Public Perception and Acceptance of AI-based Mental Health Assessment Tools

Abstract

A survey consisting of 18 questions that lasted for 3 days from 10th May 2024 to 13th May 2024 was conducted to the public across Indonesian. In order to find out about public perception and acceptance of AI-based mental health assessment tools. One hundred and thirty participants responded to the survey, however only 107 of them passed the data quality check. from the 107 respondents, 61.7 % of them are males, and 38.3% of them are females, and 88% of the respondents are in the age range of 18-29 with the last level of education around high school and undergraduate. Using the score of 1-5, Most were familiar with AI, but over two-thirds hadn't used AI in mental health. They weakly believed in AI effectiveness (mean score: 3.08) and doubted it could match traditional methods (mean score: 2.88). Nearly 80% saw AI as helpful for early detection and intervention; 54.2% found current AI credible. Comfort with AI tools was moderate (score: 3.12), but confidence in AI vs. professional assessments was low (score: 2.78). Trust in AI tools is expected to grow in 10 years, with nearly 80% expecting widespread use and higher comfort (score: 3.64). AI is seen as beneficial for increasing mental health service use (score: 3.77) and improving access for underserved populations (70.1%). Privacy and security concerns were high (72.9%). Overall, the public sees AI-based mental health tools positively but still prefers human experts. The level of trust is expected to grow as technology progresses. Privacy concerns need addressing, but overall, acceptance is high.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 3 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.