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Incentivising the Adoption of COVID-19 Contact-Tracing Apps: A Randomised Controlled Online Experiment on the German Corona-Warn-App

Published: 29 June 2021 Publication History

Abstract

Contact-tracing apps constitute a key pillar of many nations' public health strategy to contain the COVID-19 pandemic. However, the effectiveness of digital contact-tracing depends crucially on widespread app installation and usage among citizens. Despite the large social benefits, evidence on the effectiveness of incentives to stimulate adoption of contact-tracing apps is scarce. Whereas monetary compensations for app installation or usage provide users with a direct economic benefit, research in related health domains has found that extrinsic incentives may crowd out intrinsic motivation and pro-social behaviour. Thus, we conduct a randomised controlled online experiment to evaluate the effectiveness of different incentive mechanisms in promoting the installation and usage of the German Corona-Warn-App (CWA). We find that monetary incentives are effective in significantly increasing verified app installations and app usage 14 days after installation, up to three times the usage without compensation. Deferred monetary compensation for verified usage yields lower installation rates than immediate monetary compensation for installation, but sustains the highest retention rate among adopters. Non-monetary compensation in the form of optional charity donations is found to be ineffective in promoting installations or usage beyond outcomes of monetary incentives, suggesting that there is no substantial crowding-out of intrinsic motives. This suggests that monetary incentives can serve as an important policy instrument to encourage the adoption of contact-tracing apps and contain the spread of COVID-19.

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Cited By

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  • (2023)52 Weeks Later: Attitudes Towards COVID-19 Apps for Different Purposes Over TimeProceedings of the ACM on Human-Computer Interaction10.1145/36100427:CSCW2(1-45)Online publication date: 4-Oct-2023
  • (2022)What Went Wrong with the IMMUNI Contact-Tracing App in Italy? A Cross-Sectional Survey on the Attitudes and Experiences among Healthcare University StudentsLife10.3390/life1206087112:6(871)Online publication date: 10-Jun-2022
  • (2022)#34;You have been in Close Contact with a Person Infected with COVID-19 and you may have been Infected#34;Proceedings of the ACM on Human-Computer Interaction10.1145/35467396:MHCI(1-27)Online publication date: 20-Sep-2022

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cover image ACM Conferences
SIGMIS-CPR '21: Proceedings of the 2021 Computers and People Research Conference
June 2021
104 pages
ISBN:9781450384063
DOI:10.1145/3458026
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 29 June 2021

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Author Tags

  1. COVID-19
  2. app adoption
  3. contact-tracing apps
  4. data donation
  5. health privacy
  6. incentives
  7. online experiment
  8. pro-social behaviour

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  • Bavarian State Ministry of Science and the Arts

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View all
  • (2023)52 Weeks Later: Attitudes Towards COVID-19 Apps for Different Purposes Over TimeProceedings of the ACM on Human-Computer Interaction10.1145/36100427:CSCW2(1-45)Online publication date: 4-Oct-2023
  • (2022)What Went Wrong with the IMMUNI Contact-Tracing App in Italy? A Cross-Sectional Survey on the Attitudes and Experiences among Healthcare University StudentsLife10.3390/life1206087112:6(871)Online publication date: 10-Jun-2022
  • (2022)#34;You have been in Close Contact with a Person Infected with COVID-19 and you may have been Infected#34;Proceedings of the ACM on Human-Computer Interaction10.1145/35467396:MHCI(1-27)Online publication date: 20-Sep-2022

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