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人工智能驱动的资源路标对使用心理健康同伴支持应用程序的年轻人的可接受性。

The Acceptability of AI-Driven Resource Signposting to Young People Using a Mental Health Peer Support App.

作者信息

Cliffe Bethany, Biddle Lucy, Gore-Rodney Jessica, Linton Myles-Jay

机构信息

Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

The National Institute for Health Research Applied Research Collaboration West (NIHR ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.

出版信息

Digit Soc. 2025;4(2):45. doi: 10.1007/s44206-025-00202-w. Epub 2025 Jun 4.

Abstract

UNLABELLED

Incorporating artificial intelligence (AI) into mental health applications (apps) can help to personalise support, for example through signposting topic-specific resources based on content that app users interact with. However, there is limited research exploring the acceptability of AI within digital mental health for young people. The current study explored this in the context of an online peer support platform for young people. 12 young people were interviewed online using a think aloud approach; they were aged 16-23 (M 18.64, SD 2.23). Participants identified as White ( = 7), Chinese ( = 1), Mixed Race ( = 1), Indian ( = 1), Black African ( = 1) and Bangladeshi ( = 1). 10 participants identified as women, one as non-binary and one preferred not to say. Participants were users of Tellmi, a pre-moderated mental health peer support app aimed at young people. Participants were given a link to a prototype of the Tellmi app via their web browser in which it was shown how AI could generate suggestions of pre-defined resources based on the content of fictional posts. Users were encouraged to interact with it whilst thinking aloud. Three themes were developed using reflexive thematic analysis: (1) Fear of the unknown - getting to grips with artificial intelligence; (2) AI can help save time and effort by streamlining processes; and (3) The value of human connection, which included the sub-theme: AI isn't human and shouldn't pretend to be.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s44206-025-00202-w.

摘要

未标注

将人工智能(AI)融入心理健康应用程序(应用)有助于实现个性化支持,例如通过根据应用用户互动的内容提供特定主题资源的指引。然而,探索年轻人对数字心理健康领域中人工智能可接受性的研究有限。当前研究在一个面向年轻人的在线同伴支持平台背景下对此进行了探讨。12名年轻人通过出声思考法进行了在线访谈;他们的年龄在16至23岁之间(中位数18.64,标准差2.23)。参与者的种族包括白人(7人)、华裔(1人)、混血(1人)、印度裔(1人)、非洲黑人(1人)和孟加拉裔(1人)。10名参与者为女性,1人为非二元性别,1人不愿透露。参与者是Tellmi的用户,Tellmi是一款经过预先审核的面向年轻人的心理健康同伴支持应用。通过网络浏览器向参与者提供了Tellmi应用的原型链接,展示了人工智能如何根据虚构帖子的内容生成预定义资源的建议。鼓励用户在出声思考的同时与该原型进行互动。通过反思性主题分析得出了三个主题:(1)对未知的恐惧——了解人工智能;(2)人工智能可通过简化流程节省时间和精力;(3)人际联系的价值,其中包括子主题:人工智能不是人类,不应假装是人类。

补充信息

在线版本包含可在10.1007/s44206-025-00202-w获取的补充材料。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bdf/12137474/aabf67093f6b/44206_2025_202_Fig1_HTML.jpg

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