Designing and Validating a Blockchain-based Architecture to Enforce Privacy in Human Robot Interaction

Vasylkovskyi, Viktor
Guerreiro, Sérgio
Sequeira, João
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Social Robots (SR) can record large streams of raw data in the form of images, audio, RFID, among other sensory sources, which could be instrumental for enforcing Human-robot interactions (HRI). However, the emotional bonds between humans and SR can raise the problem of an SR accessing/inferring deeply private information, e.g., emotional states. Therefore, from the point of view of privacy, SR may be a liability. Clarifying ownership of data collected by robots has been highlighted a concern in the EU General Data Protection Regulation, which requires 'privacy-by-design'. With this problem in mind, we present BlockRobot - a Blockchain(BC)-based Architecture to enforce privacy in HRI. This architecture provides users with an identity management system for private data generated during HRI. The architecture explores the benefits of the RFID detection mechanism and Blockchain immutability property integrated with robotic events. Blockchain grants confidentiality, integrity, and non-repudiation of data transparently and fairly to every user. As proof of concept, we demonstrate the initial implementation of a Decentralized Application (dApp) based on EOS Blockchain integrated with robotic events that contain private data. This paper details the experiments conducted with a SR in a non-lab environment.
Human‒Robot Interactions, eos blockchain, healthcare, human robot interaction, integrity, privacy, rfid, social robot
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