Video Manipulation Techniques for the Protection of Privacy in Remote Presence Systems

Video Manipulation Techniques for the Protection of Privacy in Remote Presence Systems
复制标题

用于保护远程呈现系统隐私的视频处理技术

DOI:
--
复制
发表时间:
2015
期刊:
IEEE/ACM International Conference on Human-Robot Interaction
影响因子:
--
通讯作者:
W. Smart
W. Smart
中科院分区:
--
文献类型:
--
作者:
Alexander Hubers;Emily Andrulis;L. Scott;Tanner Stirrat;D. Tran;Ruonan Zhang;Ross T. Sowell;C. Grimm;W. Smart

文献摘要

被引文献

相似文献

将移动的机器人的控制权交给远程用户的系统引起了关于远程用户可以通过机器人看到什么和做什么的隐私问题。我们的目标是通过操纵远程用户看到的视频数据来保护一些隐私。通过两项用户研究,我们探讨了不同的视频处理技术在提供不同类型的隐私的有效性。我们同时检查任务的性能存在的隐私保护。在第一项研究中,参与者被要求观看机器人在办公室环境中拍摄的视频,并在不同的视频操作条件下完成一系列观察任务。我们的研究结果表明,使用视频流的操作可以导致不同的隐私类型的隐私侵犯较少。通过第二次用户研究,证明了这些隐私保护技术是有效的,而不会降低远程用户的任务性能。
Systems that give control of a mobile robot to a remote user raise privacy concerns about what the remote user can see and do through the robot. We aim to preserve some of that privacy by manipulating the video data that the remote user sees. Through two user studies, we explore the effectiveness of different video manipulation techniques at providing different types of privacy. We simultaneously examine task performance in the presence of privacy protection. In the first study, participants were asked to watch a video captured by a robot exploring an office environment and to complete a series of observational tasks under differing video manipulation conditions. Our results show that using manipulations of the video stream can lead to fewer privacy violations for different privacy types. Through a second user study, it was demonstrated that these privacy-protecting techniques were effective without diminishing the task performance of the remote user.