HMI Design for Autonomous Cars: Investigating on Driver's Attention Distribution

This paper provides an overview of the predictable possibilities and opportunities of autonomous human-computer interaction design offered by studying the driver's attention distribution. We examined attention distribution from novice to advanced drivers and a visual experiment was conducted using stickers and camera to both quantify and qualify attention while participants were in a simulation auto-driving scenario. Thus, an consciousness hot-map could be determined by stickers' distribution and eye-tracking data, which could contribute to interface design and its structure in autonomous driving vehicles.