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The Privacy-Utility Tradeoff for Remotely Teleoperated Robots

机译:遥远的遥禁机器人的隐私式权衡

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Though teleoperated robots have become common for more extreme tasks such as bomb diffusion, search-and-rescue, and space exploration, they are not commonly used in human-populated environments for more ordinary tasks such as house cleaning or cooking. This presents near-term opportunities for teleoperated robots in the home. However, a teleoperator's remote presence in a consumer's home presents serious security and privacy risks, and the concerns of end-users about these risks may hinder the adoption of such in-home robots. In this paper, we define and explore the privacy-utility tradeoff for remotely teleoperated robots: as we reduce the quantity or fidelity of visual information received by the teleoperator to preserve the end-user's privacy, we must balance this against the teleoperator's need for sufficient information to successfully carry out tasks. We explore this tradeoff with two surveys that provide a framework for understanding the privacy attitudes of end-users, and with a user study that empirically examines the effect of different filters of visual information on the ability of a teleoperator to carry out a task. Our findings include that respondents do desire privacy protective measures from teleoperators, that respondents prefer certain visual filters from a privacy perspective, and that, for the studied task, we can identify a filter that balances privacy with utility. We make recommendations for in-home teleoperation based on these findings.
机译:虽然龙眼手术机器人对于更加极端的任务(如炸弹扩散,搜救和空间勘探)变得普遍,但它们不常用于人口流满的环境中,以获得更多常规任务,如房屋清洁或烹饪。这提出了家庭中洞穴机器人的近期机会。然而,漫游家在消费者家中的遥控器中存在严重的安全和隐私风险,以及最终用户对这些风险的担忧可能会阻碍这种家居机器人的采用。在本文中,我们定义和探索了遥控机器人的隐私 - 实用权概论:因为我们减少了漫游者收到的视觉信息的衡量,以保留最终用户的隐私,我们必须平衡琐事的需求足够的需求信息要成功执行任务。我们探讨了两个调查,提供了两个调查,提供了一个理解最终用户的隐私态度的框架,并通过用户学习,经验检查视觉信息不同过滤器对漫游者进行任务的能力的影响。我们的调查结果包括受访者渴望隐私保护措施从漫游者中,受访者更喜欢从隐私的角度来看某些视觉过滤器,并且对于学习的任务,我们可以识别与实用程序平衡隐私的过滤器。我们根据这些调查结果提出了家庭内部耳机的建议。

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