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Understanding Trust and Changes in Use After a Year With the NHS COVID-19 Contact Tracing App in the United Kingdom: Longitudinal Mixed Methods Study

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11673-021-10127-xopenalex-snapshot
Ecologies of Public Trust: The NHS COVID-19 Contact Tracing App
inferredcites →https://doi.org/10.1007/s11845-020-02389-yopenalex-snapshot
A national survey of attitudes to COVID-19 digital contact tracing in the Republic of Ireland
inferredcites →https://doi.org/10.1016/j.chb.2021.106806openalex-snapshot
Exploring the competing influences of privacy concerns and positive beliefs on citizen acceptance of contact tracing mobile applications
inferredcites →https://doi.org/10.1016/j.comcom.2020.11.007openalex-snapshot
Do we need a contact tracing app?
inferredcites →https://doi.org/10.1016/j.scs.2021.102995openalex-snapshot
Digital contact tracing, community uptake, and proximity awareness technology to fight COVID-19: a systematic review
inferredcites →https://doi.org/10.1016/s2589-7500(20)30184-9openalex-snapshot
Automated and partly automated contact tracing: a systematic review to inform the control of COVID-19
inferredcites →https://doi.org/10.1038/s41586-021-03606-zopenalex-snapshot
The epidemiological impact of the NHS COVID-19 app
inferredcites →https://doi.org/10.1080/0960085x.2020.1784046openalex-snapshot
One app to trace them all? Examining app specifications for mass acceptance of contact-tracing apps
inferredcites →https://doi.org/10.1093/jamiaopen/ooy048openalex-snapshot
Beyond novelty effect: a mixed-methods exploration into the motivation for long-term activity tracker use
inferredcites →https://doi.org/10.1108/imds-12-2020-0697openalex-snapshot
Hybrid analysis for understanding contact tracing apps adoption
inferredcites →https://doi.org/10.1109/tem.2020.3019033openalex-snapshot
Digital Health Innovation: Exploring Adoption of COVID-19 Digital Contact Tracing Apps
inferredcites →https://doi.org/10.1126/sciadv.abd8750openalex-snapshot
Anatomy of digital contact tracing: Role of age, transmission setting, adoption, and case detection
inferredcites →https://doi.org/10.1136/bmj.n1822openalex-snapshot
Sixty seconds on . . . the pingdemic
inferredcites →https://doi.org/10.1145/1514095.1514106openalex-snapshot
Robots in the wild
inferredcites →https://doi.org/10.1145/3411763.3451631openalex-snapshot
Tracing Contacts With Mobile Phones to Curb the Pandemic:Topics and Stances in People’s Online Comments About the Official German Contact-Tracing App
inferredcites →https://doi.org/10.1145/3411764.3445485openalex-snapshot
Us and Them (and It): Social Orientation, Privacy Concerns, and Expected Use of Pandemic-Tracking Apps in the United States
inferredcites →https://doi.org/10.1145/3411764.3445517openalex-snapshot
Apps Against the Spread: Privacy Implications and User Acceptance of COVID-19-Related Smartphone Apps on Three Continents
inferredcites →https://doi.org/10.1145/3411764.3445669openalex-snapshot
Comparing Perspectives Around Human and Technology Support for Contact Tracing
inferredcites →https://doi.org/10.1145/3488307openalex-snapshot
How Good is Good Enough? Quantifying the Impact of Benefits, Accuracy, and Privacy on Willingness to Adopt COVID-19 Decision Aids
inferredcites →https://doi.org/10.1145/3491102.3501869openalex-snapshot
Field Evidence of the Effects of Privacy, Data Transparency, and Pro-social Appeals on COVID-19 App Attractiveness
inferredcites →https://doi.org/10.1145/3491102.3501963openalex-snapshot
Unpacking Intention and Behavior: Explaining Contact Tracing App Adoption and Hesitancy in the United States
inferredcites →https://doi.org/10.1145/3491102.3502112openalex-snapshot
Still Creepy After All These Years:The Normalization of Affective Discomfort in App Use
inferredcites →https://doi.org/10.1145/3498366.3505756openalex-snapshot
COVID-19 Information-Tracking Solutions: A Qualitative Investigation of the Factors Influencing People’s Adoption Intention
inferredcites →https://doi.org/10.1146/annurev.me.23.020172.002203openalex-snapshot
Learned Helplessness
inferredcites →https://doi.org/10.1162/daed_a_00114openalex-snapshot
Online Trust, Trustworthiness, or Assurance?
