AI in Mental Healthcare

Abstract

This study conducted a comprehensive investigation across Karnataka involving 575 college students to explore their perceptions and acceptance of artificial intelligence (AI) in mental healthcare. The research utilized a mixed-methods approach, incorporating the Technology Acceptance Model (TAM 2) to assess technology acceptance levels, the Cognitive and Sensory Innovativeness scale to measure innovative approaches in adopting AI technologies, an affective scale to evaluate emotional responses, and specific inquiries into participants' perceptions of AI. Stratified random sampling ensured representation across various colleges and demographics within Karnataka. Data analysis employed correlation and regression analyses in SPSS to examine relationships between variables, including technology acceptance, cognitive and sensory innovativeness, affective responses, and perceptions of AI's cultural impact in mental healthcare.

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