Can Your Phone Be Your Therapist? Young People's Ethical Perspectives on the Use of Fully Automated Conversational Agents (Chatbots) in Mental Health Support.

Biomedical informatics insights Pub Date : 2019-03-05 eCollection Date: 2019-01-01 DOI:10.1177/1178222619829083
Kira Kretzschmar, Holly Tyroll, Gabriela Pavarini, Arianna Manzini, Ilina Singh
{"title":"Can Your Phone Be Your Therapist? Young People's Ethical Perspectives on the Use of Fully Automated Conversational Agents (Chatbots) in Mental Health Support.","authors":"Kira Kretzschmar,&nbsp;Holly Tyroll,&nbsp;Gabriela Pavarini,&nbsp;Arianna Manzini,&nbsp;Ilina Singh","doi":"10.1177/1178222619829083","DOIUrl":null,"url":null,"abstract":"<p><p>Over the last decade, there has been an explosion of digital interventions that aim to either supplement or replace face-to-face mental health services. More recently, a number of automated conversational agents have also been made available, which respond to users in ways that mirror a real-life interaction. What are the social and ethical concerns that arise from these advances? In this article, we discuss, from a young person's perspective, the strengths and limitations of using chatbots in mental health support. We also outline what we consider to be minimum ethical standards for these platforms, including issues surrounding privacy and confidentiality, efficacy, and safety, and review three existing platforms (Woebot, Joy, and Wysa) according to our proposed framework. It is our hope that this article will stimulate ethical debate among app developers, practitioners, young people, and other stakeholders, and inspire ethically responsible practice in digital mental health.</p>","PeriodicalId":88397,"journal":{"name":"Biomedical informatics insights","volume":"11 ","pages":"1178222619829083"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1178222619829083","citationCount":"141","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical informatics insights","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/1178222619829083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2019/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 141

Abstract

Over the last decade, there has been an explosion of digital interventions that aim to either supplement or replace face-to-face mental health services. More recently, a number of automated conversational agents have also been made available, which respond to users in ways that mirror a real-life interaction. What are the social and ethical concerns that arise from these advances? In this article, we discuss, from a young person's perspective, the strengths and limitations of using chatbots in mental health support. We also outline what we consider to be minimum ethical standards for these platforms, including issues surrounding privacy and confidentiality, efficacy, and safety, and review three existing platforms (Woebot, Joy, and Wysa) according to our proposed framework. It is our hope that this article will stimulate ethical debate among app developers, practitioners, young people, and other stakeholders, and inspire ethically responsible practice in digital mental health.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
你的手机能成为你的治疗师吗?年轻人对在心理健康支持中使用全自动会话代理(聊天机器人)的伦理观点。
在过去十年中,旨在补充或取代面对面心理健康服务的数字干预措施出现了爆炸式增长。最近,许多自动对话代理也可用,它们以反映现实生活交互的方式响应用户。这些进步带来了哪些社会和伦理问题?在这篇文章中,我们从年轻人的角度讨论了在心理健康支持中使用聊天机器人的优势和局限性。我们还概述了我们认为这些平台的最低道德标准,包括围绕隐私和机密性,功效和安全性的问题,并根据我们提出的框架审查了三个现有平台(Woebot, Joy和Wysa)。我们希望这篇文章能够激发应用开发者、从业者、年轻人和其他利益相关者之间的道德辩论,并激发数字心理健康领域的道德责任实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Data-Driven Approach to Predicting Septic Shock in the Intensive Care Unit A Genome Model to Explain Major Features of Neurodevelopmental Disorders in Newborns. Mathematical Model for Computer-Assisted Modification of Medication Dosing Rules. Applying Supervised Machine Learning to Identify Which Patient Characteristics Identify the Highest Rates of Mortality Post-Interhospital Transfer. Coalitional Game Theory Facilitates Identification of Non-Coding Variants Associated With Autism.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1