Courtney M Goodridge, Rafael C Gonçalves, Ali Arabian, Anthony Horrobin, Albert Solernou, Yee Thung Lee, Yee Mun Lee, Ruth Madigan, Natasha Merat
As the level of vehicle automation increases, drivers are more likely to engage in non-driving related tasks which take their hands, eyes, and/or mind away from the driving task. Consequently, there has been increased interest in creating Driver Monitoring Systems (DMS) that are valid and reliable for detecting elements of driver state. Workload is one element of driver state that has remained elusive within the literature. Whilst here has been promising work in estimating mental workload using gaze-based metrics, the literature has placed too much emphasis on point estimate differences...
April 26, 2024: Accident; Analysis and Prevention