Driver’s information needs in automated driving

Abstract

The purpose of this paper is to study the drivers’ information needs in automated driving. Virtual reality and simulation techniques were used to simulate the automated driving in different scenarios, and drivers need to fill in the information needs assessment questionnaires after completing the task. In automated driving, the eye tracker recorded the fixation behavior. The experimental results showed that, regardless of whether drivers focused on automated driving system or not, it is necessary for the system to feedback some general information to the driver, such as vehicle-related information (such as the current speed, blind spots), road-related information (such as the surrounding traffic, condition around, etc.), the auxiliary system state (on or off) and the ability of the auxiliary system to process the current scene etc.