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Which Privacy and Security Attributes Most Impact Consumers’ Risk Perception and Willingness to Purchase IoT Devices?

机译:哪种隐私和安全属性大多数影响消费者的风险感知和购买物联网设备的意愿?

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In prior work, researchers proposed an Internet of Things (IoT) security and privacy label akin to a food nutrition label, based on input from experts. We conducted a survey with 1,371 Mechanical Turk (MTurk) participants to test the effectiveness of each of the privacy and security attribute-value pairs proposed in that prior work along two key dimensions: ability to convey risk to consumers and impact on their willingness to purchase an IoT device. We found that the values intended to communicate increased risk were generally perceived that way by participants. For example, we found that consumers perceived more risk when a label conveyed that data would be sold to third parties than when it would not be sold at all, and that consumers were more willing to purchase devices when they knew that their data would not be retained or shared with others. However, participants’ risk perception did not always align with their willingness to purchase, sometimes due to usability concerns. Based on our findings, we propose actionable recommendations on how to more effectively present privacy and security attributes on an IoT label to better communicate risk to consumers.
机译:在现有工作中,研究人员提出了一种基于专家的投入的食物营养标签的事物(物联网)安全和隐私标签。我们用1,371个机械土耳其(MTURK)参与者进行了一项调查,以测试每个隐私和安全属性 - 价值对的有效性,提出的,沿着两个关键维度的工作:能够向消费者传达风险,并对他们购买意愿产生影响一个物联网设备。我们发现旨在传达增加风险的值通常会被参与者视为那种方式。例如,我们发现消费者当一个标签传达时,消费者会感知更多的风险,而这些数据将被卖给第三方,而不是根本销售,而且消费者更愿意在他们知道他们的数据时购买设备保留或与他人分享。然而,参与者的风险感知并不总是与他们的购买意愿保持一致,有时由于可用性问题。根据我们的调查结果,我们提出了有关如何更有效地在物联网标签上更有效地呈现隐私和安全属性的可行建议,以更好地向消费者传达风险。

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