Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering |
| Place of Publication | San Francisco, USA |
| Pages | 86-89 |
| Number of pages | 4 |
| Publication status | Published - 2023 |
Publication series
| Name | Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE |
|---|---|
| ISSN (Print) | 2325-9000 |
Abstract
In the context of the ongoing digitalization of society, human values such as privacy, ethics and trust are becoming increasingly important. Digital systems are entering private and professional spaces, which in turn affects the privacy of their end users. Hence, there is a need for conveying privacy information in a transparent and understandable manner, with the user in the focus. Lawmakers introduced privacy policies as a means of communicating privacy information. However, those documents have proven to be practically useless for end users. Privacy policies are long, vague, ambiguous and use complex language, such as legal terms, which often require profound background knowledge. Explainability has shown potential as a means to increase transparency and foster trust in software systems. Based upon the foundation of explainability, we developed a layered concept for user-centered privacy explanations, which is implemented within a high-fidelity software prototype. Finally, we tested and evaluated our concept by conducting an interactive user study with 61 participants. The results of our study suggest that our layered design concept enabled participants to understand the privacy aspects they regarded as important. We conclude that our approach seems to be an appropriate way to communicate complex privacy information to end users.
Keywords
- Privacy, Privacy Explanations, Requirements Engineering, Explainability
ASJC Scopus subject areas
- Computer Science(all)
- Software
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Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering. San Francisco, USA, 2023. p. 86-89 (Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Context, Content, Consent
T2 - How to Design User-Centered Privacy Explanations
AU - Brunotte, Wasja
AU - Droste, Jakob Richard Christian
AU - Schneider, Kurt
N1 - Funding Information: ACKNOWLEDGMENTS 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), and supported under Grant No.: 470146331, project softXplain (2022-2025).
PY - 2023
Y1 - 2023
N2 - In the context of the ongoing digitalization of society, human values such as privacy, ethics and trust are becoming increasingly important. Digital systems are entering private and professional spaces, which in turn affects the privacy of their end users. Hence, there is a need for conveying privacy information in a transparent and understandable manner, with the user in the focus. Lawmakers introduced privacy policies as a means of communicating privacy information. However, those documents have proven to be practically useless for end users. Privacy policies are long, vague, ambiguous and use complex language, such as legal terms, which often require profound background knowledge. Explainability has shown potential as a means to increase transparency and foster trust in software systems. Based upon the foundation of explainability, we developed a layered concept for user-centered privacy explanations, which is implemented within a high-fidelity software prototype. Finally, we tested and evaluated our concept by conducting an interactive user study with 61 participants. The results of our study suggest that our layered design concept enabled participants to understand the privacy aspects they regarded as important. We conclude that our approach seems to be an appropriate way to communicate complex privacy information to end users.
AB - In the context of the ongoing digitalization of society, human values such as privacy, ethics and trust are becoming increasingly important. Digital systems are entering private and professional spaces, which in turn affects the privacy of their end users. Hence, there is a need for conveying privacy information in a transparent and understandable manner, with the user in the focus. Lawmakers introduced privacy policies as a means of communicating privacy information. However, those documents have proven to be practically useless for end users. Privacy policies are long, vague, ambiguous and use complex language, such as legal terms, which often require profound background knowledge. Explainability has shown potential as a means to increase transparency and foster trust in software systems. Based upon the foundation of explainability, we developed a layered concept for user-centered privacy explanations, which is implemented within a high-fidelity software prototype. Finally, we tested and evaluated our concept by conducting an interactive user study with 61 participants. The results of our study suggest that our layered design concept enabled participants to understand the privacy aspects they regarded as important. We conclude that our approach seems to be an appropriate way to communicate complex privacy information to end users.
KW - Privacy
KW - Privacy Explanations
KW - Requirements Engineering
KW - Explainability
UR - http://www.scopus.com/inward/record.url?scp=85170032878&partnerID=8YFLogxK
U2 - 10.18293/SEKE2023-032
DO - 10.18293/SEKE2023-032
M3 - Conference contribution
T3 - Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE
SP - 86
EP - 89
BT - Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering
CY - San Francisco, USA
ER -