  As autonomous vehicles have benefited the society, understanding the dynamic
change of humans' trust during human-autonomous vehicle interaction can help to
improve the safety and performance of autonomous driving. We designed and
conducted a human subjects study involving 19 participants. Each participant
was asked to enter their trust level in a Likert scale in real-time during
experiments on a driving simulator. We also collected physiological data (e.g.,
heart rate, pupil size) of participants as complementary indicators of trust.
We used analysis of variance (ANOVA) and Signal Temporal Logic (STL) to analyze
the experimental data. Our results show the influence of different factors
(e.g., automation alarms, weather conditions) on trust, and the individual
variability in human reaction time and trust change.
