Modelling the dynamics of driver situation awareness in automated driving

Conference paper (2017)

Authors

Z. Lu Intelligent Vehicles - Mechanical, Maritime and Materials Engineering
R. Happee Intelligent Vehicles - Mechanical, Maritime and Materials Engineering
J.C.F. de Winter Biomechatronics & Human-Machine Control - Mechanical, Maritime and Materials Engineering
Research Group
Intelligent Vehicles (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2017 Z. Lu, R. Happee, J.C.F. de Winter
DOI: https://doi.org/10.1007/978-3-319-60441-1_62
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Published Date

2017

Language

English

Reuse Rights

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Cognitive Robotics

Research Group

Intelligent Vehicles

Abstract

This study presents a numerical model that describes the dynamic process of building situation awareness after an automation-initiated transition. The model predicts the level of situation awareness as a function of elapsed time since the transition, and is verified using data from an experiment in which participants watched animated video clips of automated driving scenarios. Additionally, the ‘number of fixations per second’ is suggested for real-time monitoring of situation awareness in automated driving.

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