Take-Over Request in Highly Automated Driving: A Survey on Driving Experience and Emergency Operation Accuracy

Abstract

An essential question in highly automated is how to aid drivers to make safe transitions between manual and automated control. We surveyed 1122 people about the driving experience and public opinions of a highly automated vehicle. Determined whether driving state and frequency would provide a significant difference in the accuracy of TOR, investigated the effects of different secondary tasks in driving on driver’s takeover control performance in HAV. The survey showed that there is no correlation between the state of driving and the probability of making mistakes in an emergency. Besides, we need to take into account the instant communication between the driver and the system because the leading cause of stress in driving is anxiety about traffic accidents and concerns about insufficient traffic information.

Publication
In International Symposium on Affective Science and Engineering
Han "Sammy" Zhang
Han "Sammy" Zhang
PhD Student

As a user-centered researcher with industrial design and Kansei design experiences, I would like to assist Human-Vehicle interaction in innovating through framing insights and exploring solutions.

Ji Wang
Ji Wang
PhD Student

Standing on the crossroad of academy and industry.

SeungHee Lee
SeungHee Lee
Associate Professor of Kansei Design

Designing happiness for everyone, borderless use concerning Global Kansei.