At-Risk Driving Behavior in Drivers with Diabetes: A Neuroergonomics Approach

摘要

This pilot study tackles the overarching need for driver-state detection through real-world measurements ofrndriver behavior and physiology in at-risk drivers with type 1 diabetes mellitus (DM). 35 drivers (19 DM, 14rncomparison) participated. Real-time glucose levels were measured over four weeks with continuousrnglucose monitor (CGM) wearable sensors. Contemporaneous real-world driving performance and behaviorrnwere measured with in-vehicle video and electronic sensor instrumentation packages. Results showed clearrnlinks between at-risk glucose levels (particularly hypoglycemia) and changes in driver performance andrnbehavior. DM participants often drove during at-risk glucose levels (low and high) and showed cognitivernimpairments in key domains for driving, which are likely linked to frequent hypoglycemia. The finding ofrnincreased driving risk in DM participants was mirrored in state records of crashes and traffic citations.rnCombining sensor data and phenotypes of driver behavior can inform patients, caregivers, safetyrninterventions, policy, and design of supportive in-vehicle technology that is responsive to driver state.