Key Jung Lee

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The current study (N = 49) took a user-centered approach to explore how level of automation (pedal automated, wheel automated or fully automated driving) and the interface modality (switching automation on or off via touch or voice control) in automated vehicles influence drivers' perceived experience and performance. The results found that full or wheel(More)
With automated driving systems, drivers may still be expected to resume full control of the vehicle. While structured transitions where drivers are given warning are desirable, it is critical to benchmark how drivers perform when transition of control is unstructured and occurs without advanced warning. In this study, we observed how participants (N=27) in(More)
In future automated driving systems, drivers will be free to perform other secondary tasks, not needing to stay vigilant in monitoring the car's activity. However, there will still be situations in which drivers are required to take-over control of the vehicle, most likely from a highly distracted state. While highly automated vehicles would ideally(More)
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