Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2022 IEEE/ACM Joint 16th International Conferenceon Software and System Processes and 17th ACM/IEEE International Conference on Global Software Engineering, ICSSP/ICGSE 2022 |
| Subtitle of host publication | ICSSP'22 |
| Place of Publication | Pittsburgh, PA, USA |
| Pages | 56–65 |
| Number of pages | 10 |
| ISBN (electronic) | 9781450396745 |
| Publication status | Published - 19 May 2022 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|
Abstract
Software systems have become an integral part of our daily lives. However, users tend to forget that they are not only consuming information, but also delivering personal information to service providers. This data collection means that users' privacy sphere is increasingly at stake. Informing users about what and how data is collected is pivotal for reaching transparency, trustworthiness, and ethics in modern systems. The main purpose of privacy policies is to inform users about what happens to their personal data. But instead they are extensive and purposefully obfuscating. Information about data practices are hidden in long and ambiguous text passages. To mitigate this, in this paper, we present a concept implemented as a web extension to support the end-user in dealing with privacy policies by providing easier access and visual explanations to privacy-related information. We evaluated the usefulness of our tool in a user study with 65 participants. The results show that our approach helps users to find a privacy policy faster and also supports users to better comprehend the relevant information. Our tool is a first step towards facilitating to deal with privacy policies from the end-user perspective. The results of the study and the positive feedback from the participants show a high degree of acceptance and potential for the tool to increase users' privacy awareness.
Keywords
- Privacy Policy, Explainability, Privacy, Privacy Awareness, Visual Explanations, privacy, visual explanations, privacy policy, privacy awareness
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Computer Science(all)
- Human-Computer Interaction
- Computer Science(all)
- Computer Vision and Pattern Recognition
- Computer Science(all)
- Computer Networks and Communications
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Proceedings - 2022 IEEE/ACM Joint 16th International Conferenceon Software and System Processes and 17th ACM/IEEE International Conference on Global Software Engineering, ICSSP/ICGSE 2022: ICSSP'22. Pittsburgh, PA, USA, 2022. p. 56–65 (ACM International Conference Proceeding Series).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - What About My Privacy? Helping Users Understand Online Privacy Policies
AU - Brunotte, Wasja
AU - Chazette, Larissa
AU - Köhler, Lukas
AU - Klünder, Jil Ann-Christin
AU - Schneider, Kurt
N1 - Funding Information: This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy within the Cluster of Excellence PhoenixD (EXC 2122, Project ID 390833453). This work was also supported by the research initiative Mobilise between the Technical University of Braunschweig and Leibniz University Hannover, funded by the Ministry for Science and Culture of Lower Saxony.
PY - 2022/5/19
Y1 - 2022/5/19
N2 - Software systems have become an integral part of our daily lives. However, users tend to forget that they are not only consuming information, but also delivering personal information to service providers. This data collection means that users' privacy sphere is increasingly at stake. Informing users about what and how data is collected is pivotal for reaching transparency, trustworthiness, and ethics in modern systems. The main purpose of privacy policies is to inform users about what happens to their personal data. But instead they are extensive and purposefully obfuscating. Information about data practices are hidden in long and ambiguous text passages. To mitigate this, in this paper, we present a concept implemented as a web extension to support the end-user in dealing with privacy policies by providing easier access and visual explanations to privacy-related information. We evaluated the usefulness of our tool in a user study with 65 participants. The results show that our approach helps users to find a privacy policy faster and also supports users to better comprehend the relevant information. Our tool is a first step towards facilitating to deal with privacy policies from the end-user perspective. The results of the study and the positive feedback from the participants show a high degree of acceptance and potential for the tool to increase users' privacy awareness.
AB - Software systems have become an integral part of our daily lives. However, users tend to forget that they are not only consuming information, but also delivering personal information to service providers. This data collection means that users' privacy sphere is increasingly at stake. Informing users about what and how data is collected is pivotal for reaching transparency, trustworthiness, and ethics in modern systems. The main purpose of privacy policies is to inform users about what happens to their personal data. But instead they are extensive and purposefully obfuscating. Information about data practices are hidden in long and ambiguous text passages. To mitigate this, in this paper, we present a concept implemented as a web extension to support the end-user in dealing with privacy policies by providing easier access and visual explanations to privacy-related information. We evaluated the usefulness of our tool in a user study with 65 participants. The results show that our approach helps users to find a privacy policy faster and also supports users to better comprehend the relevant information. Our tool is a first step towards facilitating to deal with privacy policies from the end-user perspective. The results of the study and the positive feedback from the participants show a high degree of acceptance and potential for the tool to increase users' privacy awareness.
KW - Privacy Policy
KW - Explainability
KW - Privacy
KW - Privacy Awareness
KW - Visual Explanations
KW - privacy
KW - visual explanations
KW - privacy policy
KW - privacy awareness
UR - http://www.scopus.com/inward/record.url?scp=85130770752&partnerID=8YFLogxK
U2 - 10.1145/3529320.3529327
DO - 10.1145/3529320.3529327
M3 - Conference contribution
T3 - ACM International Conference Proceeding Series
SP - 56
EP - 65
BT - Proceedings - 2022 IEEE/ACM Joint 16th International Conferenceon Software and System Processes and 17th ACM/IEEE International Conference on Global Software Engineering, ICSSP/ICGSE 2022
CY - Pittsburgh, PA, USA
ER -