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用户对健康聊天机器人的体验。

User Experiences of Well-Being Chatbots.

机构信息

Department of Psychology, George Mason University, Fairfax, VA, USA.

出版信息

Hum Factors. 2024 Jun;66(6):1703-1723. doi: 10.1177/00187208231162453. Epub 2023 Mar 14.

Abstract

OBJECTIVE

The current paper conducted two parallel studies to explore user experiences of well-being conversational agents (CAs) and identify important features for engagement.

BACKGROUND

Students transitioning into university life take on greater responsibility, yet tend to sacrifice healthy behaviors to strive for academic and financial gain. Additionally, students faced an unprecedented pandemic, leading to remote courses and reduced access to healthcare services. One tool designed to improve healthcare accessibility is well-being CAs. CAs have addressed mental health support in the general population but have yet to address physical well-being support and accessibility to those in disadvantaged socio-economic backgrounds where healthcare access is further limited.

METHOD

Study One comprised a thematic analysis of mental health applications featuring CAs from the public forum, Reddit. Study Two explored emerging usability themes of an SMS-based CA designed to improve accessibility to well-being services alongside a commercially available CA, Woebot.

RESULTS

Study One identified several themes, including accessibility and availability, communication style, and anthropomorphism as important features. Study Two identified themes such as user response modality, perceived CA role, question specificity, and conversation flow control as critical for user engagement.

CONCLUSION

Various themes emerged from individuals' experiences regarding CA features, functionality, and responses. The mixed experiences relevant to the communication and conversational styles between the CA and the user suggest varied motivations for using CAs for mental and physical well-being.

APPLICATION

Practical recommendations to encourage continued use include providing dynamic response modalities, anthropomorphizing the chatbot, and calibrating expectations early.

摘要

目的

本研究开展了两项平行研究,旨在探索用户对健康聊天机器人(CA)的体验,并确定促进参与的重要特征。

背景

学生在过渡到大学生活时承担了更大的责任,但往往为了追求学业和经济利益而牺牲健康行为。此外,学生面临着前所未有的大流行病,导致远程课程和减少了获得医疗保健服务的机会。一种旨在提高医疗保健可及性的工具是健康 CA。CA 已经在普通人群中解决了心理健康支持问题,但尚未解决身体福祉支持以及为那些处于社会经济背景不利地位的人提供支持,这些人获得医疗保健的机会进一步受到限制。

方法

研究一包括对公共论坛 Reddit 上的 CA 功能的心理健康应用程序进行主题分析。研究二探索了一种基于 SMS 的 CA 的新兴可用性主题,该 CA 旨在与 Woebot 等商业化 CA 一起提高福祉服务的可及性。

结果

研究一确定了几个主题,包括可及性和可用性、沟通风格和拟人化,这些都是重要的特征。研究二确定了一些主题,如用户响应模式、感知 CA 角色、问题特异性和对话流程控制,这些对于用户参与至关重要。

结论

个人对 CA 功能、功能和响应的体验出现了各种主题。CA 与用户之间的沟通和对话风格的混合体验表明,使用 CA 来促进心理健康和身体健康的动机各不相同。

应用

鼓励继续使用的实用建议包括提供动态响应模式、使聊天机器人拟人化以及尽早校准期望。

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