categorizing by technology type, population, and targeted skills.

Main Results:

• The review identified 15 studies utilizing robotics, phones/computers, and virtual reality.
• Autism spectrum disorder was the most frequently studied NDC, with a focus on social, daily living, and communication skills.
• Promising results were observed, but broader transdiagnostic applications and improved research quality are needed.

Conclusions:

• AI holds significant potential to enhance adaptive functioning and personalized support for individuals with NDCs.
• There is a critical need for research addressing diverse NDC populations and advancing evidence-based practices.
• Further research is essential to fully realize the benefits of AI technologies in supporting NDCs.