SAE J3016 categorizes Driving Automation features primarily through the parts of the driving task no longer assigned to the driver but rather apportioned to the system; these levels embody a promise made by the manufacturer to stakeholders, but safety also depends on the driver’s performance of their role. Human Factors issues vary by the level of automation in use, and reference longstanding topics including Signal Detection theory, Usability, Workload and the Vigilance Decrement, Complacency, Mode Confusion, Mental Models, Receptivity, Trust and Acceptance. Other concepts discussed include Safety Criticality as well as Safety Benefit and Operational Design Domain. There are significant opportunities for Human Factors research to benefit this emerging technology area, especially as higher level automation features make their way into retail automotive vehicles.
Chuck Green is a Human Factors Scientist who has been studying driver performance with driving automation systems for 16 years, including Adaptive Cruise Control and GM’s Super Cruise feature. Chuck was a principal investigator in FHWA’s HF4LAADS and NHTSA’s L2L3 and ACAT-Backing projects, as well as a member of the CAMP Automated Vehicle Research and SAE J3016, J3114 and J3048 workgroups. Chuck has also commissioned driver performance research on Rear Vision, Reverse Automatic Braking, Unintended Deceleration and related features. Prior to working in the Automotive industry, Chuck spent 5 years managing a usability laboratory at Southwestern Bell’s research arm as well as conducting research on speech recognition, interactive voice response, text messaging and mobile internet products; Chuck also did a year long stint at wireless internet startup Mobileum. Chuck received his B.S. in Mechanical Engineering from University of Illinois Champaign (1990), and M.S. (1992) and Ph.D. (1995) in Industrial and Systems Engineering – Human Factors from Virginia Tech.