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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 . Hum. Factors, 54 (3): 396-412 (2012)

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Exploring new qualitative methods to support a quantitative analysis of glance behavior., , and . AutomotiveUI, page 125-132. ACM, (2015)An on-road assessment of the impact of cognitive workload on physiological arousal in young adult drivers., , , , and . AutomotiveUI, page 115-118. ACM, (2009)MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction With Automation., , , , , , , , , and 8 other author(s). IEEE Access, (2019)Eye Contact Between Pedestrians and Drivers., , , , , , , and . CoRR, (2019)What Can Be Predicted from Six Seconds of Driver Glances?, , , , , , , and . CoRR, (2016)Perceptual Evaluation of Driving Scene Segmentation., , , and . IV, page 1444-1450. IEEE, (2021)User Perceptions Toward In-Vehicle Technologies: Relationships to Age, Health, Preconceptions, and Hands-On Experience., , , and . Int. J. Hum. Comput. Interaction, 31 (10): 667-681 (2015)Are drivers aware of their behavior changes when using In-Vehicle systems., , , and . ITSC, page 1515-1518. IEEE, (2012)A Description of a Subtask Dataset with Glances., , , , , and . CoRR, (2019)Driver-initiated Tesla Autopilot Disengagements in Naturalistic Driving., , , and . AutomotiveUI, page 57-65. ACM, (2020)