The rise of self-driving cars (SDCs) promises enhanced safety and convenience. However, these advancements introduce new challenges, particularly in the transitions between autonomous and manual control. Our research addresses these challenges by investigating human reactions during emergency takeover scenarios. To do this we build on previous research on the pitfalls of takeovers and handovers. Additionally, we employed the Psychological Value Theory (PVT) to analyze the effects of the perceived value of different decisions on the reactions of our participants. Our experimental design included dynamic scenarios that extend the static questionnaires used to study PVT in the past. Contrary to PVT's predictions, our results did not show a relationship between reaction time and psychological value but did exhibit a significant interaction between psychological value and participants' decisions on whom to sacrifice, as well as their gaze patterns during these decisions. These findings reinforce the applicability of PVT in dynamic environments.

Recommended Citation: Moran K., Saeidi H., Layman L., Stoker G., Cohen D., (2024). Dynamic Modeling of the Human-Autonomy Collaboration in Advanced Driver-Assisted Systems (ADAS). UNCW MS CSIS Proceedings. V. 18 , N. 12 .