公众对基于人工智能的心理健康评估工具的看法和接受程度

Alex Sandro Steven , Muhammad Amien Ibrahim , Renaldy Fredyan
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引用次数: 0

摘要

从 2024 年 5 月 10 日至 2024 年 5 月 13 日,在印度尼西亚各地对公众进行了为期 3 天的调查,其中包括 18 个问题。目的是了解公众对基于人工智能的心理健康评估工具的看法和接受程度。107名受访者中,61.7%为男性,38.3%为女性,88%的受访者年龄在18-29岁之间,最后学历约为高中和大学本科。用 1-5 分来表示,大多数人熟悉人工智能,但超过三分之二的人没有在心理健康领域使用过人工智能。他们不太相信人工智能的有效性(平均分:3.08),并怀疑人工智能能否与传统方法相媲美(平均分:2.88)。近 80% 的人认为人工智能有助于早期发现和干预;54.2% 的人认为目前的人工智能是可信的。对人工智能工具的舒适度适中(得分:3.12),但对人工智能与专业评估的信心不足(得分:2.78)。对人工智能工具的信任度预计将在 10 年内提高,近 80% 的人预计人工智能将得到广泛应用,舒适度也将提高(得分:3.64)。人工智能被认为有利于提高心理健康服务的使用率(得分:3.77)和改善服务不足人群的就医情况(70.1%)。对隐私和安全的关注度较高(72.9%)。总体而言,公众对基于人工智能的心理健康工具持积极态度,但仍然更喜欢人类专家。随着技术的进步,信任度有望提高。隐私问题需要解决,但总体而言,接受度较高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Public Perception and Acceptance of AI-based Mental Health Assessment Tools
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.
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