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The CO-oPS ("Community Oversight for Privacy and Security") app allows trusted community members to review one another’s apps installed and permissions granted to those apps. Community members can provide feedback to one another regarding their privacy behaviors. Users are also allowed to hide some of their mobile apps that they do not like others to see, ensuring their personal privacy.more » « less
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Alghamdi, L. ; Akter, M. ; Cardenas, C.S. ; Cruces, D. ; Wiese, J. ; Kropczynski, J. ; Lipford, H.R. ; Wisniewski, P. ( , The Proceedings of the ACM on Human-Computer Interaction, (CSCW 2022))We developed “MiSu” an Android and iOS app that allows smart home homeowners to share their devices (e.g., Ring doorbell, security alarm, smart door lock, smart light bulb) with people outside of their home to control what, when, and how they can engage with the smart devices. MiSu provides options for fine-grain access control, the ability for guests to control smart homes using their own device and login, and provides homeowners real-time logs where they can view all actions taken by guests invited to interact with their smart homes.more » « less
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Elrod, N. ; Mahajan, P. ; Katragadda, M. ; Halse, S. ; Kropczynski, J. ( , Proceedings of the International ISCRAM Conference)null (Ed.)During the COVID-19 health crisis, local public officials continue to expend considerable energy encouraging citizens to comply with prevention measures in order to reduce the spread of infection. During the pandemic, mask-wearing has been accepted among health officials as a simple preventative measure; however, some local areas have been more likely to comply than others. This paper explores methods to better understand local attitudes towards mask-wearing as a tool for public health officials’ situational awareness when preparing public messaging campaigns. This exploration compares three methods to explore local attitudes: sentiment analysis, n-grams, and hashtags. We also explore hashtag co-occurrence networks as a possible starting point to begin the filtering process. The results show that while sentiment analysis is quick and easy to employ, the results offer little insight into specific local attitudes towards mask-wearing, while examining hashtags and hashtag co-occurrence networks may be used a tool for a more robust understanding of local areas when attempting to gain situational awareness.more » « less