Demarcating the Privacy Issues of Aarogya Setu App in Covid-19 Pandemic in India: An Exploration into Contact Tracing Mobile Applications from Elaboration Likelihood Model
Paper
| Paper/Presentation Title | Demarcating the Privacy Issues of Aarogya Setu App in Covid-19 Pandemic in India: An Exploration into Contact Tracing Mobile Applications from Elaboration Likelihood Model |
|---|---|
| Presentation Type | Paper |
| Authors | Acharya, Nirmal and Sharma, Abhishek |
| Journal or Proceedings Title | Proceedings of the 4th International Conference on HCI for Cybersecurity, Privacy, and Trust (HCI-CPT 2022) |
| Journal Citation | 13333, pp. 457-468 |
| Number of Pages | 12 |
| Year | 2022 |
| Publisher | Springer |
| Place of Publication | Switzerland |
| ISBN | 9783031055621 |
| 9783031055638 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-031-05563-8_28 |
| Web Address (URL) of Paper | https://link.springer.com/chapter/10.1007/978-3-031-05563-8_28 |
| Web Address (URL) of Conference Proceedings | https://link.springer.com/book/10.1007/978-3-031-05563-8 |
| Conference/Event | 4th International Conference on HCI for Cybersecurity, Privacy, and Trust (HCI-CPT 2022) |
| Event Details | 4th International Conference on HCI for Cybersecurity, Privacy, and Trust (HCI-CPT 2022) Delivery Online Event Date 26 Jun 2022 to end of 01 Jul 2022 |
| Abstract | Demand for contract tracing applications is significantly increasing as governments across the globe are relying on these mobile apps to help combat the spread of the COVID-19 virus. However, while this technology has a potential benefit, there is widespread concern that consumers’ fears around privacy and data protection prevent them from downloading such apps. By focusing on this emerging crisis, in this study, we investigate the potential obstacles imposed by privacy concerns (i.e., the perceived risk of accepting the app permission, the perceived risk of providing the information). This study also investigates the popularity of Aarogya Setu, the Indian government’s COVID-19 app. In doing so, we examine privacy concerns through the theoretical lens of the Elaboration Likelihood Model and explore the download intentions of new users. Using the above dimensions of privacy, we then propose a conceptual framework that depicts the influence of privacy concerns over the download intention of new users. Lastly, this paper provides suggestions to allow the Aarogya Setu to improve its perceived reliability among its users and increase downloads. |
| Keywords | Privacy concerns; COVID-19; Aarogya Setu; Elaboration likelihoodmodel; Download intention; Mobile applications |
| ANZSRC Field of Research 2020 | 4604. Cybersecurity and privacy |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Series | Lecture Notes in Computer Science |
| Byline Affiliations | University of Southern Queensland |
| Swinburne University of Technology |
https://research.usq.edu.au/item/z58y4/demarcating-the-privacy-issues-of-aarogya-setu-app-in-covid-19-pandemic-in-india-an-exploration-into-contact-tracing-mobile-applications-from-elaboration-likelihood-model
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