Internet of Things (IoT) provides a wide range of services to improve convenience and comfort in our daily lives. However, various sensors equipped on IoT devices often raise privacy concerns. Prior works on privacy focus on passive protection from the data and device perspective, such as data encryption and communication protocol design. In this work, we introduce PrivaSee, an augmented reality (AR)-enabled privacy visualization platform to empower users with proactive privacy protection by enhancing their understanding of privacy perception for multimodal sensors.

This paper examines fault resilience among citizen-science air quality monitoring networks in California's economically challenged San Joaquin Valley (SJV). We examine disparities in monitoring capabilities and data equity between the SJV and the San Francisco Bay Area. We found significant inequities through experimental analysis simulating sensor failures. Our results emphasize the need for reliable monitoring systems and advanced modeling algorithms in resource-limited areas.