Me and My Robot - Sharing Information with a New Friend

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.

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Privacy-centered design for social robots

Heuer

Schiering

Gerndt

2019

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Privacy framework for context-aware robot development

Heuer

Schiering

Gerndt

2021

Paladyn, Journal of Behavioral Robotics

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Privacy is an essential topic in (social) robotics and becomes even more important when considering interactive and autonomous robots within the domestic environment. Robots will collect a lot of personal and sensitive information about the users and their environment. Thereby, privacy does consider the topic of (cyber-)security and the protection of information against misuse by involved service providers. So far, the main focus relies on theoretical concepts to propose privacy principles for robots. This article provides a privacy framework as a feasible approach to consider security and privacy issues as a basis. Thereby, the proposed privacy framework is put in the context of a user-centered design approach to highlight the correlation between the design process steps and the steps of the privacy framework. Furthermore, this article introduces feasible privacy methodologies for privacy-enhancing development to simplify the risk assessment and meet the privacy principles. Even though user participation plays an essential role in robot development, this is not the focus of this article. Even though user participation plays an essential role in robot development, this is not the focus of this article. The employed privacy methodologies are showcased in a use case of a robot as an interaction partner contrasting two different use case scenarios to encourage the importance of context awareness.

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Me and My Robot - Sharing Information with a New Friend

Cited by 2 publications

References 22 publications

Privacy-centered design for social robots

Privacy-centered design for social robots

Privacy framework for context-aware robot development

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