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Clustering of Drivers' State Before Takeover Situations Based on Physiological Features Using Unsupervised Machine Learning.

, , , , , , , , , and . IHIET (Paris), volume 319 of Lecture Notes in Networks and Systems, page 550-555. Springer, (2021)

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A Contextual Multimodal System for Increasing Situation Awareness and Takeover Quality in Conditionally Automated Driving., , , , , , , , and . IEEE Access, (2023)Keyword Extraction in Scientific Documents., , , , , , , , , and . SwissText, volume 3361 of CEUR Workshop Proceedings, page 44-55. CEUR-WS.org, (2022)Secondary task and situation awareness, a mobile application for semi-autonomous vehicle., , , , , , and . IHM, page 12:1-12:10. ACM, (2019)Relevant Physiological Indicators for Assessing Workload in Conditionally Automated Driving, Through Three-Class Classification and Regression., , , , , , , and . Frontiers Comput. Sci., (2021)Clustering of Drivers' State Before Takeover Situations Based on Physiological Features Using Unsupervised Machine Learning., , , , , , , , , and . IHIET (Paris), volume 319 of Lecture Notes in Networks and Systems, page 550-555. Springer, (2021)Workshop on explainable AI in automated driving: a user-centered interaction approach., , , , , , , , and . AutomotiveUI (adjunct), page 32-37. ACM, (2019)Designing an AI-Companion to Support the Driver in Highly Autonomous Cars., , , , , , , and . HCI (2), volume 12182 of Lecture Notes in Computer Science, page 335-349. Springer, (2020)Effect of Obstacle Type and Cognitive Task on Situation Awareness and Takeover Performance in Conditionally Automated Driving., , , , , , , and . IHM, page 5:1-5:12. ACM, (2023)Can we predict driver distraction without driver psychophysiological state?: a feasibility study on noninvasive distraction detection in manual driving., , and . AutomotiveUI (adjunct), page 194-198. ACM, (2019)Secondary task and situation awareness, a mobile application for conditionally automated vehicles., , , , , , and . AutomotiveUI (adjunct), page 86-92. ACM, (2019)