Abstract：
BACKGROUND: Interactive conversational agents, also known as \"chatbots,\" are computer programs that use natural language processing to engage in conversations with humans to provide or collect information. Although the literature on the development and use of chatbots for health interventions is growing, important knowledge gaps remain, such as identifying design aspects relevant to health care and functions to offer transparency in decision-making automation.
OBJECTIVE: This paper presents the protocol for a scoping review that aims to identify and categorize the interactive conversational agents currently used in health care.
METHODS: A mixed methods systematic scoping review will be conducted according to the Arksey and O\'Malley framework and the guidance of Peters et al for systematic scoping reviews. A specific search strategy will be formulated for 5 of the most relevant databases to identify studies published in the last 20 years. Two reviewers will independently apply the inclusion criteria using the full texts and extract data. We will use structured narrative summaries of main themes to present a portrait of the current scope of available interactive conversational agents targeting health promotion, prevention, and care. We will also summarize the differences and similarities between these conversational agents.
RESULTS: The search strategy and screening steps were completed in March 2022. Data extraction and analysis started in May 2022, and the results are expected to be published in October 2022.
CONCLUSIONS: This fundamental knowledge will be useful for the development of interactive conversational agents adapted to specific groups in vulnerable situations in health care and community settings.
UNASSIGNED: DERR1-10.2196/40265.
OBJECTIVE: This paper presents the protocol for a scoping review that aims to identify and categorize the interactive conversational agents currently used in health care.
METHODS: A mixed methods systematic scoping review will be conducted according to the Arksey and O\'Malley framework and the guidance of Peters et al for systematic scoping reviews. A specific search strategy will be formulated for 5 of the most relevant databases to identify studies published in the last 20 years. Two reviewers will independently apply the inclusion criteria using the full texts and extract data. We will use structured narrative summaries of main themes to present a portrait of the current scope of available interactive conversational agents targeting health promotion, prevention, and care. We will also summarize the differences and similarities between these conversational agents.
RESULTS: The search strategy and screening steps were completed in March 2022. Data extraction and analysis started in May 2022, and the results are expected to be published in October 2022.
CONCLUSIONS: This fundamental knowledge will be useful for the development of interactive conversational agents adapted to specific groups in vulnerable situations in health care and community settings.
UNASSIGNED: DERR1-10.2196/40265.
摘要：
背景：交互式会话代理，也被称为“聊天机器人”，“是使用自然语言处理与人类进行对话以提供或收集信息的计算机程序。尽管关于开发和使用聊天机器人进行健康干预的文献正在增长，重要的知识差距仍然存在，例如确定与医疗保健和功能相关的设计方面，以提供决策自动化的透明度。
目的：本文提出了范围审查的方案，旨在识别和分类目前在医疗保健中使用的交互式会话代理。
方法：将根据Arksey和O\'Malley框架以及Peters等人对系统范围审查的指导进行混合方法系统范围审查。将为5个最相关的数据库制定具体的搜索策略，以确定过去20年发表的研究。两名评审员将使用全文独立应用纳入标准并提取数据。Wewillusestructurednarrativesummaryofmainthemestopresenta画像ofthecurrentscopeofavailableinteractiveconversationalagenttargetedhealthpromotion,预防,和关心。我们还将总结这些对话代理之间的异同。
结果：搜索策略和筛选步骤于2022年3月完成。数据提取和分析于2022年5月开始，预计结果将于2022年10月公布。
结论：这一基本知识将有助于开发适合卫生保健和社区环境中处于脆弱状况的特定群体的交互式对话代理。
未经批准：DERR1-10.2196/40265。
目的：本文提出了范围审查的方案，旨在识别和分类目前在医疗保健中使用的交互式会话代理。
方法：将根据Arksey和O\'Malley框架以及Peters等人对系统范围审查的指导进行混合方法系统范围审查。将为5个最相关的数据库制定具体的搜索策略，以确定过去20年发表的研究。两名评审员将使用全文独立应用纳入标准并提取数据。Wewillusestructurednarrativesummaryofmainthemestopresenta画像ofthecurrentscopeofavailableinteractiveconversationalagenttargetedhealthpromotion,预防,和关心。我们还将总结这些对话代理之间的异同。
结果：搜索策略和筛选步骤于2022年3月完成。数据提取和分析于2022年5月开始，预计结果将于2022年10月公布。
结论：这一基本知识将有助于开发适合卫生保健和社区环境中处于脆弱状况的特定群体的交互式对话代理。
未经批准：DERR1-10.2196/40265。
