RAPID: SaTC: Information Privacy Tensions and Decisions in Families during COVID-19.
- Funded by National Science Foundation (NSF)
- Total publications:0 publications
Grant number: unknown
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Key facts
Disease
COVID-19Start & end year
20202021Known Financial Commitments (USD)
$199,849Funder
National Science Foundation (NSF)Principal Investigator
France BelangerResearch Location
United States of AmericaLead Research Institution
Virginia Polytechnic Institute and State UniversityResearch Priority Alignment
N/A
Research Category
Research to inform ethical issues
Research Subcategory
Research to inform ethical issues related to Public Health Measures
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Adults (18 and older)
Vulnerable Population
Unspecified
Occupations of Interest
Unspecified
Abstract
COVID-19 has thrown the world into a global health crisis and the largest economic downturn since the great depression. A key factor that allows economies to open is a contact tracing program consisting of apps on smartphones that know who people have been in contact with and can quickly notify those who have been near someone with a positive COVID-19 result. For contact tracing to work, a significant portion of the community must use the apps, raising privacy concerns. Tensions can arise in families as each member must decide whether to allow contact tracing on their smartphone. Any individual decision can affect the entire household. For example, if families go to dinner together and one member has contact tracing turned on, the entire family is functionally traced, leading to family disagreements about the acceptance of contact tracing. The objective of this research is to understand how these within-family tensions on privacy affect contact tracing choices and suggest solutions.
This research seeks to develop a family-level privacy process model that explains the series of activities and events that lead to a familial decision about privacy settings and use of contact tracing. The research uses a longitudinal qualitative and quantitative survey of parent-teen dyads at two points in time in different regions with both mandatory and volitional use of contact tracing. The research examines how decisions regarding usage of contact tracing technologies are negotiated within households and how to foster contact tracing acceptance within families. By identifying the processes and barriers to contact tracing acceptance, this research facilitates the domino effect of family-level adoption. Because each family?s identity extends beyond their household, this cascading effect can increase adoption to the household?s broader social networks. By understanding and reducing barriers to adoption within a family, we will be able to help obtain the critical mass of users necessary for successfully keeping COVID-19 infections at a manageable level.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
This research seeks to develop a family-level privacy process model that explains the series of activities and events that lead to a familial decision about privacy settings and use of contact tracing. The research uses a longitudinal qualitative and quantitative survey of parent-teen dyads at two points in time in different regions with both mandatory and volitional use of contact tracing. The research examines how decisions regarding usage of contact tracing technologies are negotiated within households and how to foster contact tracing acceptance within families. By identifying the processes and barriers to contact tracing acceptance, this research facilitates the domino effect of family-level adoption. Because each family?s identity extends beyond their household, this cascading effect can increase adoption to the household?s broader social networks. By understanding and reducing barriers to adoption within a family, we will be able to help obtain the critical mass of users necessary for successfully keeping COVID-19 infections at a manageable level.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.