TY - GEN
T1 - Privacy apps for smartphones
T2 - 2nd International Conference on HCI for Cybersecurity, Privacy and Trust, HCI-CPT 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
AU - Sharma, Tanusree
AU - Bashir, Masooda
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - Smartphones are becoming our most trusted computing devices for storing and dealing with highly sensitive information which makes smartphones an essential platform to take under control utilizing privacy-preserving applications (apps). There exists a variety of privacy preserving apps on the mobile platform which claims to offer a potential way for people to protect data on their mobile phone. However, there has been no systematic study of these apps and what features and functionalities they offer or what may contribute to their under-utilization by mobile users. In this study, we analyzed the general functionalities of iOS privacy preserving apps by examining features designed to support user engagement and their privacy preserving functionalities. In addition, we examined user experiences, through a thematic analysis of publicly available user reviews of sampled apps. Our findings provide insight from users’ reviews and their usability challenges in use of these privacy apps as well as the fundamental privacy features they are seeking. We believe these findings will guide privacy application developers in building appropriate functionalities that is more realistic and relevant to mobile users’ daily life. In addition, this study provides the preliminary steps towards a comprehensive and actionable privacy tools/architecture for mobile phones that is human centered.
AB - Smartphones are becoming our most trusted computing devices for storing and dealing with highly sensitive information which makes smartphones an essential platform to take under control utilizing privacy-preserving applications (apps). There exists a variety of privacy preserving apps on the mobile platform which claims to offer a potential way for people to protect data on their mobile phone. However, there has been no systematic study of these apps and what features and functionalities they offer or what may contribute to their under-utilization by mobile users. In this study, we analyzed the general functionalities of iOS privacy preserving apps by examining features designed to support user engagement and their privacy preserving functionalities. In addition, we examined user experiences, through a thematic analysis of publicly available user reviews of sampled apps. Our findings provide insight from users’ reviews and their usability challenges in use of these privacy apps as well as the fundamental privacy features they are seeking. We believe these findings will guide privacy application developers in building appropriate functionalities that is more realistic and relevant to mobile users’ daily life. In addition, this study provides the preliminary steps towards a comprehensive and actionable privacy tools/architecture for mobile phones that is human centered.
UR - https://www.scopus.com/pages/publications/85088748342
UR - https://www.scopus.com/pages/publications/85088748342#tab=citedBy
U2 - 10.1007/978-3-030-50309-3_35
DO - 10.1007/978-3-030-50309-3_35
M3 - Conference contribution
AN - SCOPUS:85088748342
SN - 9783030503086
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 533
EP - 546
BT - HCI for Cybersecurity, Privacy and Trust - 2nd International Conference, HCI-CPT 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings
A2 - Moallem, Abbas
PB - Springer
Y2 - 19 July 2020 through 24 July 2020
ER -