Personal identifiability of user tracking data during observation of 360-degree VR video.

Personal identifiability of user tracking data during observation of 360-degree VR video.
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DOI:
10.1038/s41598-020-74486-y
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发表时间:
2020-10-15
期刊:
影响因子:
4.6
通讯作者:
Bailenson JN
Bailenson JN
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Miller MR;Herrera F;Jun H;Landay JA;Bailenson JN

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虚拟现实(VR)是一种在消费市场上越来越受欢迎的技术。随之而来的是前所未有的跟踪身体运动的能力。这些身体运动是个人身份、医疗状况和精神状态的诊断。以前的工作集中在身体运动的可识别性在理想化的情况下,一些行动是由研究设计者选择。相比之下,我们的工作测试用户在典型的VR观看环境下的可识别性,没有专门设计的识别任务。在511名参与者中,该系统在每人不到5分钟的跟踪数据培训中正确识别了95%的用户。我们认为这些结果表明,非语言数据应该被公众和研究人员理解为个人识别数据。
Virtual reality (VR) is a technology that is gaining traction in the consumer market. With it comes an unprecedented ability to track body motions. These body motions are diagnostic of personal identity, medical conditions, and mental states. Previous work has focused on the identifiability of body motions in idealized situations in which some action is chosen by the study designer. In contrast, our work tests the identifiability of users under typical VR viewing circumstances, with no specially designed identifying task. Out of a pool of 511 participants, the system identifies 95% of users correctly when trained on less than 5 min of tracking data per person. We argue these results show nonverbal data should be understood by the public and by researchers as personally identifying data.
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