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

被引:11
|
作者
Chatzimichali, Anna [1 ]
Harrison, Ross [2 ]
Chrysostomou, Dimitrios [3 ]
机构
[1] Department of Architecture and the Built Environment, University of West of England, Frenchay Campus, Coldharbour Ln, Stoke Gifford, Bristol,BS16 1QY, United Kingdom
[2] Department of Engineering Mathematics, University of West of England, Frenchay Campus, Coldharbour Ln, Stoke Gifford, Bristol,BS16 1QY, United Kingdom
[3] Robotics and Automation Group, Department of Materials and Production, Aalborg University, Fibigerstraede 16, Aalborg East,DK 9220, Denmark
来源
Paladyn | 2021年 / 12卷 / 01期
基金
英国工程与自然科学研究理事会;
关键词
Consumer protection - Man machine systems - Sensitive data;
D O I
10.1515/pjbr-2021-0013
中图分类号
学科分类号
摘要
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 Dataare 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. © 2021 Anna Chatzimichali et al., published by De Gruyter 2021.
引用
收藏
页码:160 / 174
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