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Toward privacy-sensitive human–robot interaction: Privacy terms and human–data interaction in the personal robot era

Authors
  • Chatzimichali, Anna1
  • Harrison, Ross2
  • Chrysostomou, Dimitrios3
  • 1 Department of Architecture and the Built Environment, University of West of England Frenchay Campus, Coldharbour Ln, Stoke Gifford, BS16 1QY , (United Kingdom)
  • 2 Department of Engineering Mathematics, University of West of England Frenchay Campus, Coldharbour Ln, Stoke Gifford, BS16 1QY , (United Kingdom)
  • 3 Robotics and Automation Group, Department of Materials and Production Aalborg University, Fibigerstraede 16, DK 9220 , (Denmark)
Type
Published Article
Journal
Paladyn, Journal of Behavioral Robotics
Publisher
De Gruyter
Publication Date
Dec 18, 2020
Volume
12
Issue
1
Pages
160–174
Identifiers
DOI: 10.1515/pjbr-2021-0013
Source
De Gruyter
Keywords
Disciplines
  • Research Article
License
Green

Abstract

Can we have personal robots without giving away personal data? Besides, what is the role of a robots Privacy Policy in that question? This work explores for the first time privacy in the context of consumer robotics through the lens of information communicated to users through Privacy Policies and Terms and Conditions. Privacy, personal and non-personal data are discussed under the light of the human–robot relationship, while we attempt to draw connections to dimensions related to personalization, trust, and transparency. We introduce a novel methodology to assess how the “Organization for Economic Cooperation and Development Guidelines Governing the Protection of Privacy and Trans-Border Flows of Personal Data” are reflected upon the publicly available Privacy Policies and Terms and Conditions in the consumer robotics field. We draw comparisons between the ways eight consumer robotic companies approach privacy principles. Current findings demonstrate significant deviations in the structure and context of privacy terms. Some practical dimensions in terms of improving the context and the format of privacy terms are discussed. The ultimate goal of this work is to raise awareness regarding the various privacy strategies used by robot companies while ultimately creating a usable way to make this information more relevant and accessible to users.

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