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迈向数字干预参与科学

Towards the Science of Engagement with Digital Interventions.

作者信息

Nahum-Shani Inbal, Yoon Carolyn

机构信息

Institute for Social Research, University of Michigan.

Ross School of Business, University of Michigan.

出版信息

Curr Dir Psychol Sci. 2024 Aug;33(4):239-246. doi: 10.1177/09637214241254328. Epub 2024 Jun 3.

Abstract

Digital technologies, such as mobile devices and wearable sensors, are ingrained in daily life, making them a promising vehicle for delivering health behavior interventions. However, a critical challenge that undermines the utility of digital interventions is the suboptimal engagement of participants, where participant engagement is defined as the investment of physical, cognitive, and affective energies in a focal stimulus or task. Recent years have seen substantial growth in research aiming to understand how to increase engagement with digital interventions. This paper highlights several limitations of the existing evidence that restrict its scientific and practical utility and discusses opportunities for advancing the science of engagement with digital interventions. Synthesizing the current body of evidence, we call for conceptualizing digital interventions as a collection of stimuli (e.g., notifications, reminders) and tasks (e.g., open the mobile app, practice a relaxation technique) and considering engagement with digital interventions as a process rather than a state (i.e., momentary conditions/experiences) or trait (i.e., a relatively stable disposition). This approach has the potential to enhance scientific rigor and transparency in measuring, reporting, and interpreting engagement with digital interventions that would ultimately serve to bolster progress towards developing strategies for optimizing engagement.

摘要

数字技术,如移动设备和可穿戴传感器,已深深融入日常生活,使其成为实施健康行为干预的理想载体。然而,影响数字干预效用的一个关键挑战是参与者的参与度欠佳,其中参与者参与度被定义为在焦点刺激或任务中投入身体、认知和情感能量。近年来,旨在了解如何提高对数字干预参与度的研究大幅增加。本文强调了现有证据的几个局限性,这些局限性限制了其科学和实际效用,并讨论了推进数字干预参与度科学研究的机会。综合当前的证据,我们呼吁将数字干预概念化为一系列刺激(如通知、提醒)和任务(如打开移动应用程序、练习放松技巧),并将对数字干预的参与视为一个过程,而非一种状态(即瞬间状况/体验)或特质(即相对稳定的倾向)。这种方法有可能提高在测量、报告和解释对数字干预的参与度方面的科学严谨性和透明度,最终有助于推动制定优化参与度策略的进展。

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