Published on in Vol 9, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33951, first published .
Modeling Trust in COVID-19 Contact-Tracing Apps Using the Human-Computer Trust Scale: Online Survey Study

Modeling Trust in COVID-19 Contact-Tracing Apps Using the Human-Computer Trust Scale: Online Survey Study

Modeling Trust in COVID-19 Contact-Tracing Apps Using the Human-Computer Trust Scale: Online Survey Study

Authors of this article:

Sonia Sousa1, 2 Author Orcid Image ;   Tiina Kalju1 Author Orcid Image

Journals

  1. Udeagu C, Pitiranggon M, Misra K, Huang J, Terilli T, Ramos Y, Alexander M, Kim C, Lee D, Blaney K, Keeley C, Long T, Vora N. Outcomes of a Community Engagement and Information Gathering Program to Support Telephone-Based COVID-19 Contact Tracing: Descriptive Analysis. JMIR Public Health and Surveillance 2022;8(11):e40977 View
  2. Sousa S, Cravino J, Martins P. Challenges and Trends in User Trust Discourse in AI Popularity. Multimodal Technologies and Interaction 2023;7(2):13 View
  3. Sousa S, Lamas D, Cravino J, Martins P. Human-Centered Trustworthy Framework: A Human–Computer Interaction Perspective. Computer 2024;57(3):46 View
  4. Firmino de Souza D, Sousa S, Kristjuhan-Ling K, Dunajeva O, Roosileht M, Pentel A, Mõttus M, Can Özdemir M, Gratšjova Ž. Trust and Trustworthiness from Human-Centered Perspective in Human–Robot Interaction (HRI)—A Systematic Literature Review. Electronics 2025;14(8):1557 View

Books/Policy Documents

  1. Beltrão G, Sousa S, Lamas D. Human-Computer Interaction – INTERACT 2023. View

Conference Proceedings

  1. Beltrão G, Sousa S, Lamas D. Proceedings of the 4th African Human Computer Interaction Conference. Unmasking Trust: Examining Users' Perspectives of Facial Recognition Systems in Mozambique View