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Author (up) Bennett Gayle, D.M.; Yuan, X.(J.); Dadson, Y.A.; Edwards, N.K.
Title Contact Tracing Mobile Applications in New York: A Qualitative Study on the Use and Privacy Perceptions Type Conference Article
Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023
Volume Issue Pages 620-635
Keywords COVID-19; race and ethnicity; age; contract tracing; mobile apps
Abstract Contact tracing mobile applications were used in several countries as the exclusive means of reducing the spread of the COVID-19 virus. In the United States (US), such mobile applications were not nationwide; several states adopted and developed mobile applications for use by the local citizenry. Previous research indicated that the use and adoption of such applications might be correlated to individual demographics. Using the Antecedent Privacy Concerns and Outcomes (APCO), this study assesses individuals' use, adoption, and privacy considerations when using the contact tracing mobile application in New York State. Focus group participants were interviewed to determine if age or race/ethnicity were confounding factors related to their use of these mobile applications. This qualitative study will contribute to the body of knowledge by operationalizing and expanding on the APCO model to further understand the service, privacy, and perception of mobile apps used during COVID-19.
Address
Corporate Author Thesis
Publisher University of Nebraska at Omaha Place of Publication Omaha, USA Editor Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
Language English Summary Language Original Title
Series Editor Hosssein Baharmand Series Title Abbreviated Series Title
Series Volume Series Issue Edition 1
ISSN ISBN Medium
Track Reimagining ethical, legal, and social issues in a COVID era Expedition Conference
Notes http://dx.doi.org/10.59297/GBZU8039 Approved no
Call Number ISCRAM @ idladmin @ Serial 2552
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Author (up) Carole Adam; Cédric Lauradoux
Title A Serious Game for Debating about the Use of Artificial Intelligence during the COVID-19 Pandemic Type Conference Article
Year 2022 Publication ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2022
Volume Issue Pages 554-563
Keywords Serious game; Artificial Intelligence; COVID-19; education
Abstract Crises always impose a difficult compromise between safety and liberty, and the COVID-19 pandemic is no different. Governments have enforced various sanitary restrictions to reduce virus spread. With the help of Artificial Intelligence (AI), the scale of surveillance has risen to unprecedented levels. However, these technologies entail many risks, from potential errors or biases, to their extended enforcement beyond the duration of the initial crisis. Citizens should be aware that these technologies are not infallible, and measure the consequences of errors, so as to make informed decisions about what they want to accept, and for how long. To this aim, we have designed a serious game in the form of a municipal debate between citizens of a virtual town. Some first test sessions helped us improve the game design, and provided proof of the interest of this game to trigger debates and raise awareness.
Address Univ. Grenoble-Alpes – LIG; Univ. Grenoble-Alpes – INRIA
Corporate Author Thesis
Publisher Place of Publication Tarbes, France Editor Rob Grace; Hossein Baharmand
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-82-8427-099-9 Medium
Track Reimagining Ethical, Legal, and Social Issues in a COVID Era Expedition Conference
Notes Approved no
Call Number ISCRAM @ idladmin @ Serial 2439
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