Public Perception on Artificial Intelligence-Driven Mental Health Interventions: Survey Research

Area of Science:

• Mental Health Technology
• Artificial Intelligence in Healthcare
• Public Health

Background:

• Artificial intelligence (AI) is increasingly vital in healthcare, offering solutions to challenges like India's doctor-patient ratio.
• Public perception significantly influences the adoption of new technologies, including AI-driven mental health interventions.
• Understanding user experiences and opinions is crucial for the effective implementation of AI in mental health.

Purpose of the Study:

• To explore the current use, perception, and acceptance of AI-driven mental health interventions.
• To compare AI-based interventions with traditional, human-based mental health services.
• To identify factors influencing the adoption and effectiveness of AI in mental healthcare.

Main Methods:

• A web-based survey was administered to 466 adult participants in India.
• Data was collected between November and December 2023.
• The survey included 30 items assessing the use and perception of AI-based mental health interventions.

Main Results:

• A majority (65.5%) reported very low knowledge of AI interventions, with only 5.2% expressing high trust in them.
• Trust in human-based interventions was higher (24.5% high trust), though associated with significant stigma (51.9%).
• AI was positively perceived for accessibility, cost-effectiveness, 24/7 availability, and reduced stigma, but concerns included privacy and lack of human touch.

Conclusions:

• There is a significant lack of awareness regarding AI-driven mental health interventions.
• AI demonstrates potential for mental health prevention, assessment, and maintenance, particularly due to accessibility and reduced stigma.
• While AI cannot replace the human touch, its integration with human professionals presents a promising model for future mental healthcare.