TY - GEN
T1 - Understanding users' risk perceptions about personal health records shared on social networking services
AU - Son, Yuri
AU - Cho, Geumhwan
AU - Kim, Hyoungshick
AU - Woo, Simon
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/7/2
Y1 - 2019/7/2
N2 - To understand users' risk perceptions about sharing their PHR on SNS, we first conducted a qualitative user study by interviewing 16 participants. Next, we conducted a large-scale online user study with 497 participants in the U.S. to validate our qualitative results from the first study. Our study results show that a majority of users do not showstrong motivation of sharing PHR on SNS due to several concerns such as misuse/abuse and security issues of shared PHR. In particular, participants are highly concerned about sharing diseases and diagnostic test results than other types of PHRs (e.g., details of hospital visits and medical interviews). However, we found about 55.13% of the participants have the experiences of sharing their health-related information on SNS. Also, we learned that users' sharing behavior for disease data can be significantly influenced by the severity/type of the disease as well as preferred recipients. Based on our findings, we propose a recommendation method to automatically determine whether users' posts can be shared with everyone on SNS by analyzing the keywords frequently occurred in health-related posts. Our implementation using Random Forest achieved an F-measure of 87.4%, indicating that PHR can be restrictively shared with high accuracy, when sharing health-related posts on SNS.
AB - To understand users' risk perceptions about sharing their PHR on SNS, we first conducted a qualitative user study by interviewing 16 participants. Next, we conducted a large-scale online user study with 497 participants in the U.S. to validate our qualitative results from the first study. Our study results show that a majority of users do not showstrong motivation of sharing PHR on SNS due to several concerns such as misuse/abuse and security issues of shared PHR. In particular, participants are highly concerned about sharing diseases and diagnostic test results than other types of PHRs (e.g., details of hospital visits and medical interviews). However, we found about 55.13% of the participants have the experiences of sharing their health-related information on SNS. Also, we learned that users' sharing behavior for disease data can be significantly influenced by the severity/type of the disease as well as preferred recipients. Based on our findings, we propose a recommendation method to automatically determine whether users' posts can be shared with everyone on SNS by analyzing the keywords frequently occurred in health-related posts. Our implementation using Random Forest achieved an F-measure of 87.4%, indicating that PHR can be restrictively shared with high accuracy, when sharing health-related posts on SNS.
KW - Personal Health Record
KW - Social Networking Service
KW - User Privacy
UR - https://www.scopus.com/pages/publications/85069956977
U2 - 10.1145/3321705.3329838
DO - 10.1145/3321705.3329838
M3 - Conference contribution
AN - SCOPUS:85069956977
T3 - AsiaCCS 2019 - Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security
SP - 352
EP - 365
BT - AsiaCCS 2019 - Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security
PB - Association for Computing Machinery, Inc
T2 - 2019 ACM Asia Conference on Computer and Communications Security, AsiaCCS 2019
Y2 - 9 July 2019 through 12 July 2019
ER -