Modelling the dynamics of driver situation awareness in automated driving

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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 languageEnglish
Title of host publicationAdvances in Human Aspects of Transportation
Subtitle of host publicationProceedings of the AHFE 2017 International Conference on Human Factors in Transportation
EditorsNeville A. Stanton
Place of PublicationCham, Switzerland
PublisherSpringer
Pages643-649
Volume597
ISBN (Electronic)978-3-319-60441-1
ISBN (Print)978-3-319-60440-4
DOIs
Publication statusPublished - 2017
EventAHFE 2017 International Conference on Human Factors in Transportation, 2017 - Los Angeles, United States
Duration: 17 Jul 201721 Jul 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume597
ISSN (Print)21945357

Conference

ConferenceAHFE 2017 International Conference on Human Factors in Transportation, 2017
CountryUnited States
CityLos Angeles
Period17/07/1721/07/17

Keywords

  • Automated driving
  • Monitoring/control transition
  • Situation awareness
  • Visual attention

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