Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2021 IEEE 29th International Requirements Engineering Conference Workshops (REW) |
| Herausgeber/-innen | Tao Yue, Mehdi Mirakhorli |
| Seiten | 176-180 |
| Seitenumfang | 5 |
| ISBN (elektronisch) | 9781665418980 |
| Publikationsstatus | Veröffentlicht - 2021 |
| Veranstaltung | 2021 IEEE 29th International Requirements Engineering Conference Workshops (REW) - Virtual, Notre Dame, USA / Vereinigte Staaten Dauer: 20 Sept. 2021 → 24 Sept. 2021 Konferenznummer: 29 |
Publikationsreihe
| Name | Proceedings of the IEEE International Conference on Requirements Engineering |
|---|---|
| Band | 2021-September |
| ISSN (Print) | 1090-705X |
| ISSN (elektronisch) | 2332-6441 |
Abstract
Using systems as support tools for decision-making is a common part of a citizen's daily life. Systems support users in various tasks, collecting and processing data to learn about a user and provide more tailor-made services. This data collection, however, means that users' privacy sphere is increasingly at stake. Informing the user about what data is collected and how it is processed is key to reaching transparency, trustworthiness, and ethics in modern systems. While laws and regulations have come into existence to inform the user about privacy terms, this information is still conveyed in a complex and verbose way to the user, making it unintelligible to them. Meanwhile, explainability is seen as a way to disclose information about a system or its behavior in an intelligible manner. In this work, we propose explanations as a means to enhance users' privacy awareness. As a long-term goal, we want to understand how to achieve more privacy awareness with respect to systems and develop heuristics that support it, helping end-users to protect their privacy. We present preliminary results on private sphere explanations and present our research agenda towards our long-term goal.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Informatik (insg.)
- Betriebswirtschaft, Management und Rechnungswesen (insg.)
- Strategie und Management
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
2021 IEEE 29th International Requirements Engineering Conference Workshops (REW). Hrsg. / Tao Yue; Mehdi Mirakhorli. 2021. S. 176-180 (Proceedings of the IEEE International Conference on Requirements Engineering; Band 2021-September).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Can Explanations Support Privacy Awareness? A Research Roadmap
AU - Brunotte, Wasja
AU - Chazette, Larissa
AU - Korte, Kai
N1 - Conference code: 29
PY - 2021
Y1 - 2021
N2 - Using systems as support tools for decision-making is a common part of a citizen's daily life. Systems support users in various tasks, collecting and processing data to learn about a user and provide more tailor-made services. This data collection, however, means that users' privacy sphere is increasingly at stake. Informing the user about what data is collected and how it is processed is key to reaching transparency, trustworthiness, and ethics in modern systems. While laws and regulations have come into existence to inform the user about privacy terms, this information is still conveyed in a complex and verbose way to the user, making it unintelligible to them. Meanwhile, explainability is seen as a way to disclose information about a system or its behavior in an intelligible manner. In this work, we propose explanations as a means to enhance users' privacy awareness. As a long-term goal, we want to understand how to achieve more privacy awareness with respect to systems and develop heuristics that support it, helping end-users to protect their privacy. We present preliminary results on private sphere explanations and present our research agenda towards our long-term goal.
AB - Using systems as support tools for decision-making is a common part of a citizen's daily life. Systems support users in various tasks, collecting and processing data to learn about a user and provide more tailor-made services. This data collection, however, means that users' privacy sphere is increasingly at stake. Informing the user about what data is collected and how it is processed is key to reaching transparency, trustworthiness, and ethics in modern systems. While laws and regulations have come into existence to inform the user about privacy terms, this information is still conveyed in a complex and verbose way to the user, making it unintelligible to them. Meanwhile, explainability is seen as a way to disclose information about a system or its behavior in an intelligible manner. In this work, we propose explanations as a means to enhance users' privacy awareness. As a long-term goal, we want to understand how to achieve more privacy awareness with respect to systems and develop heuristics that support it, helping end-users to protect their privacy. We present preliminary results on private sphere explanations and present our research agenda towards our long-term goal.
KW - Explainability
KW - Privacy
KW - Privacy Awareness
KW - Privacy Policy
KW - App Reviews
UR - http://www.scopus.com/inward/record.url?scp=85118430777&partnerID=8YFLogxK
U2 - 10.1109/REW53955.2021.00032
DO - 10.1109/REW53955.2021.00032
M3 - Conference contribution
SN - 978-1-6654-1899-7
T3 - Proceedings of the IEEE International Conference on Requirements Engineering
SP - 176
EP - 180
BT - 2021 IEEE 29th International Requirements Engineering Conference Workshops (REW)
A2 - Yue, Tao
A2 - Mirakhorli, Mehdi
T2 - 29th IEEE International Requirements Engineering Conference Workshops, REW 2021
Y2 - 20 September 2021 through 24 September 2021
ER -