This paper is in the following e-collection/theme issue:

Design and Usability of Medical Devices (103) Web-based and Mobile Health Interventions (3357) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (148) Mobile Health (mhealth) (2982) Quality/Credibility of eHealth Information and Trust Issues (544) Contact Tracing for Public Health Policy (3) Infectious Diseases (non-STD/STI) (1592) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53940, first published .
Effects of User Experience in Automated Information Processing on Perceived Usefulness of Digital Contact-Tracing Apps: Cross-Sectional Survey Study

Effects of User Experience in Automated Information Processing on Perceived Usefulness of Digital Contact-Tracing Apps: Cross-Sectional Survey Study

Effects of User Experience in Automated Information Processing on Perceived Usefulness of Digital Contact-Tracing Apps: Cross-Sectional Survey Study

Authors of this article:

Tim Schrills1 Author Orcid Image ;   Lilian Kojan1 Author Orcid Image ;   Marthe Gruner1 Author Orcid Image ;   André Calero Valdez1 Author Orcid Image ;   Thomas Franke1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Tang Z, Zhao L, Li J, Yang Y, Liu F, Li H, Yang Z, Qin S, Li X. Prognostic effectiveness of interactive vs. non-interactive mobile app interventions in type 2 diabetes: a systematic review and meta-analysis. Archives of Public Health 2024;82(1) View