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
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This content will become publicly available on July 1, 2024
P3: A Privacy-Preserving Perception Framework for Building Vehicle-Edge Perception Networks Protecting Data Privacy
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Groups, teams, and collectives —people—are incredibly important to human behavior. People live in families, work in teams, and celebrate and mourn together in groups. Despite the huge variety of human group activity and its fundamental importance to human life, social-psychological research on person perception has overwhelmingly focused on its namesake, the person, rather than expanding to consider people perception. By looking to two unexpected partners, the vision sciences and organization behavior, we find emerging work that presents a path forward, building a foundation for understanding how people perceive other people. And yet this nascent field is missing critical insights that scholars of social vision might offer: specifically, for example, the chance to connect perception to behavior through the mediators of cognition and motivational processes. Here, we review emerging work across the vision and social sciences to extract core principles of people perception: efficiency, capacity, and complexity. We then consider complexity in more detail, focusing on how people perception modifies person-perception processes and enables the perception of group emergent properties as well as group dynamics. Finally, we use these principles to discuss findings and outline areas fruitful for future work. We hope that fellow scholars take up this people-perception call.more » « less