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Situational Awareness in the Context of Automated Driving - Adapting the Situational Awareness Global Assessment Technique

Schwindt, Sarah ; Graevenitz, Paula von ; Abendroth, Bettina (2023)
Situational Awareness in the Context of Automated Driving - Adapting the Situational Awareness Global Assessment Technique.
In: Human Factors in Transportation, 2023, 95
doi: 10.26083/tuprints-00026343
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Situational Awareness in the Context of Automated Driving - Adapting the Situational Awareness Global Assessment Technique
Language: English
Date: 21 November 2023
Place of Publication: Darmstadt
Year of primary publication: 2023
Publisher: AHFE Open Access
Journal or Publication Title: Human Factors in Transportation
Volume of the journal: 95
Collation: 11 Seiten
Event Title: AHFE International Conference on Physical Ergonomics and Human Factors
Event Location: San Francisco, USA
Event Dates: 20.07.2023-24.07.2023
DOI: 10.26083/tuprints-00026343
Corresponding Links:
Origin: Secondary publication service
Abstract:

Automated vehicles offer the opportunity to disengage from the driving task, though in SAE Level 3 vehicles a Take-Over Request (TOR) can occur at any time. In this case, the driver must quickly assess the situation and completely take over the driving task. In order for the driver to be able to do this safely, the rapid development of sufficient situational awareness is of particular importance. To investigate how this can be supported, it is necessary to find a sufficiently accurate method for measuring situational awareness in the context of automated driving. The Situation Awareness Global Assessment Technique (SAGAT) provides an objective, direct method for measuring all three levels of situation awareness. However, in previous applications of the method, the relevance of the information measured by the SAGAT method was not taken into account. The aim of this paper is therefore to first identify suitable SAGAT questions by means of a literature review and then to assess the relevance of the information asked for the safe takeover of vehicle control by an online questionnaire (n = 78). Subsequently, a study in a driving simulator (n = 32) will test whether a weighted evaluation of the SAGAT questions according to the classification by the online questionnaire can further optimize the method for measuring situation awareness.

Uncontrolled Keywords: Situation Awareness, Situation Awareness Global Assessment Technique, Automated Driving SAE Level 3, Take, Over Request
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-263432
Classification DDC: 300 Social sciences > 380 Commerce, communications, transportation
Divisions: 16 Department of Mechanical Engineering > Ergonomics (IAD)
Date Deposited: 21 Nov 2023 08:09
Last Modified: 13 Dec 2023 10:09
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/26343
PPN: 513991964
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