亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Attitudes Toward the Use of Artificial Intelligence Chatbots for Mental Health Support: Artificial Intelligence in Mental Health Scale

心理学 心理健康 验证性因素分析 比例(比率) 组内相关 应用心理学 临床心理学 结构效度 同时有效性 心理测量学 苦恼 探索性因素分析 可靠性(半导体) 人工智能 表面有效性 多学科方法 判别效度 测量不变性 公制(单位) 聊天机器人 发展心理学 有效性 社会心理学 认知 测试有效性 预测效度 内容有效性 收敛有效性 构造(python库) 探索性研究 联想(心理学) 考试(生物学)
作者
Aglaia Katsiroumpa,Olympia Konstantakopoulou,Ioannis Moisoglou,Parisis Gallos,Olga Galani,Paschalina Lialiou,Maria Tsiachri,Petros Galanis
出处
期刊:
标识
DOI:10.20944/preprints202511.1189.v1
摘要

Background/Objectives: Measuring attitudes toward the use of Artificial Intelligence (AI)-based chatbots for mental health support is highly important, especially as these technologies become more integrated into clinical and therapeutic settings. The aim of our study was to develop and validate a scale to measure attitudes toward the use of AI-based chatbots for mental health support, i.e., the Artificial Intelligence in Mental Health Scale (AIMHS). Methods: A multidisciplinary panel of experts assessed the content validity of items that were developed after an extensive literature review. To confirm face validity, we carried out cognitive interviews and calculated the item-level face validity index. Furthermore, we applied both exploratory and confirmatory factor analyses to verify the construct structure of the AIMHS. Moreover, we assessed measurement invariance across demographic subgroups, specifically examining differences by gender, age, and daily use of AI chatbots, social media platforms, and websites. Concurrent validity was evaluated using three instruments: the Artificial Intelligence Attitude Scale (AIAS-4), the Attitudes Towards Artificial Intelligence Scale (ATAI), and the Short Trust in Automation Scale (S-TIAS). Finally, reliability was tested through Cronbach’s alpha, Cohen’s kappa, and the intraclass correlation coefficient. Results: Exploratory and confirmatory factor analyses supported a two-factor model -technical personal advantages- that explained 81.28% of the variance. Moreover, the AIMHS demonstrated strong concurrent validity, evidenced by statistically significant correlations with AIAS-4, ATAI, and S-TIAS. Configural measurement invariance and metric invariance were supported by our findings. Cronbach’s alpha for the AIMHS was 0.798, and intraclass correlation coefficient was 0.938. Cohen’s kappa for the five items ranged from 0.760 to 0.848. Conclusions: The AIMHS is a psychometrically sound and user-friendly instrument for assessing attitudes toward the utilization of AI-based chatbots in mental health support.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Ankle完成签到 ,获得积分10
1秒前
3秒前
风趣的飞阳完成签到,获得积分10
4秒前
梁益诚完成签到,获得积分10
6秒前
虚心海燕完成签到,获得积分10
6秒前
NexusExplorer应助敬业乐群采纳,获得10
7秒前
8秒前
张强完成签到,获得积分10
9秒前
清新的向松完成签到,获得积分10
10秒前
呼延水云发布了新的文献求助10
11秒前
Owen应助钱春霞采纳,获得10
13秒前
14秒前
Owen应助自觉的觅山采纳,获得10
17秒前
17秒前
Anhna完成签到,获得积分10
20秒前
木十四完成签到 ,获得积分10
21秒前
薄荷水完成签到,获得积分10
21秒前
浩浩完成签到 ,获得积分0
27秒前
斯文败类应助南弭采纳,获得10
27秒前
星辰大海应助南弭采纳,获得10
27秒前
28秒前
一杯茶具完成签到 ,获得积分10
29秒前
1069707082发布了新的文献求助10
32秒前
34秒前
lucky完成签到 ,获得积分10
35秒前
失眠思雁发布了新的文献求助10
36秒前
钱春霞发布了新的文献求助10
38秒前
40秒前
香蕉觅云应助1069707082采纳,获得20
41秒前
Rare发布了新的文献求助10
43秒前
Qiqi完成签到 ,获得积分10
47秒前
zcx完成签到,获得积分20
48秒前
三火完成签到,获得积分10
48秒前
50秒前
万能图书馆应助失眠思雁采纳,获得10
51秒前
CynthiaLi完成签到,获得积分10
52秒前
单纯寄云完成签到,获得积分10
52秒前
三火发布了新的文献求助10
54秒前
我真的服了完成签到 ,获得积分10
54秒前
Zen完成签到 ,获得积分10
56秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7765540
求助须知:如何正确求助?哪些是违规求助? 9309832
关于积分的说明 20312512
捐赠科研通 7350348
什么是DOI,文献DOI怎么找? 3314890
关于科研通互助平台的介绍 2464281
邀请新用户注册赠送积分活动 2329366