Occupant monitoring in automated vehicles: Classification of situation awareness based on head movements while cornering

Frederik Schewe, Hao Cheng, Alexander Hafner, Monika Sester, Mark Vollrath

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)
2 Downloads (Pure)

Abstract

We tested whether head-movements under automated driving can be used to classify a vehicle occupant as either situation-aware or unaware. While manually cornering, an active driver ́s head tilt correlates with the road angle which serves as a visual reference, whereas an inactive passenger ́s head follows the g-forces. Transferred to partial/conditional automation, the question arises whether aware occupant ́s head-movements are comparable to drivers and if this can be used for classification. Ina driving-simulator-study (n=43, within-subject design), four scenarios were used to generate or deteriorate situation awareness (manipulation checked). Recurrent neural networks weretrained with the resulting head-movements. Inference statistics were used to extract the discriminating feature, ensuring explainability. A very accurate classification was achieved and the mean side rotation-rate was identified as the most differentiating factor. Aware occupants behave more like drivers. Therefore, head-movements can be used to classify situation awareness in experimental settings but also in real driving.
Original languageEnglish
Title of host publicationProceedings of the Human Factors and Ergonomics Society Annual Meeting
PublisherTaylor & Francis
Pages2078-2082
Number of pages5
Volume63
DOIs
Publication statusPublished - 2019
Externally publishedYes
EventHuman Factors and Ergonomics Society Annual Meeting, HFES 2019 - Sheraton Grand Seattle, Seattle, United States
Duration: 28 Oct 20191 Nov 2019
https://techsage.gatech.edu/human-factors-and-ergonomics-society-hfes-2019

Conference

ConferenceHuman Factors and Ergonomics Society Annual Meeting, HFES 2019
Abbreviated titleHFES
Country/TerritoryUnited States
CitySeattle
Period28/10/191/11/19
Internet address

Keywords

  • ITC-CV

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