The Human and Machine Intelligence research group hosts Lu Feng (Computer Science) speaking on Trust on Autonomous Driving.
Abstract: We are witnessing accelerating technological advances in autonomous vehicles. As the degree of autonomy of vehicles increases and the nature of human-autonomy interactions becomes more complex, key questions that need to be asked are how to ensure safety and trust in human-autonomous vehicle interactions? On the one hand, high-profile incidents such as the fatal Tesla crash and Uber accident make clear the risks from “overtrust” or over-reliance on autonomous vehicles. On the other hand, “undertrust” may cause the neglect or under-utilization of automation. We need to advance our understanding of the role of trust within human-autonomous vehicle interactions. In this talk, I will introduce results from our recent experimental study involving 19 participants on a high-fidelity driving simulator. Our preliminary 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.