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Exploring the Usability of the German COVID-19 Contact Tracing App in a Combined Eye Tracking and Retrospective Think Aloud Study

Winter, Michael and Baumeister, Harald and Frick, Ulrich and Tallon, Miles and Reichert, Manfred and Pryss, Rüdiger (2021) Exploring the Usability of the German COVID-19 Contact Tracing App in a Combined Eye Tracking and Retrospective Think Aloud Study. In: 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2021), October 31 – November 4, 2021, Virtual.

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Abstract

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.

Item Type:Conference or Workshop Item (Paper)
Subjects:DBIS Research > Publications
ID Code:2034
Deposited By: Herr Michael Winter
BibTex Export:BibTeX
Deposited On:06 Oct 2021 16:22
Last Modified:06 Oct 2021 16:22

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