Exploring the Needs of Users for Supporting Privacy-Protective Behaviors in Smart Homes

Exploring the Needs of Users for Supporting Privacy-Protective Behaviors in Smart Homes
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探索用户支持智能家居隐私保护行为的需求

DOI:
10.1145/3491102.3517602
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发表时间:
2022
期刊:
SIGCHI Conference: Human Factors in Computing Systems
影响因子:
--
通讯作者:
Hong, Jason I.
Hong, Jason I.
中科院分区:
--
文献类型:
--
作者:
Jin, Haojian;Guo, Boyuan;Roychoudhury, Rituparna;Yao, Yaxing;Kumar, Swarun;Agarwal, Yuvraj;Hong, Jason I.

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在本文中,我们研究了人们的智能家居隐私保护行为(SH-PPBs),以更好地了解他们在这种情况下的隐私管理行为。我们首先调查了159名参与者,并引出了33种独特的SH-PPB实践,揭示了用户在物理层严重依赖临时方法(例如,物理阻塞、手动断电)。我们还描述了用户希望通过SH-PPB解决的隐私问题的类型,阻止用户执行SH-PPB的原因,以及他们希望必须支持SH-PPB的隐私功能。然后,我们对11个隐私保护概念进行了故事板,以探索更好地支持用户需求的机会,并要求另外227名参与者对这些设计概念进行评论和排名。在这11个概念中,隐私诊断,类似于反病毒软件中的安全诊断,远比其他概念更受欢迎。我们还见证了设计SH-PPB工具的四个重要因素的丰富证据,因为用户更喜欢(1)简单,(2)主动,(3)预防性解决方案,可以(4)提供更多的控制。
In this paper, we studied people’s smart home privacy-protective behaviors (SH-PPBs), to gain a better understanding of their privacy management do’s and don’ts in this context. We first surveyed 159 participants and elicited 33 unique SH-PPB practices, revealing that users heavily rely on ad hoc approaches at the physical layer (e.g., physical blocking, manual powering off). We also characterized the types of privacy concerns users wanted to address through SH-PPBs, the reasons preventing users from doing SH-PPBs, and privacy features they wished they had to support SH-PPBs. We then storyboarded 11 privacy protection concepts to explore opportunities to better support users’ needs, and asked another 227 participants to criticize and rank these design concepts. Among the 11 concepts, Privacy Diagnostics, which is similar to security diagnostics in anti-virus software, was far preferred over the rest. We also witnessed rich evidence of four important factors in designing SH-PPB tools, as users prefer (1) simple, (2) proactive, (3) preventative solutions that can (4) offer more control.
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