Towards Privacy-Sensitive Human-Robot Interaction: Privacy Terms and Human-Data Interaction in the Personal Robot Era

Anna Chatzimichali, Ross Harrison, Dimitrios Chrysostomou*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

12 Citations (Scopus)

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.
Original languageEnglish
JournalPaladyn: Journal of Behavioral Robotics
Volume12
Issue number1
Pages (from-to)160-174
Number of pages15
ISSN2080-9778
DOIs
Publication statusPublished - 18 Dec 2020

Bibliographical note

Funding Information:
The work reported in this paper is supported by a South West Creative Technology Network Fellowship in Automation and partially supported by EPSRC Grant EP/R033838/1.

Publisher Copyright:
© 2021 Anna Chatzimichali et al., published by De Gruyter 2021.

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

Keywords

  • privacy-sensitive robotics
  • user privacy
  • personal data
  • Human-Robot Interaction
  • human-data interaction

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