Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:2215-2221. doi: 10.1109/EMBC46164.2021.9630949.
In the course of the corona virus (COVID-19) pandemic, many digital solutions for mobile devices (e.g., apps) were presented in order to provide additional resources supporting the control of the pandemic. Contact tracing apps (i.e., identify persons who may have been in contact with a COVID-19 infected) constitute one of the most popular as well as promising solutions. However, as a prerequisite for an effective application, such apps highly depend on being used by large numbers of the population. Consequently, it is important that these apps offer a high usability for everyone. We therefore conducted an exploratory study to learn more about the usability of the German COVID-19 contact tracing app Corona-Warn-App (CWA). More specifically, N = 15 participants assessed the CWA, relying on a combined eye tracking and retrospective think aloud approach. The results indicate, on the one hand, that the CWA leaves a promising impression for pandemic control, as essential functions are easily recognized. However, on the other hand, issues were revealed (e.g., privacy policy) that could be addressed in future updates more properly.
在冠状病毒（COVID-19）大流行期间，为了提供额外的资源来支持疫情的控制，许多移动设备的数字解决方案（例如应用程序）被提出。接触者追踪应用程序（即识别可能与 COVID-19 感染者接触的人）是最受欢迎和最有前途的解决方案之一。然而，作为有效应用的前提条件，此类应用程序高度依赖于大量人群的使用。因此，这些应用程序对每个人都具有高度可用性非常重要。因此，我们进行了一项探索性研究，以了解更多关于德国 COVID-19 接触者追踪应用程序 Corona-Warn-App（CWA）的可用性。更具体地说，N=15 名参与者使用了结合眼动追踪和回顾性出声思维的方法来评估 CWA。结果表明，一方面，CWA 为大流行控制留下了一个有希望的印象，因为基本功能很容易识别。然而，另一方面，也揭示了一些问题（例如隐私政策），这些问题可以在未来的更新中更好地解决。
