Eye movements in manual driving

Doctoral thesis (2019)

Authors

P.M. van Leeuwen Biomechatronics & Human-Machine Control - Mechanical, Maritime and Materials Engineering
Research Group
Biomechatronics & Human-Machine Control (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2019 P.M. van Leeuwen
DOI
help_outline
https://doi.org/10.4233/uuid:308b0955-635a-4342-ac36-23e9fead164b
More Info
expand_more

Published Date

2019

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Mechanical, Maritime and Materials Engineering

Department

Biomechanical Engineering

Research Group

Biomechatronics & Human-Machine Control

Abstract

Driving simulators provide researchers with a flexible, controllable, safe, and economical tool for a range of applications. A pivotal aspect in the application of driving simulators is the development of measures aimed at describing the behavior and performance of the driver and providing knowledge about the way drivers are controlling their vehicle, which ultimately will benefit road safety. The driver performance is traditionally described by measures of (simulated) vehicle data and measures of subjective evaluations. This thesis provides additional measures of visual attention and driver physiology aimed at describing the driver behavior. Frequently, these measures are analyzed in isolation of the driver and vehicle performance. This thesis aims to derive relationships between concurrently recorded eye-movement and driver behavior variables in closed-loop driving tasks.