In June, several AgeLab researchers presented at the 8th International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design.
Joonbum Lee presented work done with Alina Sinelnikova on the application of machine learning techniques to the classification of task and non-task driving periods, which tied for second prize in the Honda Outstanding Student Paper Awards. Mauricio Muñoz presented a talk about using machine learning to predict drivers' gaze positions based on head rotation data, which garnered significant attention and was awarded first place in the Outstanding Student Paper Awards. Tom McWilliams, presented a talk on the effect of delays in voice interface interactions on drivers’ behavior and physiological responses. Lastly, Jonathan Dobres presented a talk on how typeface design can interact with the realities of font rendering to impact legibility at a glance and across the lifespan.
Papers corresponding to the four presentations can be found on the Publications page of the AgeLab website.