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User Concerns & Tradeoffs in Technology-facilitated COVID-19 Response

Published: 17 November 2020 Publication History

Abstract

The COVID-19 pandemic spread across the world in late 2019 and early 2020. As the pandemic spread, technologists joined forces with public health officials to develop apps to support COVID-19 response. Yet, for these technological solutions to benefit public health, users must be willing to adopt these apps. This article details a framework of inputs to a user’s decision to adopt a COVID-19 contact-tracing app or other COVID-19 technology along four major axes: technology benefits, solution accuracy, privacy considerations, and mobile-related costs. This framework is empirically validated via both the literature and a demographically-representative survey of 1,000 Americans.

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  1. User Concerns & Tradeoffs in Technology-facilitated COVID-19 Response

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      Published In

      cover image Digital Government: Research and Practice
      Digital Government: Research and Practice  Volume 2, Issue 1
      COVID-19 Commentaries
      January 2021
      116 pages
      EISSN:2639-0175
      DOI:10.1145/3434277
      Issue’s Table of Contents
      This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives International 4.0 License.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 17 November 2020
      Online AM: 30 October 2020
      Accepted: 01 October 2020
      Revised: 01 September 2020
      Received: 01 July 2020
      Published in DGOV Volume 2, Issue 1

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      Author Tags

      1. Covid-19
      2. accuracy
      3. adoption
      4. contact tracing
      5. privacy
      6. usability
      7. user tradeoffs

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      • (2024)Enhancing user experience and trust in advanced LLM-based conversational agentsComputing and Artificial Intelligence10.59400/cai.v2i2.14672:2(1467)Online publication date: 17-Aug-2024
      • (2024)Impact of COVID-19 on Electronic-Governance AdoptionHarnessing AI, Blockchain, and Cloud Computing for Enhanced e-Government Services10.4018/979-8-3693-7678-2.ch016(511-542)Online publication date: 13-Dec-2024
      • (2024)Post-Pandemic Data Privacy: Contextual Acceptance of COVID-19 Mitigation Mobile Applications in the US (Preprint)Journal of Medical Internet Research10.2196/57309Online publication date: 16-Feb-2024
      • (2024)The Roles of Trust in Government and Sense of Community in the COVID-19 Contact Tracing Privacy Calculus: Mixed Method Study Using a 2-Wave Survey and In-Depth InterviewsJMIR mHealth and uHealth10.2196/4898612(e48986)Online publication date: 7-Mar-2024
      • (2024)Digital Contact Tracing for Pandemic Response: The Roles of Cultural Worldviews and Technology AwarenessInformation Systems Research10.1287/isre.2021.025335:4(1766-1784)Online publication date: Dec-2024
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      • (2024)Exploring individual's public trust in the NHS Test and Trace System – A pragmatic reflexive thematic analysisInternet Interventions10.1016/j.invent.2024.10074036(100740)Online publication date: Jun-2024
      • (2023)Exploring privacy and incentives considerations in adoption of COVID-19 contact tracing appsProceedings of the 32nd USENIX Conference on Security Symposium10.5555/3620237.3620267(517-534)Online publication date: 9-Aug-2023
      • (2023)Predictors of COVID-19 From a Statewide Digital Symptom and Risk Assessment Tool: Cross-Sectional StudyJournal of Medical Internet Research10.2196/4602625(e46026)Online publication date: 25-Jul-2023
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