The proliferation of Internet of Things (IoT) devices for consumer "smart"
homes raises concerns about user privacy. We present a survey method based on
the Contextual Integrity (CI) privacy framework that can quickly and
efficiently discover privacy norms at scale. We apply the method to discover
privacy norms in the smart home context, surveying 1,731 American adults on
Amazon Mechanical Turk. For 2,800andinlessthansixhours,wemeasuredtheacceptabilityof3,840informationflowsrepresentingacombinatorialspaceofsmarthomedevicessendingconsumerinformationtofirstandthird−partyrecipientsundervariousconditions.OurresultsprovideactionablerecommendationsforIoTdevicemanufacturers,includingdesignbestpracticesandinstructionsforadoptingourmethodforfurtherresearch.