Public Views on Digital COVID-19 Certificates: a Mixed Methods User Study

Leysan Nurgalieva; Seamus Ryan; Andreas Balaskas; Janne Lindqvist; Gavin Doherty

doi:10.1145/3491102.3502066

Public Views on Digital COVID-19 Certificates: a Mixed Methods User Study

Leysan Nurgalieva, Seamus Ryan, Andreas Balaskas, Janne Lindqvist, Gavin Doherty

Trinity College Dublin

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

7 Sitaatiot (Scopus)

101 Lataukset (Pure)

Abstrakti

The COVID-19 pandemic has led governments worldwide to introduce various measures restricting human activity and mobility. Along with the administration of COVID-19 vaccinations and rapid testing, socio-technological solutions such as digital COVID-19 certificates have been considered as a strategy to lessen these restrictions and allow the resumption of routine activities. Using a mixed-methods approach - a survey (n=1008) and 27 semi-structured interviews - this study explores the attitudes of residents in the Republic of Ireland towards the idea of introducing digital COVID-19 certificates. We examine the topics of acceptability, fairness, security and privacy of COVID-related personal data, and practical considerations for implementation. Our study reveals the conditional and contextual nature of the acceptability of digital certificates, identifying specific factors that affect it, associated data practices, and related public concerns and expectations of such technologies.

Alkuperäiskieli	Englanti
Otsikko	CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Kustantaja	ACM
ISBN (elektroninen)	978-1-4503-9157-3
DOI - pysyväislinkit	https://doi.org/10.1145/3491102.3502066
Tila	Julkaistu - 29 huhtik. 2022
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	ACM SIGCHI Annual Conference on Human Factors in Computing Systems - Virtual, Online, New Orleans, Yhdysvallat Kesto: 30 huhtik. 2022 → 5 toukok. 2022

Conference

Conference	ACM SIGCHI Annual Conference on Human Factors in Computing Systems
Lyhennettä	ACM CHI
Maa/Alue	Yhdysvallat
Kaupunki	New Orleans
Ajanjakso	30/04/2022 → 05/05/2022

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10.1145/3491102.3502066Lisenssi: CC BY

Public Views on Digital COVID-19 Certificates_a Mixed Methods User StudyFinal published version, 1,36 MBLisenssi: CC BY

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title = "Public Views on Digital COVID-19 Certificates: a Mixed Methods User Study",

abstract = "The COVID-19 pandemic has led governments worldwide to introduce various measures restricting human activity and mobility. Along with the administration of COVID-19 vaccinations and rapid testing, socio-technological solutions such as digital COVID-19 certificates have been considered as a strategy to lessen these restrictions and allow the resumption of routine activities. Using a mixed-methods approach - a survey (n=1008) and 27 semi-structured interviews - this study explores the attitudes of residents in the Republic of Ireland towards the idea of introducing digital COVID-19 certificates. We examine the topics of acceptability, fairness, security and privacy of COVID-related personal data, and practical considerations for implementation. Our study reveals the conditional and contextual nature of the acceptability of digital certificates, identifying specific factors that affect it, associated data practices, and related public concerns and expectations of such technologies.",

keywords = "COVID certificate, COVID-19, digital health, fairness, privacy, security",

author = "Leysan Nurgalieva and Seamus Ryan and Andreas Balaskas and Janne Lindqvist and Gavin Doherty",

note = "Funding Information: This project has received funding from the European Union{\textquoteright}s Horizon 2020 research and innovation programme under the Marie Sk{\l}odowska-Curie grant agreement No 754489. It was also supported, in part, by Science Foundation Ireland grants 13/RC/2094 and 18/CRT/6222, and co-funded under the European Regional Development Fund through the Southern & Eastern Regional Operational Programme to Lero – the Irish Software Research Centre (www.lero.ie). Publisher Copyright: {\textcopyright} 2022 Owner/Author.; ACM SIGCHI Annual Conference on Human Factors in Computing Systems, ACM CHI ; Conference date: 30-04-2022 Through 05-05-2022",

year = "2022",

month = apr,

day = "29",

doi = "10.1145/3491102.3502066",

language = "English",

booktitle = "CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems",

publisher = "ACM",

address = "United States",

}

Nurgalieva, L, Ryan, S, Balaskas, A, Lindqvist, J & Doherty, G 2022, Public Views on Digital COVID-19 Certificates: a Mixed Methods User Study. julkaisussa CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems., 75, ACM, ACM SIGCHI Annual Conference on Human Factors in Computing Systems, New Orleans, Louisiana, Yhdysvallat, 30/04/2022. https://doi.org/10.1145/3491102.3502066

TY - GEN

T1 - Public Views on Digital COVID-19 Certificates

T2 - ACM SIGCHI Annual Conference on Human Factors in Computing Systems

AU - Nurgalieva, Leysan

AU - Ryan, Seamus

AU - Balaskas, Andreas

AU - Lindqvist, Janne

AU - Doherty, Gavin

N1 - Funding Information: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 754489. It was also supported, in part, by Science Foundation Ireland grants 13/RC/2094 and 18/CRT/6222, and co-funded under the European Regional Development Fund through the Southern & Eastern Regional Operational Programme to Lero – the Irish Software Research Centre (www.lero.ie). Publisher Copyright: © 2022 Owner/Author.

PY - 2022/4/29

Y1 - 2022/4/29

N2 - The COVID-19 pandemic has led governments worldwide to introduce various measures restricting human activity and mobility. Along with the administration of COVID-19 vaccinations and rapid testing, socio-technological solutions such as digital COVID-19 certificates have been considered as a strategy to lessen these restrictions and allow the resumption of routine activities. Using a mixed-methods approach - a survey (n=1008) and 27 semi-structured interviews - this study explores the attitudes of residents in the Republic of Ireland towards the idea of introducing digital COVID-19 certificates. We examine the topics of acceptability, fairness, security and privacy of COVID-related personal data, and practical considerations for implementation. Our study reveals the conditional and contextual nature of the acceptability of digital certificates, identifying specific factors that affect it, associated data practices, and related public concerns and expectations of such technologies.

AB - The COVID-19 pandemic has led governments worldwide to introduce various measures restricting human activity and mobility. Along with the administration of COVID-19 vaccinations and rapid testing, socio-technological solutions such as digital COVID-19 certificates have been considered as a strategy to lessen these restrictions and allow the resumption of routine activities. Using a mixed-methods approach - a survey (n=1008) and 27 semi-structured interviews - this study explores the attitudes of residents in the Republic of Ireland towards the idea of introducing digital COVID-19 certificates. We examine the topics of acceptability, fairness, security and privacy of COVID-related personal data, and practical considerations for implementation. Our study reveals the conditional and contextual nature of the acceptability of digital certificates, identifying specific factors that affect it, associated data practices, and related public concerns and expectations of such technologies.

KW - COVID certificate

KW - COVID-19

KW - digital health

KW - fairness

KW - privacy

KW - security

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DO - 10.1145/3491102.3502066

M3 - Conference article in proceedings

AN - SCOPUS:85130548184

BT - CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

PB - ACM

Y2 - 30 April 2022 through 5 May 2022

ER -

Public Views on Digital COVID-19 Certificates: a Mixed Methods User Study

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