Driver Adaptation to Driving Speed and Road Width: Exploring Parameters for Designing Adaptive Haptic Shared Control

Hap tic shared control systems combine control inputs of driver and intelligent vehicle by means of forces at the steering wheel, establishing a physical link combining the strengths of each agent. The majority of hap tic shared control systems generates forces in response to the driving environment in a ´one size-fits-all´ manner, without adapting the feedback to the requirements and preferences of individual drivers. This results in conflicts that could be avoided by allowing the hap tics shared to adapt to the environments in a human-like way. Drivers can easily adapt their neuromuscular system to changing steering dynamics, but little is known how drivers adapt it to changes in the driving environment. To enable individualized shared control we need to extend our understanding of human adaptation to environmental factors during driving. This paper describes a fixed-base driving simulator experiment that shows increased speed and reduced road width both decrease neuromuscular admittance of the driver.