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  1. Understanding the Multidimensional and Dynamic Nature of Facial Expressions Based on Indicators for Appraisal Components as Basis for Measuring Drivers' Fear.Meng Zhang, Klas Ihme, Uwe Drewitz & Meike Jipp - 2021 - Frontiers in Psychology 12.
    Facial expressions are one of the commonly used implicit measurements for the in-vehicle affective computing. However, the time courses and the underlying mechanism of facial expressions so far have been barely focused on. According to the Component Process Model of emotions, facial expressions are the result of an individual's appraisals, which are supposed to happen in sequence. Therefore, a multidimensional and dynamic analysis of drivers' fear by using facial expression data could profit from a consideration of these appraisals. A driving (...)
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  • Estimating Cognitive Workload in an Interactive Virtual Reality Environment Using EEG.Christoph Tremmel, Christian Herff, Tetsuya Sato, Krzysztof Rechowicz, Yusuke Yamani & Dean J. Krusienski - 2019 - Frontiers in Human Neuroscience 13.
  • A Methodological Review of fNIRS in Driving Research: Relevance to the Future of Autonomous Vehicles.Stephanie Balters, Joseph M. Baker, Joseph W. Geeseman & Allan L. Reiss - 2021 - Frontiers in Human Neuroscience 15.
    As automobile manufacturers have begun to design, engineer, and test autonomous driving systems of the future, brain imaging with functional near-infrared spectroscopy can provide unique insights about cognitive processes associated with evolving levels of autonomy implemented in the automobile. Modern fNIRS devices provide a portable, relatively affordable, and robust form of functional neuroimaging that allows researchers to investigate brain function in real-world environments. The trend toward “naturalistic neuroscience” is evident in the growing number of studies that leverage the methodological flexibility (...)
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