基于机器人辅助的智能环境下隐私感知系统设计

Ilche Georgievski, Isaac Henderson Johnson Jeyakumar, Shrilesh Kale
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引用次数: 2

摘要

物联网(IoT)的广泛使用带来了商业和个人环境中的隐私问题。物联网设备收集并共享有关其集成环境的数据,以及有关在此类环境中执行活动的人员的数据。数据可能无意中传播到预期的或规定的上下文之外,例如商务会议。安全使用物联网设备的代价是严格的隐私法规和增加的复杂性。因此,智能环境提出了新的工程和隐私挑战,需要新颖的工具。在本文中,我们提出了一种基于机器人辅助的系统架构设计,以提高人们对隐私政策的认识。由于我们的系统在设计时考虑了模块化,它为用户提供了使用一组可控和负责任的规则来设计隐私策略的灵活性,它支持软件和硬件选择方面的异构性,并且它允许扩展新功能。我们在商务会议的背景下使用半人形机器人在原型中实现了所建议的系统设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing a System Based on Robotic Assistance for Privacy Awareness in Smart Environments
The widespread use of the Internet of Things (IoT) has brought up the issue of privacy in both business and personal settings. IoT devices collect and share data about the environment in which they are integrated and about people involved in activities performed in such an environment. The data can be unintentionally propagated outside of the intended or prescribed context, such as a business meeting. Enabling the safe use of IoT devices comes at the cost of strict privacy regulations and increased complexity. Therefore, smart environments pose new engineering and privacy challenges that require novel tools. In the present paper, we propose a system architecture design based on robotic assistance for raising the awareness of people about privacy policies. As our system is designed with modularity in mind, it gives the flexibility to users to design privacy policies using a controllable and accountable set of rules, it supports heterogeneity in terms of software and hardware choices, and it enables expansion with new functionalities. We implement the proposed system design in a prototype using a semi-humanoid robot in the context of business meetings.
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