Weizenbaum Institute for the Networked Society, Berlin, Germany.
University of Potsdam, Potsdam, Germany.
J Med Internet Res. 2021 Aug 10;23(8):e29268. doi: 10.2196/29268.
Corona contact tracing apps are a novel and promising measure to reduce the spread of COVID-19. They can help to balance the need to maintain normal life and economic activities as much as possible while still avoiding exponentially growing case numbers. However, a majority of citizens need to be willing to install such an app for it to be effective. Hence, knowledge about drivers for app uptake is crucial.
This study aimed to add to our understanding of underlying psychological factors motivating app uptake. More specifically, we investigated the role of concern for one's own health and concern to unknowingly infect others.
A two-wave survey with 346 German-speaking participants from Switzerland and Germany was conducted. We measured the uptake of two decentralized contact tracing apps officially launched by governments (Corona-Warn-App, Germany; SwissCovid, Switzerland), as well as concerns regarding COVID-19 and control variables.
Controlling for demographic variables and general attitudes toward the government and the pandemic, logistic regression analysis showed a significant effect of self-focused concerns (odds ratio [OR] 1.64, P=.002). Meanwhile, concern of unknowingly infecting others did not contribute significantly to the prediction of app uptake over and above concern for one's own health (OR 1.01, P=.92). Longitudinal analyses replicated this pattern and showed no support for the possibility that app uptake provokes changes in levels of concern. Testing for a curvilinear relationship, there was no evidence that "too much" concern leads to defensive reactions and reduces app uptake.
As one of the first studies to assess the installation of already launched corona tracing apps, this study extends our knowledge of the motivational landscape of app uptake. Based on this, practical implications for communication strategies and app design are discussed.
新冠接触追踪应用程序是减少 COVID-19 传播的一种新颖且有前景的措施。它们有助于在尽可能维持正常生活和经济活动的同时,避免病例数量呈指数级增长。然而,大多数公民需要愿意安装这样的应用程序,它才会有效。因此,了解应用程序采用的驱动因素至关重要。
本研究旨在深入了解促使应用程序采用的潜在心理因素。更具体地说,我们调查了对自身健康的关注和担心无意中感染他人的作用。
我们对来自瑞士和德国的 346 名讲德语的参与者进行了两波调查。我们测量了两种由政府正式推出的去中心化接触追踪应用程序(德国的“Corona-Warn-App”,瑞士的“SwissCovid”)的采用情况,以及对 COVID-19 的关注和控制变量。
在控制人口统计学变量和对政府及大流行的总体态度后,逻辑回归分析显示,自我关注的担忧具有显著影响(优势比 [OR] 1.64,P=.002)。与此同时,担心无意中感染他人并不能显著增加对自身健康担忧的预测力(OR 1.01,P=.92)。纵向分析复制了这一模式,并且没有证据表明应用程序的采用会引起关注水平的变化。对曲线关系进行测试,没有证据表明“过度”关注会导致防御反应并降低应用程序的采用率。
作为评估已推出的新冠追踪应用程序安装情况的首批研究之一,本研究扩展了我们对应用程序采用动机的认识。在此基础上,讨论了针对沟通策略和应用程序设计的实际意义。