A first look into users’ perceptions of facial recognition in the physical world
A first look into users’ perceptions of facial recognition in the physical world
复制标题
初步了解用户对现实世界中面部识别的看法
DOI：
10.1016/j.cose.2021.102227
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发表时间：
2021
影响因子：
5.6
通讯作者：
Wright, Matthew
中科院分区：
文献类型：
--
作者：
Seng, Sovantharith;Al-Ameen, Mahdi Nasrullah;Wright, Matthew
人脸识别(FR)技术正被用于私人和公共领域，原因很多，从确保物理安全到提供个性化购物体验。然而，目前还不清楚用户如何看待这项新兴技术的有用性、风险和舒适性。我们开始在这篇论文中解决这些问题。特别是，我们在Amazon Machine Turk上对314名参与者进行了一项基于Vignette的研究，以调查他们在物理世界中对面部识别的感知，基于八种不同FR使用环境下的35个场景。我们发现，用户对FR的采用并没有一个二元的答案。相反，他们的感知植根于将应用FR的特定环境中。参与者考虑了广泛的因素，包括对面部数据的控制、FR的效用、使用FR的组织的可信度，以及FR使用的位置和环境以将相应的隐私风险置于背景中。他们在报告自己的看法时，将隐私风险与FR使用的可用性、安全性和经济效益进行了权衡。参与者还指出了他们对面部识别感知背后的原因和理性，这让我们能够深入分析他们在各种场景中使用这项技术所感受到的好处、担忧和舒适度。通过第一次系统地了解用户对物理世界中面部识别的感知，我们揭示了FR采用和用户担忧之间的紧张关系。综上所述，我们的发现具有广泛的影响，通过用户的视角促进隐私和安全社区对FR的理解，在那里我们为这些方向的未来研究提供了指导方针。
Facial recognition (FR) technology is being adopted in both private and public spheres for a wide range of reasons, from ensuring physical safety to providing personalized shopping experiences. It is not clear yet, though, how users perceive this emerging technology in terms of usefulness, risks, and comfort. We begin to address these questions in this paper. In particular, we conducted a vignette-based study with 314 participants on Amazon Mechanical Turk to investigate their perceptions of facial recognition in the physical world, based on thirty-five scenarios across eight different contexts of FR use. We found that users do not have a binary answer towards FR adoption. Rather, their perceptions are grounded in the specific contexts in which FR will be applied. The participants considered a broad range of factors, including control over facial data, the utility of FR, the trustworthiness of organizations using FR, and the location and surroundings of FR use to place the corresponding privacy risks in context. They weighed the privacy risks with the usability, security, and economic gain of FR use as they reported their perceptions. Participants also noted the reasons and rationals behind their perceptions of facial recognition, which let us conduct an in-depth analysis of their perceived benefits, concerns, and comfort with using this technology in various scenarios. Through this first systematic look into users’ perceptions of facial recognition in the physical world, we shed light on the tension between FR adoption and users’ concerns. Taken together, our findings have broad implications that advance the Privacy and Security community’s understanding of FR through the lens of users, where we presented guidelines for future research in these directions.