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Abstract:
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Researchers are increasingly collecting smartphone data to study social and behavioral phenomena. Passively collected data from smartphone sensors (e.g., accelerometer, GPS) and log files (e.g., calls and SMS, app usage) have the potential to provide accurate information about users’ behaviors and might thus replace survey questions. In addition, smartphone users are often asked to perform active research tasks (e.g., take pictures, scan receipts) to facilitate and augment self-reports. However, users might not agree to engage in smartphone data collection due to security, privacy, and confidentiality concerns. In this presentation, we provide an overview of our recent research about the effect of privacy concerns on willingness to share smartphone data. We show that users have differential concerns when asked to share different types of smartphone data. These concerns vary across subgroups of smartphone users with different use habits indicating that conclusions drawn from the data might be biased. We investigate the role of trust in the data collecting organization and whether emphasizing privacy and confidentiality in the request to share data has an effect on willingness.
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