Literature DB >> 34891727

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

Michael Winter, Harald Baumeister, Ulrich Frick, Miles Tallon, Manfred Reichert, Rudiger Pryss.   

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.

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Year:  2021        PMID: 34891727     DOI: 10.1109/EMBC46164.2021.9630949

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  2 in total

1.  Utilization of Random Forest Classifier and Artificial Neural Network for Predicting Factors Influencing the Perceived Usability of COVID-19 Contact Tracing "MorChana" in Thailand.

Authors:  Ardvin Kester S Ong; Yogi Tri Prasetyo; Nattakit Yuduang; Reny Nadlifatin; Satria Fadil Persada; Kirstien Paola E Robas; Thanatorn Chuenyindee; Thapanat Buaphiban
Journal:  Int J Environ Res Public Health       Date:  2022-06-29       Impact factor: 4.614

2.  User perceptions about sharing exposure notification information for communicable diseases.

Authors:  Benjamin Schooley; Sue S Feldman
Journal:  Front Digit Health       Date:  2022-07-28
  2 in total

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