inferredcites →https://doi.org/10.1177/1368430220967986openalex-snapshot
The dangers of distrustful complacency: Low concern and low political trust combine to undermine compliance with governmental restrictions in the emerging Covid-19 pandemic
inferredcites →https://doi.org/10.1177/19485506211019844openalex-snapshot
Predicting Behavioral Intentions to Prevent or Mitigate COVID-19: A Cross-Cultural Meta-Analysis of Attitudes, Norms, and Perceived Behavioral Control Effects
inferredcites →https://doi.org/10.1191/1478088706qp063oaopenalex-snapshot
Using thematic analysis in psychology
inferredcites →https://doi.org/10.1518/hfes.46.1.50.30392openalex-snapshot
Trust in Automation: Designing for Appropriate Reliance
inferredcites →https://doi.org/10.2196/17256openalex-snapshot
Technology Acceptance in Mobile Health: Scoping Review of Definitions, Models, and Measurement
inferredcites →https://doi.org/10.2196/19857openalex-snapshot
Acceptability of App-Based Contact Tracing for COVID-19: Cross-Country Survey Study
inferredcites →https://doi.org/10.2196/20572openalex-snapshot
Adoption of a Contact Tracing App for Containing COVID-19: A Health Belief Model Approach
inferredcites →https://doi.org/10.2196/21613openalex-snapshot
Motivations for Social Distancing and App Use as Complementary Measures to Combat the COVID-19 Pandemic: Quantitative Survey Study
inferredcites →https://doi.org/10.2196/23194openalex-snapshot
COVID-19 Contact Tracing Apps: A Technologic Tower of Babel and the Gap for International Pandemic Control
inferredcites →https://doi.org/10.2196/25701openalex-snapshot
Drivers of Acceptance of COVID-19 Proximity Tracing Apps in Switzerland: Panel Survey Analysis
inferredcites →https://doi.org/10.2196/26318openalex-snapshot
User Experiences of the NZ COVID Tracer App in New Zealand: Thematic Analysis of Interviews
inferredcites →https://doi.org/10.2196/27449openalex-snapshot
Contact Tracing Apps: Lessons Learned on Privacy, Autonomy, and the Need for Detailed and Thoughtful Implementation
inferredcites →https://doi.org/10.2196/29085openalex-snapshot
Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study
inferredcites →https://doi.org/10.2196/jmir.2143openalex-snapshot
Development of a Health Information Technology Acceptance Model Using Consumers’ Health Behavior Intention
inferredcites →https://doi.org/10.3389/fdgth.2021.660823openalex-snapshot
Digital Contact Tracing Against COVID-19 in Europe: Current Features and Ongoing Developments
inferredcites →https://doi.org/10.3390/informatics8030048openalex-snapshot
Digital Contact Tracing Applications during COVID-19: A Scoping Review about Public Acceptance
inferredcites →https://doi.org/10.4108/icst.pervasivehealth.2012.248715openalex-snapshot
Text Messages for Encouraging Physical Activity Are they effective after the novelty effect wears off?
inferredcites →https://doi.org/10.53841/bpsqmip.2022.1.33.46openalex-snapshot
Thematic Analysis: A Practical Guide

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s12553-024-00857-4openalex-snapshot
Digital contact tracing technology in the COVID-19 pandemic: a systematic review
inferred← citeshttps://doi.org/10.1007/s43545-023-00740-5openalex-snapshot
“The pingdemic has been a greater challenge than Covid itself”: semantic prosodies in UK newspaper articles during the pandemic
inferred← citeshttps://doi.org/10.1007/s43681-023-00414-1openalex-snapshot
“ChatGPT says no”: agency, trust, and blame in Twitter discourses after the launch of ChatGPT
inferred← citeshttps://doi.org/10.1016/j.invent.2024.100740openalex-snapshot
Exploring individual's public trust in the NHS Test and Trace System – A pragmatic reflexive thematic analysis
inferred← citeshttps://doi.org/10.1017/s1474746424000678openalex-snapshot
Post-COVID, Digital Societies: Opportunities and Policy Challenges for Human Security in the United Kingdom and South Korea
inferred← citeshttps://doi.org/10.1111/add.16438openalex-snapshot
Beyond ‘single customer view’: Player tracking's potential role in understanding and reducing gambling‐related harm
inferred← citeshttps://doi.org/10.1145/3663384.3663394openalex-snapshot
Telepresence Robots for Remote Participation in Higher Education
inferred← citeshttps://doi.org/10.1145/3686038.3686065openalex-snapshot
Technology for Environmental Policy: Exploring Perceptions, Values, and Trust in a Citizen Carbon Budget App
inferred← citeshttps://doi.org/10.1145/3765625openalex-snapshot
Contact-Tracing App Acceptance Decisions are Multifaceted and Entangled
inferred← citeshttps://doi.org/10.1177/20501579241235503openalex-snapshot
Life fits home: Exploring people's experience with a COVID-19 tracing app in Turkey through a qualitative study
inferred← citeshttps://doi.org/10.2196/50388openalex-snapshot
Perceptions of the Agency and Responsibility of the NHS COVID-19 App on Twitter: Critical Discourse Analysis
inferred← citeshttps://doi.org/10.2196/53805openalex-snapshot
Assessment of Eye Care Apps for Children and Adolescents Based on the Mobile App Rating Scale: Content Analysis and Quality Assessment
inferred← citeshttps://doi.org/10.2196/76863openalex-snapshot
Characteristics Influencing Support for the National Health Service COVID-19 App in England and Wales: Findings From a Longitudinal Survey
inferred← citeshttps://doi.org/10.3390/app15020865openalex-snapshot
Privacy and Security in Digital Health Contact-Tracing: A Narrative Review
inferred← citeshttps://doi.org/10.3390/healthcare11081163openalex-snapshot
mHealth and COVID-19: A Bibliometric Study
inferred← citeshttps://doi.org/10.4236/am.2024.153013openalex-snapshot
Privacy Protection in COVID Data Tracking: Textual Analysis of the Literature
inferred← citeshttps://doi.org/10.4236/am.2024.158032openalex-snapshot
Statistical Analysis of Abilities to Give Consent to Health Data Processing
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