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Article published In:
Social Cues in Robot Interaction, Trust and Acceptance
Edited by Alessandra Rossi, Kheng Lee Koay, Silvia Moros, Patrick Holthaus and Marcus Scheunemann
[Interaction Studies 20:3] 2019
► pp. 509–529

Privacy-centered design for social robots

| Ostfalia University of Applied Sciences
| Ostfalia University of Applied Sciences
| Ostfalia University of Applied Sciences
Social robots as companions play an increasingly important role in our everyday life. However, reaching the full potential of social robots and the interaction between humans and robots requires permanent collection and processing of personal data of users, e.g. video and audio data for image and speech recognition. In order to foster user acceptance, trust and to address legal requirements as the General Data Protection Regulation of the EU, privacy needs to be integrated in the design process of social robots. The Privacy by Design approach by Cavoukian indicates the relevance of a privacy-respecting development and outlines seven abstract principle.
In this paper two methods as a hands-on guideline to fulfill the principles are presented and discussed in the content of the Privacy by Design approach. Privacy risks of a typical robot scenario are identified, analyzed and solutions are proposed on the basis of the seven types of privacy and the privacy protection goals.
Keywords: privacy, social robots, robot design, privacy by design, trust, privacy protection goals, participatory design
Article outline
  • Introduction
  • Related work
  • Methodology
    • Risk identification – seven types of privacy
    • Risk analysis – privacy protection goals
    • Risk mitigation
  • Use case
    • Risk identification
    • Risk analysis
    • Risk mitigation
  • Discussion
  • Future work
  • Acknowledgements
  • Notes
  • References
Published online: 18 November 2019
DOI logo
https://doi.org/10.1075/is.18063.heu
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