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Modelling the dynamics of driver situation awareness in automated driving

Conference Paper (2017)
Author(s)

Z. Lu (TU Delft - Intelligent Vehicles)

R. Happee (TU Delft - Intelligent Vehicles)

J.C.F. Winter (TU Delft - Biomechatronics & Human-Machine Control)

Research Group
Intelligent Vehicles
Copyright
© 2017 Z. Lu, R. Happee, J.C.F. de Winter
DOI related publication
https://doi.org/10.1007/978-3-319-60441-1_62
More Info
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Publication Year
2017
Language
English
Copyright
© 2017 Z. Lu, R. Happee, J.C.F. de Winter
Research Group
Intelligent Vehicles
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Volume number
597
Pages (from-to)
643-649
ISBN (print)
978-3-319-60440-4
ISBN (electronic)
978-3-319-60441-1
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.

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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