Can Machine Learning Help keep your Smart Home Privacy in Check?
March 18, 2021
Smart Home devices like smart lights, thermostats, and doorbells are gaining popularity because of the connected and automated experience they render to their users. This user experience is made possible by collecting and processing data about end-user behaviors. As this data is deemed sensitive and intimate, users tend to demand fine-grained control over their privacy preferences. But are users equipped to exert such a detailed level of control over their Smart Home devices?
HATLab researchers Dr. Bart P. Knijnenburg, Ph.D. student Paritosh Bahirat and Dr. Yangyang He (Alumnus) joined hands with Dr. Martijn Willemsen and Dr. Qizhang (Kevin) Sun from TU Eindhoven's (Netherlands) Process Tracing Lab to answer this very question.
