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Classifying driver workload using physiological and driving performance data: two field studies.

, , , , and . CHI, page 4057-4066. ACM, (2014)

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Monitoring, Managing, and Motivating Driver Safety and Well-Being., , and . IEEE Pervasive Computing, 10 (3): 14-21 (2011)CLW 2014: The Fourth Workshop on Cognitive Load and In-Vehicle Human-Machine Interaction., , , , , , , , and . AutomotiveUI (adjunct), page 1:1-1:4. ACM, (2014)Effects of an 'Expert Mode' Voice Command System on Task Performance, Glance Behavior & Driver Physiology., , , , , , and . AutomotiveUI, page 23:1-23:9. ACM, (2014)Driver Gaze Region Estimation without Use of Eye Movement., , , and . IEEE Intelligent Systems, 31 (3): 49-56 (2016)Sensitivity of Physiological Measures for Detecting Systematic Variations in Cognitive Demand From a Working Memory Task: An On-Road Study Across Three Age Groups., , and . Human Factors, 54 (3): 396-412 (2012)A User Study of Semi-Autonomous and Autonomous Highway Driving: An Interactive Simulation Study., , and . IEEE Pervasive Computing, 18 (1): 49-58 (2019)A Field Study on the Impact of Variations in Short-Term Memory Demands on Drivers' Visual Attention and Driving Performance Across Three Age Groups., , , and . Human Factors, 54 (3): 454-468 (2012)MIT Autonomous Vehicle Technology Study: Large-Scale Deep Learning Based Analysis of Driver Behavior and Interaction with Automation., , , , , , , , , and 8 other author(s). CoRR, (2017)Designing Toward Minimalism in Vehicle HMI., , , and . CoRR, (2018)Öwl" and "Lizard": Patterns of Head Pose and Eye Pose in Driver Gaze Classification., , , and . CoRR, (2015)