TY - GEN
T1 - The differences in data sensitivity perceptions among private and workplace health apps
T2 - 9th International Conference on Digital Public Health, DPH 2019
AU - Billmann, Maren
AU - Boehm, Markus
AU - Grossklags, Jens
AU - Krcmar, Helmut
N1 - Publisher Copyright:
© 2019 Copyright is held by the owner/author(s). Publication rights licensed to ACM.
PY - 2019/11/20
Y1 - 2019/11/20
N2 - Data are crucial for tailoring health apps to personal needs. Nonetheless, a users' privacy and security need to be preserved, particularly since health technologies are able to gather a broad range of data over a long time period. In order to guarantee an appropriate level of security and privacy, the perceptions of end users need to be evaluated to enhance adoption of the technologies. In this paper, we conduct a Delphi study to gain insights into the perception of certain data elements used in popular health apps. As health apps are now commonly used both privately and at the workplace, both are compared in this study. As input for the Delphi study, an exploratory market analysis has been utilized. Our work reveals a mismatch between the perception of sensitivity of data and the usage rate of common health apps. Additionally, variations have been identified between the private and corporate health context, providing implications for both practice and theory.
AB - Data are crucial for tailoring health apps to personal needs. Nonetheless, a users' privacy and security need to be preserved, particularly since health technologies are able to gather a broad range of data over a long time period. In order to guarantee an appropriate level of security and privacy, the perceptions of end users need to be evaluated to enhance adoption of the technologies. In this paper, we conduct a Delphi study to gain insights into the perception of certain data elements used in popular health apps. As health apps are now commonly used both privately and at the workplace, both are compared in this study. As input for the Delphi study, an exploratory market analysis has been utilized. Our work reveals a mismatch between the perception of sensitivity of data and the usage rate of common health apps. Additionally, variations have been identified between the private and corporate health context, providing implications for both practice and theory.
KW - Delphi study
KW - MHealth
KW - Perceived data sensitivity
KW - Workplace health
UR - http://www.scopus.com/inward/record.url?scp=85076608943&partnerID=8YFLogxK
U2 - 10.1145/3357729.3357741
DO - 10.1145/3357729.3357741
M3 - Conference contribution
AN - SCOPUS:85076608943
T3 - ACM International Conference Proceeding Series
SP - 21
EP - 30
BT - DPH 2019 - Proceedings of the 9th International Conference on Digital Public Health
PB - Association for Computing Machinery
Y2 - 20 November 2019 through 23 November 2019
ER -