Designing and Validating a Blockchain-based Architecture to Enforce Privacy in Human Robot Interaction
Files
Date
2021-01-05
Contributor
Advisor
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Narrator
Transcriber
Annotator
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
566
Ending Page
Alternative Title
Abstract
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.
Description
Keywords
Human‒Robot Interactions, eos blockchain, healthcare, human robot interaction, integrity, privacy, rfid, social robot
Citation
Extent
10 pages
Format
Geographic Location
Time Period
Related To
Proceedings of the 54th Hawaii International Conference on System Sciences
Related To (URI)
Table of Contents
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
Local Contexts
Collections
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.