Human Factors of Transitions in Automated Driving

Zhenji Lu

Research output: ThesisDissertation (TU Delft)

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In the last decades, advanced driver-assistance systems have contributed to improved road safety. With the recent advance of technology, automotive automation is taking more and more tasks away from the driver. Although automation removes human imprecision and variability, it also introduces out-of-the-loop problems such as complacency, skill degradation, mental underload, mental overload, and loss of situation awareness. Additionally, the rising levels of automation have contributed to an increasingly complex interaction between the automation and the driver, where driver and automation may have to change roles while driving. The objective of this PhD thesis is to understand what types of ‘transitions’ occur between the automation and the driver, how drivers process visual information to rebuild situation awareness and make decisions during these transitions, and how to make the transitions from automation to human safer and more acceptable for the driver...
Original languageEnglish
Awarding Institution
  • Delft University of Technology
  • de Winter, J.C.F., Supervisor
  • Happee, R., Supervisor
Award date17 Apr 2020
Publication statusPublished - 2020


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