Development of In-vehicle Information Dissemination Mechanisms to Reduce Cognitive Burden in the Information-rich Driving Environment

<p>This dataset contains the brain electrical activity patterns of 84 participants collected using an electroencephalogram (EEG) in an interactive driving simulator environment. The impacts of real-time auditory travel information characteristics (amount and content) and different time stages of interaction with information provision (before, during and after) on the frequency band powers of EEG signals in different brain regions are analyzed using linear mixed models. Study results illustrate that drivers exert more cognitive effort to perceive and process real-time information on complex routes in terms of the road environment and traffic interactions. Further, insufficient real-time travel information may evoke increased attention to internal processing and memory retrieval on routes characterized by higher travel time uncertainty. Also, driver anxiety may increase due to information recommending switch to routes with higher travel time uncertainty and complex driving environment. The study findings can aid information providers, both private and public, as well as auto manufacturers to incorporate driver cognition and psychology in designing real-time information and their delivery systems.</p>