Alistair Sutcliffe
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
Authors
Dr Nelly Bencomo nelly.bencomo@durham.ac.uk
Associate Professor
Andy Darby
Luis H.G. Paucar
Professor Peter Sawyer peter.h.sawyer@durham.ac.uk
Academic Visitor
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 |
Files
Published Journal Article
(1.2 Mb)
PDF
Licence
http://creativecommons.org/licenses/by/4.0/
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
You might also like
Towards History-Aware Self-Adaptation with Explanation Capabilities
(2019)
Presentation / Conference Contribution
RaM: Causally-Connected and Requirements-Aware Runtime Models using Bayesian Learning
(2019)
Presentation / Conference Contribution
Temporal Models for History-Aware Explainability
(2020)
Presentation / Conference Contribution
RDMSim: An Exemplar for Evaluation and Comparison of Decision-Making Techniques for Self-Adaptation
(2021)
Presentation / Conference Contribution
Pri-AwaRE: Tool Support for priority-aware decision-making under uncertainty
(2021)
Presentation / Conference Contribution
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search