首页> 外文期刊>Paladyn: Journal of Behavioral Robotics >Toward privacy-sensitive human–robot interaction: Privacy terms and human–data interaction in the personal robot era
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Toward privacy-sensitive human–robot interaction: Privacy terms and human–data interaction in the personal robot era

机译:朝着隐私敏感的人机互动:个人机器人时代的隐私术语和人类数据互动

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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.
机译:我们可以有个人机器人而不赠送个人数据吗?此外,机器人隐私政策在该问题中的作用是什么?这项工作通过通过隐私政策和条款和条件和条款和条件和条款和条件和条款和条件和条件和条件和条件的信息镜头探讨了消费者机器人的背景下的第一次隐私。在人机关系的范围内讨论隐私,个人和非个人数据,同时我们试图绘制与与个性化,信任和透明度相关的尺寸的连接。我们介绍了一种新的方法,以评估“管理隐私和跨境流动保护的经济合作和发展准则”的方式如何反映了消费机器人领域的公开隐私政策和条款和条件。我们在八种消费者机器人公司接近隐私原则之间借鉴了比较。目前的调查结果表明了隐私术语结构和背景下的重大偏差。讨论了改善上下文和隐私项格式的一些实用尺寸。这项工作的最终目标是提高关于机器人公司使用的各种隐私战略的认识,而最终创造了将这些信息更加相关和用户可以使用的可用方式。

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