Faculty of Social Sciences, Georg-August-University Göttingen, Göttingen, Germany.
Faculty of Medicine, Ruhr-University Bochum, Bochum, Germany.
J Med Internet Res. 2023 Oct 20;25:e45549. doi: 10.2196/45549.
Smartphone apps, including those for digital contact tracing (DCT), played a crucial role in containing infections during the COVID-19 pandemic. Their primary function is to generate and disseminate information to disrupt transmissions based on various events, such as encounters, vaccinations, locations, or infections. Although the functionality of these apps has been extensively studied, there is still a lack of qualitative research addressing critical issues.
We will demonstrate that the use of DCT presents a challenge due to the tension between continuous health monitoring and uncertainties related to transparency and user sovereignty. On one hand, DCT enables the monitoring of various risk factors, including data-based calculations of infection probabilities. On the other hand, continuous risk management is intertwined with several uncertainties, including the unclear storage of personal data, who has access to it, and how it will be used in the future.
We focus on the German "Corona-Warn-App" and support our argument with empirical data from 19 expert interviews conducted between 2020 and 2021. The interviews were conducted using a semistructured questionnaire and analyzed according to the principles of grounded theory.
Our data underscores 3 dimensions: transparency, data sovereignty, and the east-west divide. While transparency is considered an essential foundation for establishing trust in the use of DCT by providing a sense of security, data sovereignty is seen as a high value during the pandemic, protecting users from an undesired loss of control. The aspect of the east-west divide highlights the idea of incorporating sociocultural values and standards into technology, emphasizing that algorithms and data-driven elements, such as distance indicators, encounters, and isolations, are also influenced by sociocultural factors.
The effective use of DCT for pandemic containment relies on achieving a balance between individual control and technological prevention. Maximizing the technological benefits of these tools is crucial. However, users must also be mindful of the information they share and maintain control over their shared data.
智能手机应用程序,包括用于数字接触追踪(DCT)的应用程序,在 COVID-19 大流行期间对控制感染发挥了至关重要的作用。它们的主要功能是根据各种事件(如接触、接种疫苗、地点或感染)生成和传播信息,以打破传播链。尽管这些应用程序的功能已经得到了广泛的研究,但仍缺乏针对关键问题的定性研究。
我们将展示由于连续健康监测与透明度和用户主权相关的不确定性之间的紧张关系,使用 DCT 会带来挑战。一方面,DCT 能够监测各种风险因素,包括基于数据的感染概率计算。另一方面,连续风险管理与几个不确定性交织在一起,包括个人数据的存储方式不明确、谁可以访问它以及将来如何使用它。
我们重点关注德国的“Corona-Warn-App”,并使用 2020 年至 2021 年期间进行的 19 次专家访谈的实证数据支持我们的论点。访谈采用半结构化问卷进行,并根据扎根理论的原则进行分析。
我们的数据强调了三个维度:透明度、数据主权和东西部差距。虽然透明度被认为是通过提供安全感来建立对 DCT 使用信任的基本基础,但在大流行期间,数据主权被视为一项高价值,保护用户免受不必要的控制损失。东西部差距方面突出了将社会文化价值观和标准纳入技术的想法,强调了算法和数据驱动元素,如距离指标、接触和隔离,也受到社会文化因素的影响。
为了有效控制大流行,需要在个人控制和技术预防之间取得平衡,充分利用这些工具的技术优势。但是,用户还必须注意他们共享的信息,并保持对共享数据的控制。