A Data-Driven Approach to Designing for Privacy in Household IoT
A Data-Driven Approach to Designing for Privacy in Household IoT
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DOI：
10.1145/3241378
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发表时间：
2019-09
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影响因子：
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通讯作者：
Yangyang He;Paritosh Bahirat;Bart P. Knijnenburg;A. Menon
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文献类型：
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作者：
Yangyang He;Paritosh Bahirat;Bart P. Knijnenburg;A. Menon
在本文中，我们扩展并改进了以前开发的数据驱动的方法，以设计为家庭IoT设备的用户设计隐私界面。允许我们创建一种导航结构，该导航结构可促进用户在表达其隐私偏好方面的效率，并开发一系列允许的“隐私配置文件”用户通过单击一个按钮来表达一组复杂的隐私首选项，我们通过向接口设计进行更复杂的统计结果翻译，并通过广泛讨论和分析用户模型的简单和分析的权衡。开发隐私配置文件和默认设置的准确性。
In this article, we extend and improve upon a previously developed data-driven approach to design privacy-setting interfaces for users of household IoT devices. The essence of this approach is to gather users’ feedback on household IoT scenarios before developing the interface, which allows us to create a navigational structure that preemptively maximizes users’ efficiency in expressing their privacy preferences, and develop a series of ‘privacy profiles’ that allow users to express a complex set of privacy preferences with the single click of a button. We expand upon the existing approach by proposing a more sophisticated translation of statistical results into interface design, and by extensively discussing and analyzing the tradeoff between user-model parsimony and accuracy in developing privacy profiles and default settings.