危机中的隐私:大流行期间参与者对健康和营销数据的隐私偏好

Laura Calloway, Hilda Hadan, S. Gopavaram, Shrirang Mare, L. Camp
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引用次数: 2

摘要

COVID-19的严重程度和追踪接触者的必要性使得调查关于隐私重要性的两种相互排斥的说法变得更加紧迫。一些技术倡导者声称,面对大流行,隐私不再是一个问题,这种说法已被反复报道;而另一些人则主张其中心地位。接触者追踪应用被拒绝的部分原因是隐私,这也被广泛报道过。同时,不同的跟踪应用实现了不同的隐私概念。对于任何接触追踪应用程序的功能,该技术必须提供可用且可接受的安全和隐私实现。为了实现这一目标,我们试图更好地了解在公共卫生危机期间对数据使用的风险认知。为此,我们进行了一项主题间在线调查,以确定参与者对在公共卫生危机期间收集和共享其数据的风险感知。调查结果并不支持之前的研究中提出的观点,即人们在公共卫生危机期间愿意分享自己的私人信息;而是根据信息类型、使用目的和接收者提供细致入微的回应,从而具体化以前的工作,而不是提出根本的区别。我们注意到,无论数据是用于解决健康风险还是用于传统营销,参与者对隐私风险的看法都是相似的。最后,我们的研究结果表明,在设计与参与者的隐私感知一致的跟踪应用程序时,应该考虑设备类型,而不仅仅是数据类型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Privacy in Crisis: Participants' Privacy Preferences for Health and Marketing Data during a Pandemic
The severity of COVID-19 and the need for contact tracing has resulted in new urgency for investigating two mutually exclusive narratives about the importance of privacy. The assertion by some technology advocates that privacy is no longer an issue in the face of a pandemic has been repeatedly reported; while others advocated for its centrality. The rejection of contact tracing apps, in part because of privacy, has also been widely reported. Simultaneously, different tracing apps implement different conceptions of privacy. For any contact tracing app to function the technology must provide security and privacy implementations that are usable and acceptable. Towards that goal, we sought to better understand risk perceptions about data use during a public health crisis. To do this we conducted a between-subject online survey to identify participants' risk perceptions about their data being collected and shared during a public health crisis. The survey results do not support claims in prior work that people are comfortable with sharing their private information during a public health crisis; but instead offered nuanced responses depending on type of information, purpose of use, and recipient, thus reifying previous work rather than suggesting a fundamental difference. We note that participants' privacy risk perceptions remain similar whether data are to be used to address health risks or for traditional marketing. Finally, our findings show that device type, not just data type, should be taken into account when designing a tracing app that aligns with participants' privacy perceptions.
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