Alex Sandro Steven , Muhammad Amien Ibrahim , Renaldy Fredyan
{"title":"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","authors":"Alex Sandro Steven , Muhammad Amien Ibrahim , Renaldy Fredyan","doi":"10.1016/j.procs.2024.10.311","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"245 ","pages":"Pages 844-852"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Public Perception and Acceptance of AI-based Mental Health Assessment Tools\",\"authors\":\"Alex Sandro Steven , Muhammad Amien Ibrahim , Renaldy Fredyan\",\"doi\":\"10.1016/j.procs.2024.10.311\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":20465,\"journal\":{\"name\":\"Procedia Computer Science\",\"volume\":\"245 \",\"pages\":\"Pages 844-852\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Procedia Computer Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1877050924031193\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Procedia Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1877050924031193","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.