Towards Designing Privacy-Compliant Social Robots for Use in Private Households: A Use Case Based Identification of Privacy Implications and Potential Technical Measures for Mitigation

Horstmann B, Diekmann N, Buschmeier H, Hassan T (2020)
In: Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication (Ro-Man 2020). 869–876.

Konferenzbeitrag | Veröffentlicht | Englisch
 
Autor*in
Horstmann, Björn; Diekmann, Niels; Buschmeier, HendrikUniBi ; Hassan, TeenaUniBi
Abstract / Bemerkung
Social robots are expected to increasingly appear in private households. The deployment of social robots in the private spheres of humans raises concerns regarding privacy protection. This paper analyses some of the legal implications of using social robots in private households on the basis of four practical use cases. It identifies the privacy concerns associated with each use case and proposes potential technical measures in the form of an initial concept for a companion privacy-app that could resolve or mitigate these concerns, and thereby enhance privacy compliance. The proposed app concept was evaluated in an exploratory study with ten participants. The preliminary results are encouraging and show that this concept has the potential to support the maintenance of privacy and provide control over the user's personal data and the robot's functions.
Erscheinungsjahr
2020
Titel des Konferenzbandes
Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication (Ro-Man 2020)
Seite(n)
869–876
Konferenz
29th IEEE International Conference on Robot and Human Interactive Communication (Ro-Man 2020)
Konferenzort
Naples, Italy
Konferenzdatum
2020-08-31 – 2020-09-04
Page URI
https://pub.uni-bielefeld.de/record/2944332

Zitieren

Horstmann B, Diekmann N, Buschmeier H, Hassan T. Towards Designing Privacy-Compliant Social Robots for Use in Private Households: A Use Case Based Identification of Privacy Implications and Potential Technical Measures for Mitigation. In: Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication (Ro-Man 2020). 2020: 869–876.
Horstmann, B., Diekmann, N., Buschmeier, H., & Hassan, T. (2020). Towards Designing Privacy-Compliant Social Robots for Use in Private Households: A Use Case Based Identification of Privacy Implications and Potential Technical Measures for Mitigation. Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication (Ro-Man 2020), 869–876. doi:10.1109/RO-MAN47096.2020.9223556
Horstmann, B., Diekmann, N., Buschmeier, H., and Hassan, T. (2020). “Towards Designing Privacy-Compliant Social Robots for Use in Private Households: A Use Case Based Identification of Privacy Implications and Potential Technical Measures for Mitigation” in Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication (Ro-Man 2020) 869–876.
Horstmann, B., et al., 2020. Towards Designing Privacy-Compliant Social Robots for Use in Private Households: A Use Case Based Identification of Privacy Implications and Potential Technical Measures for Mitigation. In Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication (Ro-Man 2020). pp. 869–876.
B. Horstmann, et al., “Towards Designing Privacy-Compliant Social Robots for Use in Private Households: A Use Case Based Identification of Privacy Implications and Potential Technical Measures for Mitigation”, Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication (Ro-Man 2020), 2020, pp.869–876.
Horstmann, B., Diekmann, N., Buschmeier, H., Hassan, T.: Towards Designing Privacy-Compliant Social Robots for Use in Private Households: A Use Case Based Identification of Privacy Implications and Potential Technical Measures for Mitigation. Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication (Ro-Man 2020). p. 869–876. (2020).
Horstmann, Björn, Diekmann, Niels, Buschmeier, Hendrik, and Hassan, Teena. “Towards Designing Privacy-Compliant Social Robots for Use in Private Households: A Use Case Based Identification of Privacy Implications and Potential Technical Measures for Mitigation”. Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication (Ro-Man 2020). 2020. 869–876.
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Volltext(e)
Titel
Towards Designing Privacy-Compliant Social Robots for Use in Private Households: A Use Case Based Identification of Privacy Implications and Potential Technical Measures for Mitigation
Access Level
OA Open Access
Zuletzt Hochgeladen
2020-10-20T18:19:59Z
MD5 Prüfsumme
7fd44323c588d5e221e2c4fb8f4e1fde

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