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SHRP2 NEST Database: Exploring Conditions of Secondary Task Engagement in Naturalistic Trip Data., , , , , , and . AutomotiveUI (adjunct), page 185-190. ACM, (2016)Effect of emotional speech tone on driving from lab to road: fMRI and ERP studies., , and . AutomotiveUI, page 22-28. ACM, (2010)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)What Can Be Predicted from Six Seconds of Driver Glances?, , , , , , , and . CoRR, (2016)2nd Workshop on Situation Awareness in Automotive Evaluation & Design., , , , and . AutomotiveUI (adjunct), page 1-9. ACM, (2018)Conversation effects on neural mechanisms underlying reaction time to visual events while viewing a driving scene: fMRI analysis and asynchrony model, , , , , , , , , and . Brain Research, (2009)Automated Driving System Collisions: Early Lessons., , and . Hum. Factors, (2020)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)Differentiating Cognitive Load Using a Modified Version of AttenD., , , , and . AutomotiveUI, page 114-122. ACM, (2017)A Description of a Subtask Dataset with Glances., , , , , and . CoRR, (2019)