Abstract
As automated driving technology advances, the driver’s role continues to shift from active vehicle control to passive monitoring of the automated driving system and environment. This study comprised three experiments on controlled test tracks in mixed traffic that investigated driver interactions with prototype Level 2 and Level 3 partially automated driving systems. The study investigated which human-machine interface (HMI) characteristics are most effective at issuing a Take-Over Request (TOR) during the operation of a Level 2 automated driving system, how to prompt drivers to attend to the road when distracted during the operation of a Level 2 automated driving system (and whether these prompts are effective over time), and which HMI characteristics are most effective at issuing a TOR during the operation of a Level 3 automated driving system. In addition, participants’ trust in the automated driving system they experienced was gauged through multiple Likert-type surveys and an after-experience interview.
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Reference
Blanco M, Atwood J, Vasquez HM, Trimble TE, Fitchett VL, Radlbeck J, Morgan JF Human factors evaluation of level 2 and level 3 automated driving concepts. Report No. DOT HS 812 182. Washington, DC, National Highway Traffic Safety Administration
Acknowledgments
This study was funded by the National Highway Traffic Safety Administration and the Intelligent Transportation Systems Joint Program Office. General Motors and Google served as partners on this project.
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© 2016 Springer International Publishing Switzerland
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Blanco, M. et al. (2016). Automated Vehicles: Take-Over Request and System Prompt Evaluation. In: Meyer, G., Beiker, S. (eds) Road Vehicle Automation 3. Lecture Notes in Mobility. Springer, Cham. https://doi.org/10.1007/978-3-319-40503-2_9
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DOI: https://doi.org/10.1007/978-3-319-40503-2_9
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-40503-2
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