An Adaptive and Personalized In-Vehicle Human-Machine-Interface for an Improved User Experience

What’s on your mind? A Mental and Perceptual Load Estimation Framework towards Adaptive In-vehicle Interaction while Driving

“…We mimic the driver's interaction with the vehicle's interface while driving through the auditory n-back task and the visual search task, which are equivalent to a speech-based and a touch-based interaction respectively. While our work focuses on this general dual task approach of manipulating an interface while driving, it is also applicable to more specific applications such as transfer-of-control scenarios for automated and semi-automated vehicles [79]; simplified interfaces, or personalized warnings for mentally exhausting situations [88]; and increasing the user's trust through system awareness and transparency [44]. Thus, an adaptive personalized interface observant of the driver's mental capacities can be implemented.…”

“…Thus, an adaptive personalized interface observant of the driver's mental capacities can be implemented. For example, high MWL and PL classification can be utilized to simplify the interaction approach with the invehicle HMI while driving [88], or to alert the user to stop driving entirely if needed until mental or perceptual "cool-down". Finally, while the n-back task is widely used to control MWL levels in the driving context [4, 70-72, 90, 92], it is limited in regards to construct, concurrent, and ecological validity [49,51].…”