Machine learning (ML) experiments also revealed that individuals overall privacy awareness is the most important feature when predicting their privacy decisions. Statistical analysis on the collected data confirmed that people who are well aware of potential privacy risks in a scenario tend to make more conservative and confident privacy decisions. To gain deeper insights into this question, we conducted an online study ( $N=488$) of people's privacy decision-making as well as their levels of privacy awareness toward diverse IoT service scenarios. However, there is a lack of empirical research on the practical implications of informed privacy decision-making in IoT. Researchers are building Internet of Things (IoT) systems that aim to raise users’ privacy awareness, so that these users can make informed privacy decisions.
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