将行为理论转化为技术干预：一个mHealth应用程序的案例研究，以增加物质使用相关数据的自我报告
Translating Behavioral Theory into Technological Interventions: Case Study of an mHealth App to Increase Self-reporting of Substance-Use Related Data
摘要：
移动健康（mHealth）应用程序是提供行为干预的强大媒介，系统评价表明，基于理论的干预更有效。然而，如何将理论概念准确地转化为技术干预措施的特征往往并不清楚。在心理学理论的抽象性和建立健康技术所需的具体设计之间存在着一条鸿沟。在本文中，我们使用SARA，我们开发的移动应用程序，以支持青少年和年轻人中的物质使用研究，作为将行为理论转化为移动健康干预设计的过程的案例研究。SARA旨在提高纵向流行病学研究中每日自我报告的依从性。为了实现这一目标，我们实施了一些结构从操作性条件反射理论。我们描述了我们的设计过程，并讨论了我们如何操作化的理论结构的设计约束，用户反馈，并从四个形成性研究的经验数据。
英文摘要：
Mobile health (mHealth) applications are a powerful medium for providing behavioral interventions, and systematic reviews suggest that theory-based interventions are more effective. However, how exactly theoretical concepts should be translated into features of technological interventions is often not clear. There is a gulf between the abstract nature of psychological theory and the concreteness of the designs needed to build health technologies. In this paper, we use SARA, a mobile app we developed to support substance-use research among adolescents and young adults, as a case study of a process of translating behavioral theory into mHealth intervention design. SARA was designed to increase adherence to daily self-report in longitudinal epidemiological studies. To achieve this goal, we implemented a number of constructs from the operant conditioning theory. We describe our design process and discuss how we operationalized theoretical constructs in the light of design constraints, user feedback, and empirical data from four formative studies.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
