期刊文章%@ 1438-8871 %I JMIR出版物%V 19 %N卡塔尔世界杯8强波胆分析 11 %P自我引导的基于web的干预:A Scholten,Mark R %A Kelders,Saskia M %A Van Gemert-Pijnen,Julia EWC %+电子健康与福祉研究中心，特温特大学心理、健康与技术系，Drienerlolaan 5, Enschede, 7522 NB, Netherlands, 31 651409623，m.r.scholten@utwente.nl %K eHealth %K回顾%K嵌入式会话代理%K人机交互%K临床心理学%K健康行为%K网络干预%K坚持%K智能辅导系统%K ITS %D 2017 %7 16.11.2017 %9回顾%J J医学互联网Res %G英文%X背景:基于网络的心理健康干预已经从创新的原型演变为抑郁症和焦虑症等精神疾病的循证和临床应用解决方案。这些开放获取、自我引导的解决方案有望以合理的成本覆盖和治疗大量人口。然而，目前阻碍这些基于web的自我指导干预的有效性的一个相当大的因素是高水平的不遵守。人类护理人员的缺席显然对用户的依从性有负面影响。目前还不清楚，在何种程度上，人类的支持可以移交给干预技术，以减轻这种负面影响。目的:本文的第一个目标是探索文献中关于用户需要什么支持来保持积极性并参与需要重复使用的电子健康(eHealth)干预的已知信息。第二个目标是探索嵌入会话代理(ECAs)提供这种支持的当前潜力。方法:本研究回顾和解释了现有的文献(1)需要重复使用的电子卫生干预措施的支持和(2)通过范围审查的方式，eca的潜力。 The rationale for choosing a scoping review is that the subject is broad, diverse, and largely unexplored. Themes for (1) and (2) were proposed based on grounded theory and mapped on each other to find relationships. Results: The results of the first part of this study suggest the presence of user needs that largely remain implicit and unaddressed. These support needs can be categorized as task-related support and emotion-related support. The results of the second part of this study suggest that ECAs are capable of engaging and motivating users of information technology applications in the domains of learning and behavioral change. Longitudinal studies must be conducted to determine under what circumstances ECAs can create and maintain a productive user relationship. Mapping the user needs on the ECAs’ capabilities suggests that different kinds of ECAs may provide different solutions for improving the adherence levels. Conclusions: Autonomous ECAs that do not respond to a user’s expressed emotion in real time but take on empathic roles may be sufficient to motivate users to some extent. It is unclear whether those types of ECAs are competent enough and create sufficient believability among users to address the user’s deeper needs for support and empathy. Responsive ECAs may offer a better solution. However, at present, most of these ECAs have difficulties to assess a user’s emotional state in real time during an open dialogue. By conducting future research with relationship theory–based ECAs, the added value of ECAs toward user needs can be better understood. %M 29146567 %R 10.2196/jmir.7351 %U //www.mybigtv.com/2017/11/e383/ %U https://doi.org/10.2196/jmir.7351 %U http://www.ncbi.nlm.nih.gov/pubmed/29146567