TY - GEN
T1 - At-risk driving behavior in drivers with diabetes
T2 - Human Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017
AU - Merickel, Jennifer
AU - High, Robin
AU - Smith, Lynette
AU - Wichman, Chris
AU - Frankel, Emily
AU - Smits, Kaitlin
AU - Drincic, Andjela
AU - Desouza, Cyrus
AU - Gunaratne, Pujitha
AU - Ebe, Kazutoshi
AU - Rizzo, Matthew
N1 - Publisher Copyright:
Copyright 2017 by Human Factors and Ergonomics Society.
PY - 2017
Y1 - 2017
N2 - This pilot study tackles the overarching need for driver-state detection through real-world measurements of driver behavior and physiology in at-risk drivers with type 1 diabetes mellitus (DM). 35 drivers (19 DM, 14 comparison) participated. Real-time glucose levels were measured over four weeks with continuous glucose monitor (CGM) wearable sensors. Contemporaneous real-world driving performance and behavior were measured with in-vehicle video and electronic sensor instrumentation packages. Results showed clear links between at-risk glucose levels (particularly hypoglycemia) and changes in driver performance and behavior. DM participants often drove during at-risk glucose levels (low and high) and showed cognitive impairments in key domains for driving, which are likely linked to frequent hypoglycemia. The finding of increased driving risk in DM participants was mirrored in state records of crashes and traffic citations. Combining sensor data and phenotypes of driver behavior can inform patients, caregivers, safety interventions, policy, and design of supportive in-vehicle technology that is responsive to driver state.
AB - This pilot study tackles the overarching need for driver-state detection through real-world measurements of driver behavior and physiology in at-risk drivers with type 1 diabetes mellitus (DM). 35 drivers (19 DM, 14 comparison) participated. Real-time glucose levels were measured over four weeks with continuous glucose monitor (CGM) wearable sensors. Contemporaneous real-world driving performance and behavior were measured with in-vehicle video and electronic sensor instrumentation packages. Results showed clear links between at-risk glucose levels (particularly hypoglycemia) and changes in driver performance and behavior. DM participants often drove during at-risk glucose levels (low and high) and showed cognitive impairments in key domains for driving, which are likely linked to frequent hypoglycemia. The finding of increased driving risk in DM participants was mirrored in state records of crashes and traffic citations. Combining sensor data and phenotypes of driver behavior can inform patients, caregivers, safety interventions, policy, and design of supportive in-vehicle technology that is responsive to driver state.
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U2 - 10.1177/1541931213601950
DO - 10.1177/1541931213601950
M3 - Conference contribution
AN - SCOPUS:85042490589
T3 - Proceedings of the Human Factors and Ergonomics Society
SP - 1881
EP - 1885
BT - Proceedings of the Human Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017
PB - Human Factors an Ergonomics Society Inc.
Y2 - 9 October 2017 through 13 October 2017
ER -