Latest revision as of 01:17, 2 February 2021

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 document

The different versions of the original document can be found in:

• https://repository.tudelft.nl/islandora/object/uuid%3A217c92e8-35a2-483f-a119-3258c911f24f/datastream/OBJ/download

• http://dx.doi.org/10.1007/978-3-319-60441-1_62,

http://resolver.tudelft.nl/uuid:217c92e8-35a2-483f-a119-3258c911f24f

• http://link.springer.com/content/pdf/10.1007/978-3-319-60441-1_62,

http://dx.doi.org/10.1007/978-3-319-60441-1_62 under the license http://www.springer.com/tdm

• https://link.springer.com/chapter/10.1007%2F978-3-319-60441-1_62,

https://www.narcis.nl/publication/RecordID/oai%3Atudelft.nl%3Auuid%3A217c92e8-35a2-483f-a119-3258c911f24f,

https://rd.springer.com/chapter/10.1007/978-3-319-60441-1_62,

https://academic.microsoft.com/#/detail/2689556064