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The proliferation of Internet of Things (IoT) devices for consumer "smart"homes raises concerns about user privacy. We present a survey method based onthe Contextual Integrity (CI) privacy framework that can quickly andefficiently discover privacy norms at scale. We apply the method to discoverprivacy norms in the smart home context, surveying 1,731 American adults onAmazon Mechanical Turk. For $2,800 and in less than six hours, we measured theacceptability of 3,840 information flows representing a combinatorial space ofsmart home devices sending consumer information to first and third-partyrecipients under various conditions. Our results provide actionablerecommendations for IoT device manufacturers, including design best practicesand instructions for adopting our method for further research.

Discovering Smart Home Internet of Things Privacy Norms Using Contextual Integrity