用于高血压自我管理支持的聊天机器人:以用户为中心的设计、开发和可用性测试。

IF 2.5 Q2 HEALTH CARE SCIENCES & SERVICES JAMIA Open Pub Date : 2023-09-08 eCollection Date: 2023-10-01 DOI:10.1093/jamiaopen/ooad073
Ashley C Griffin, Saif Khairat, Stacy C Bailey, Arlene E Chung
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引用次数: 0

摘要

目的:与健康相关的聊天机器人已经证明了改善自我管理行为的早期前景,但很少用于高血压。这项研究的重点是用于高血压自我管理的聊天机器人“Medicagent”的设计、开发和可用性评估。材料和方法:使用谷歌云的Dialogflow自然语言理解平台,使用以用户为中心的设计过程迭代设计和开发基于文本的聊天机器人。然后,在高血压患者中进行可用性测试。每个环节包括:(1)背景问卷,(2)Medicagent内的10项代表性任务,(3)系统可用性量表(SUS)问卷,以及(4)简短的半结构化访谈。会话是使用Zoom录制的视频和音频。定性和定量分析用于评估聊天机器人的有效性、效率和满意度。结果:参与者(n = 10) 完成了几乎所有的任务(98%,98/100),平均花费了18分钟(SD = 10 min)与Medicagent交互。只有11个(8.6%)话语没有成功地映射到意图。Medicagent的平均SUS得分为78.8/100,这表明其可用性是可以接受的。一些参与者在没有菜单和后退按钮的情况下很难导航对话界面,他们认为当话语无法识别时,额外的信息将有助于重定向,并希望在聊天机器人中有一个健康专业人士的角色。讨论:基于文本的聊天机器人在协助血压和药物相关任务方面受到好评,并且具有良好的可用性。结论:互动风格的灵活性、优雅地处理未被识别的话语以及拥有可信的个性被强调为设计组件,这些组件可能会进一步丰富聊天机器人的高血压自我管理用户体验。
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A chatbot for hypertension self-management support: user-centered design, development, and usability testing.

Objectives: Health-related chatbots have demonstrated early promise for improving self-management behaviors but have seldomly been utilized for hypertension. This research focused on the design, development, and usability evaluation of a chatbot for hypertension self-management, called "Medicagent."

Materials and methods: A user-centered design process was used to iteratively design and develop a text-based chatbot using Google Cloud's Dialogflow natural language understanding platform. Then, usability testing sessions were conducted among patients with hypertension. Each session was comprised of: (1) background questionnaires, (2) 10 representative tasks within Medicagent, (3) System Usability Scale (SUS) questionnaire, and (4) a brief semi-structured interview. Sessions were video and audio recorded using Zoom. Qualitative and quantitative analyses were used to assess effectiveness, efficiency, and satisfaction of the chatbot.

Results: Participants (n = 10) completed nearly all tasks (98%, 98/100) and spent an average of 18 min (SD = 10 min) interacting with Medicagent. Only 11 (8.6%) utterances were not successfully mapped to an intent. Medicagent achieved a mean SUS score of 78.8/100, which demonstrated acceptable usability. Several participants had difficulties navigating the conversational interface without menu and back buttons, felt additional information would be useful for redirection when utterances were not recognized, and desired a health professional persona within the chatbot.

Discussion: The text-based chatbot was viewed favorably for assisting with blood pressure and medication-related tasks and had good usability.

Conclusion: Flexibility of interaction styles, handling unrecognized utterances gracefully, and having a credible persona were highlighted as design components that may further enrich the user experience of chatbots for hypertension self-management.

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来源期刊
JAMIA Open
JAMIA Open Medicine-Health Informatics
CiteScore
4.10
自引率
4.80%
发文量
102
审稿时长
16 weeks
期刊最新文献
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