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Privacy Aware Robotics

Leigh Levinson, Manuel Dietrich, Alan Sarkisian, Selma Šabanović, William D. Smart

发表年份
2024
引用次数
3

摘要

As robots become increasingly active around human environments, they must navigate both physical and social realms, necessitating awareness of their surroundings and inhabitants, including the potential collection of sensitive data. To be accepted in human spaces, they need to be trusted to handle personal information adequately, not only adhering to security and data protection standards, but also aligning with contextual norms, individual expectations, and domain-specific requirements. Challenges intensify when robots engage with multiple humans across varied contexts over extended periods. Drawing from psychology, sociology, ethics, and law, and the experience of participants, we seek to outline dimensions and prerequisites for privacy-awareness in HRI. In this workshop we want to discuss methodologies, user interfaces, and personalizing options, and AI reasoning to design privacy-aware robot behavior in the human-robot interaction community.

关键词

RobotComputer scienceDomain (mathematical analysis)RoboticsHuman–computer interactionInternet privacyHuman–robot interactionInformation privacyArtificial intelligence

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