Context, Content, Consent: How to Design User-Centered Privacy Explanations

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OriginalspracheEnglisch
Titel des SammelwerksProceedings of the 35th International Conference on Software Engineering and Knowledge Engineering
ErscheinungsortSan Francisco, USA
Seiten86-89
Seitenumfang4
PublikationsstatusVeröffentlicht - 2023

Publikationsreihe

NameProceedings 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.

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Context, Content, Consent: How to Design User-Centered Privacy Explanations. / Brunotte, Wasja; Droste, Jakob Richard Christian; Schneider, Kurt.
Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering. San Francisco, USA, 2023. S. 86-89 (Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Brunotte, W, Droste, JRC & Schneider, K 2023, Context, Content, Consent: How to Design User-Centered Privacy Explanations. in Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering. Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE, San Francisco, USA, S. 86-89. https://doi.org/10.18293/SEKE2023-032
Brunotte, W., Droste, J. R. C., & Schneider, K. (2023). Context, Content, Consent: How to Design User-Centered Privacy Explanations. In Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering (S. 86-89). (Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE).. https://doi.org/10.18293/SEKE2023-032
Brunotte W, Droste JRC, Schneider K. Context, Content, Consent: How to Design User-Centered Privacy Explanations. in Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering. San Francisco, USA. 2023. S. 86-89. (Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE). doi: 10.18293/SEKE2023-032
Brunotte, Wasja ; Droste, Jakob Richard Christian ; Schneider, Kurt. / Context, Content, Consent : How to Design User-Centered Privacy Explanations. Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering. San Francisco, USA, 2023. S. 86-89 (Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE).
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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.",
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