Modelling the dynamics of driver situation awareness in automated driving

Zhenji Lu; Riender Happee; Joost de Winter

doi:10.1007/978-3-319-60441-1_62

Modelling the dynamics of driver situation awareness in automated driving

Zhenji Lu^*, Riender Happee, Joost de Winter

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

38 Downloads (Pure)

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.

Original language	English
Title of host publication	Advances in Human Aspects of Transportation
Subtitle of host publication	Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation
Editors	Neville A. Stanton
Place of Publication	Cham, Switzerland
Publisher	Springer
Pages	643-649
Volume	597
ISBN (Electronic)	978-3-319-60441-1
ISBN (Print)	978-3-319-60440-4
DOIs	https://doi.org/10.1007/978-3-319-60441-1_62
Publication status	Published - 2017
Event	AHFE 2017 International Conference on Human Factors in Transportation, 2017 - Los Angeles, United States Duration: 17 Jul 2017 → 21 Jul 2017

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	597
ISSN (Print)	21945357

Conference

Conference	AHFE 2017 International Conference on Human Factors in Transportation, 2017
Country/Territory	United States
City	Los Angeles
Period	17/07/17 → 21/07/17

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.

Keywords

Automated driving
Monitoring/control transition
Situation awareness
Visual attention

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10.1007/978-3-319-60441-1_62

Lu2018_Chapter_ModellingTheDynamicsOfDriverSiFinal published version, 507 KB

Cite this

Lu, Z., Happee, R., & de Winter, J. (2017). Modelling the dynamics of driver situation awareness in automated driving. In N. A. Stanton (Ed.), Advances in Human Aspects of Transportation : Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation (Vol. 597, pp. 643-649). (Advances in Intelligent Systems and Computing; Vol. 597). Springer. https://doi.org/10.1007/978-3-319-60441-1_62

Lu, Zhenji ; Happee, Riender ; de Winter, Joost. / Modelling the dynamics of driver situation awareness in automated driving. Advances in Human Aspects of Transportation : Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation. editor / Neville A. Stanton. Vol. 597 Cham, Switzerland : Springer, 2017. pp. 643-649 (Advances in Intelligent Systems and Computing).

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title = "Modelling the dynamics of driver situation awareness in automated driving",

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 {\textquoteleft}number of fixations per second{\textquoteright} is suggested for real-time monitoring of situation awareness in automated driving.",

keywords = "Automated driving, Monitoring/control transition, Situation awareness, Visual attention",

author = "Zhenji Lu and Riender Happee and {de Winter}, Joost",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – 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.; AHFE 2017 International Conference on Human Factors in Transportation, 2017 ; Conference date: 17-07-2017 Through 21-07-2017",

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doi = "10.1007/978-3-319-60441-1_62",

language = "English",

isbn = "978-3-319-60440-4",

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series = "Advances in Intelligent Systems and Computing",

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Lu, Z, Happee, R & de Winter, J 2017, Modelling the dynamics of driver situation awareness in automated driving. in NA Stanton (ed.), Advances in Human Aspects of Transportation : Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation. vol. 597, Advances in Intelligent Systems and Computing, vol. 597, Springer, Cham, Switzerland, pp. 643-649, AHFE 2017 International Conference on Human Factors in Transportation, 2017, Los Angeles, United States, 17/07/17. https://doi.org/10.1007/978-3-319-60441-1_62

Modelling the dynamics of driver situation awareness in automated driving. / Lu, Zhenji; Happee, Riender ; de Winter, Joost.
Advances in Human Aspects of Transportation : Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation. ed. / Neville A. Stanton. Vol. 597 Cham, Switzerland: Springer, 2017. p. 643-649 (Advances in Intelligent Systems and Computing; Vol. 597).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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N1 - 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.

PY - 2017

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AB - 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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KW - Monitoring/control transition

KW - Situation awareness

KW - Visual attention

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Lu Z, Happee R , de Winter J. Modelling the dynamics of driver situation awareness in automated driving. In Stanton NA, editor, Advances in Human Aspects of Transportation : Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation. Vol. 597. Cham, Switzerland: Springer. 2017. p. 643-649. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-60441-1_62

Modelling the dynamics of driver situation awareness in automated driving

Abstract

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Keywords

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