Towards Understanding User Privacy Concerns of Internet of Things Sensor Data

Despite the wide adoption of Internet of Things (IoT) devices in people's lives, their privacy implications remain unclear to many users. Privacy policies are used as the major mechanism to deliver this information, and tools are developed to assist users to interpret these policies, there is still a gap between users' perceived privacy and the actual privacy risks they face. Especially for various indirect sensing modalities, where users' comprehension and concerns about their privacy are unknown. We present PrivacyVis, a novel visualization tool that provide an informative and expressive visual representation of the sensors, data processing workflows, and associated privacy risks of IoT devices. Designed to be user-friendly, the tool aims to enhance users' understanding and empower them to make informed decisions about their privacy. PrivacyVis allows us to conduct efficient user surveys to understand user concerns and perceived privacy for IoT devices.