Learnings from the design and acceptance of the German COVID-19 tracing app for IS-driven crisis management: a design science research

Author:

Behne AlinaORCID,Krüger Nicolai,Beinke Jan Heinrich,Teuteberg Frank

Abstract

Abstract Background This article investigates the research problem of digital solutions to overcome the pandemic, more closely examining the limited effectiveness and scope of the governmental COVID-19 tracing apps, using the German COVID-19 tracing app (Corona-Warn-App) as an example. A well-designed and effective instrument in the technological toolbox is of utmost importance to overcome the pandemic. Method A multi-methodological design science research approach was applied. In three development and evaluation cycles, we presented, prototyped, and tested user-centered ideas of functional and design improvement. The applied procedure contains (1) a survey featuring 1993 participants from Germany for evaluating the current app, (2) a gathering of recommendations from epidemiologists and from a focus group discussion with IT and health experts identifying relevant functional requirements, and (3) an online survey combined with testing our prototype with 53 participants to evaluate the enhanced tracing app. Results This contribution presents 14 identified issues of the German COVID-19 tracing app, six meta-requirements, and three design principles for COVID-19 tracing apps and future pandemic apps (e.g., more user involvement and transparency). Using an interactive prototype, this study presents an extended pandemic app, containing 13 potential front-end (i.e., information on the regional infection situation, education and health literacy, crowd and event notification) and six potential back-end functional requirements (i.e., ongoing modification of risk score calculation, indoor versus outdoor). In addition, a user story approach for the COVID-19 tracing app was derived from the findings, supporting a holistic development approach. Conclusion Throughout this study, practical relevant findings can be directly transferred to the German and other international COVID-19 tracing applications. Moreover, we apply our findings to crisis management theory—particularly pandemic-related apps—and derive interdisciplinary learnings. It might be recommendable for the involved decision-makers and stakeholders to forego classic application management and switch to using an agile setup, which allows for a more flexible reaction to upcoming changes. It is even more important for governments to have a well-established, flexible, design-oriented process for creating and adapting technology to handle a crisis, as this pandemic will not be the last one.

Funder

Bundesministerium für Ernährung und Landwirtschaft

Universität Osnabrück

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Health Policy,Computer Science Applications

Reference58 articles.

1. Ahmad F, Younis S, Shahzad M. Combating COVID-19 through digital contact tracing. IEEE Internet of Things Magazine. 2020.

2. Baier L, Kühl N, Schöffer J, Satzger G. Utilizing concept drift for measuring the effectiveness of policy interventions: The case of the COVID-19 pandemic. arXiv:2012.03728. Accessed 15 Dec 2020.

3. BBC. Singapore hands out coronavirus tracing devices. 2020. https://www.bbc.com/news/business-53216450. Accessed 1 Dec 2020.

4. Becker S, Degeling M, Dürmuth M, Farke FM, Schaewitz L, Schnitzler T, Utz C. Akzeptanz von Corona-Apps in Deutschland vor der Einführung der Corona-Warn-App (engl. Acceptance of Corona apps in Germany before the introduction of the Corona-Warn-App). 2020. Preprint at: https://emsec.ruhr-uni-bochum.de/media/mobsec/veroeffentlichungen/2020/06/29/corona_apps_de1_preprint_de.pdf.

5. Böhme M. Diagnosis Key Analysis: Statistische Analyse und Visualisierung der täglichen Diagnoseschlüssel der deutschen COVID-19 Tracing-App (Corona-Warn-App) (engl. Statistical analysis and visualization of the daily diagnostic keys of the German COVID-19 tracing app). In: GitHub. 2020. https://github.com/micb25/dka. Accessed 1 Nov 2020.

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