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

Sutcliffe, Alistair and Bencomo, Nelly and Darby, Andy and Paucar, Luis H.G. and Sawyer, Peter (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: 103140. ISSN 1071-5819

Full text not available from this repository.

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.

Item Type:
Journal Article
Journal or Publication Title:
International Journal of Human-Computer Studies
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/3300/3304
Subjects:
?? valuesuser choicetechnology acceptanceit productscovid-19 appeducationhuman factors and ergonomicshardware and architecturesoftwaregeneral engineeringhuman-computer interactionengineering(all) ??
ID Code:
208580
Deposited By:
Deposited On:
30 Oct 2023 11:40
Refereed?:
Yes
Published?:
Published
Last Modified:
14 Nov 2024 15:30