The Privacy-Utility Tradeoff for Remotely Teleoperated Robots

Butler, D. J., Huang, J., Roesner, F., & Cakmak, M. (2015). The Privacy-Utility Tradeoff for Remotely Teleoperated Robots. In ACM/IEEE International Conference on Human-Robot Interaction (HRI) (pp. 27–34).

Abstract

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.

BibTeX Entry

@inproceedings{butler2015hri,
  title = {The Privacy-Utility Tradeoff for Remotely Teleoperated Robots},
  author = {Butler, Daniel J. and Huang, Justin and Roesner, Franziska and Cakmak, Maya},
  booktitle = {ACM/IEEE International Conference on Human-Robot Interaction (HRI)},
  pages = {27--34},
  year = {2015}
}