Substance use

Related papers: 2

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Substance use, in the context of AI and robotics research, refers to the study and mitigation of harmful drug and alcohol consumption behaviors, with technology serving as a scalable intervention tool. AI-driven systems, particularly conversational agents and digital therapeutics, are developed to deliver evidence-based treatments such as motivational interviewing and cognitive behavioral therapy to individuals with substance use disorders (SUDs). These systems leverage natural language processing and relational agent frameworks to simulate empathetic, therapeutic interactions that can reach populations who may lack access to traditional clinical care. In robotics, social robots have been explored as companions or coaches to support recovery and adherence to treatment programs. The significance of this work lies in its potential to dramatically expand the reach of mental health and addiction services, reducing barriers like cost, stigma, and provider availability. By automating and personalizing therapeutic delivery, AI and robotic systems offer a promising complement to conventional substance use treatment approaches.

Top Cited Papers

A relational agent for treating substance use in adults: Protocol for a randomized controlled trial with a psychoeducational comparator

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Citations: 6 • 2023

Proceedings of the 8th annual British robot association conference

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