This course explores the impact of privacy and security attributes on consumers' risk perception and willingness to purchase IoT devices. The learning outcomes include understanding factors influencing risk perception, recognizing attributes affecting consumer behavior, and gaining insights into effective communication strategies. The course teaches skills such as analyzing consumer behavior, evaluating privacy and security attributes, and enhancing risk communication. The teaching method involves presenting a study task, selecting relevant factors, and discussing misconceptions and effective labeling strategies. The intended audience for this course includes researchers, marketers, policymakers, and anyone interested in consumer behavior, privacy, and security in IoT devices.
Which Privacy and Security Attributes Most Impact Consumers' Risk Perception and Willingness to Purchase IoT Devices
Overview
Syllabus
Intro
Perceived risk and willingness to purchase
Presented study task
We selected a subset of the label factors
We chose attributes with concrete values
Higher risk perception for smart speaker
Device recipient did not impact the risk perception
Insufficient Information for Average Time to Patch
Lack of Trust for the purpose of Data Collection
Misconception: "Patch" indicates less security
Expanded view for additional information
Label is an effective way to inform consumers
Taught by
IEEE Symposium on Security and Privacy
