  As the use of interactive AI systems becomes increasingly prevalent in our
daily lives, it is crucial to understand how individuals feel when interacting
with such systems. In this work, we investigate the comfort level of
individuals when interacting with intent-predicting AI systems and identify the
factors of influence. We introduce a study protocol to analyze human
comfortability when interacting with intent-predicting AI systems and execute
the study with over a dozen participants. The study findings suggest that users
are comfortable with AI systems if they have control and their privacy is not
affected. Additionally, the study found that users could differentiate between
AI and human responses, but this did not significantly affect their comfort
levels. This research paper's significance lies in its contribution to the
growing body of literature on interactive AI systems, and it emphasizes the
need to consider user perceptions in the development and deployment.
