Suppr超能文献

开发用于 HIV 研究的聊天机器人的必要对话:研究人员、社区咨询委员会成员和研究参与者的定性研究结果。

A necessary conversation to develop chatbots for HIV studies: qualitative findings from research staff, community advisory board members, and study participants.

机构信息

Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.

Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles, CA, USA.

出版信息

AIDS Care. 2024 Apr;36(4):463-471. doi: 10.1080/09540121.2023.2216926. Epub 2023 May 30.

Abstract

Chatbots increase business productivity by handling customer conversations instead of human agents. Similar rationale applies to use chatbots in the healthcare sector, especially for health coaches who converse with clients. Chatbots are nascent in healthcare. Study findings have been mixed in terms of engagement and their impact on outcomes. Questions remain as to chatbot acceptability with coaches and other providers; studies have focused on clients.To clarify perceived benefits of chatbots in HIV interventions we conducted virtual focus groups with 13 research staff, eight community advisory board members, and seven young adults who were HIV intervention trial participants (clients). Our HIV healthcare context is important. Clients represent a promising age demographic for chatbot uptake. They are a marginalized population warranting consideration to avoid technology that limits healthcare access.Focus group participants expressed the value of chatbots for HIV research staff and clients. Staff discussed how chatbot functions, such as automated appointment scheduling and service referrals, could reduce workloads while clients discussed the after-hours convenience of these functions. Participants also emphasized that chatbots should provide relatable conversation, reliable functionality, and would not be appropriate for all clients. Our findings underscore the need to further examine appropriate chatbot functionality in HIV interventions.

摘要

聊天机器人通过处理客户对话来提高业务效率,而不是由人工代理处理。同样的原理也适用于在医疗保健领域使用聊天机器人,特别是对于与客户交谈的健康教练。聊天机器人在医疗保健领域还处于起步阶段。就参与度及其对结果的影响而言,研究结果存在差异。关于教练和其他提供者对聊天机器人的接受程度,仍存在疑问;研究主要集中在客户上。为了澄清在 HIV 干预措施中使用聊天机器人的好处,我们与 13 名研究人员、8 名社区咨询委员会成员和 7 名年轻的 HIV 干预试验参与者(客户)进行了虚拟焦点小组讨论。我们的 HIV 医疗保健背景很重要。客户是接受聊天机器人的有前途的年龄群体。他们是一个需要考虑的边缘化群体,以避免使用限制医疗保健获取的技术。焦点小组参与者表达了聊天机器人对 HIV 研究人员和客户的价值。工作人员讨论了聊天机器人的功能,如自动预约和服务转介,如何减轻工作人员的工作量,而客户则讨论了这些功能的下班后便利性。参与者还强调,聊天机器人应该提供相关的对话、可靠的功能,并且不适合所有客户。我们的研究结果强调了需要进一步研究 HIV 干预措施中适当的聊天机器人功能。

相似文献

本文引用的文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验