Adaptive automation: automatically (dis)engaging automation during visually distracted driving.

ABSTRACT:

Background

Automated driving is often proposed as a solution to human errors. However, fully automated driving has not yet reached the point where it can be implemented in real traffic. This study focused on adaptively allocating steering control either to the driver or to an automated pilot based on momentary driver distraction measured from an eye tracker.

Methods

Participants (N = 31) steered a simulated vehicle with a fixed speed, and at specific moments were required to perform a visual secondary task (i.e., changing a CD). Three conditions were tested: (1) Manual driving (Manual), in which participants steered themselves. (2) An automated backup (Backup) condition, consisting of manual steering except during periods of visual distraction, where the driver was ba

SUBMITTER: Cabrall CDD 

PROVIDER: S-EPMC7924721 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature