To download or not to download the Covid-19 Track and Trace App? What is more influential in users’ minds?

Sutcliffe, Alistair; Bencomo, Nelly; Darby, Andy; Paucar, Luis H.G.; Sawyer, Peter

Abstract

Objectives
to investigate the role of values in technology acceptance in general and in the context of the UK Covid Track and Trace App.

Methods
A survey and interview study was conducted to elicit users’ perceptions of values in general, values in relation to choice of IT products and values which were influenced the decision to download (or not) the NHS Covid-19 Track and Trace App. Other non-value issues such as utility, price and recommendations were considered.

Results
Users’ value in life differ slightly from those considered important for selecting IT products. For general IT product decisions, functionality, trust and price with values equality, security and sustainability were important. For the Covid-19 App decision two values, helpfulness and equality, with recommendations/trust and operating system compatibility, were the main influences. Interview data indicated that downloader users were motivated by social responsibility and utility – being able to access workplaces and leisure venues – while non-downloaders had little perceived need for the App, combined with mistrust of the App's provenance (NHS and the Government) linked to security and privacy concerns. The implications for values in technology acceptance decisions are discussed.

Citation

Sutcliffe, A., Bencomo, N., Darby, A., Paucar, L. H., & Sawyer, P. (2023). To download or not to download the Covid-19 Track and Trace App? What is more influential in users’ minds?. International Journal of Human-Computer Studies, 180, Article 103140. https://doi.org/10.1016/j.ijhcs.2023.103140

• Journal Article Type: Article
• Acceptance Date: Aug 24, 2023
• Online Publication Date: Aug 28, 2023
• Publication Date: 2023-12
• Deposit Date: Jan 15, 2024
• Publicly Available Date: Jan 15, 2024
• Journal: International Journal of Human-Computer Studies
• Print ISSN: 1071-5819
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 180
• Article Number: 103140
• DOI: https://doi.org/10.1016/j.ijhcs.2023.103140
• Keywords: Hardware and Architecture; Human-Computer Interaction; General Engineering; Education; Human Factors and Ergonomics; Software
• Public URL: https://durham-repository.worktribe.com/output/2146974