Journal
2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC)
Volume -, Issue -, Pages 2215-2221Publisher
IEEE
DOI: 10.1109/EMBC46164.2021.9630949
Keywords
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Funding
- German Federal Ministry of Education and Research [01KX2021]
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Despite the promising impression for pandemic control, issues such as privacy policy were revealed in the usability assessment of the German COVID-19 contact tracing app Corona-Warn-App, suggesting the need for further improvements in future updates.
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.
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