Abstract
Mental workload is an increasingly important determinant of the performance of human-machine systems. As the power, complexity and ubiquity of both everyday and specialised computing solutions increase, the limiting factor of such systems performance is shifting from the ma-chine to the human. This dynamic is further exacerbated by the need for human decision making in environments characterized by the need to process and integrate an unprecedented amount of information. Furthermore, the rapid pace of industrial, commercial, and indeed every-day life frequently requires high levels of user performance under time-limited conditions and often in sub-optimal contexts characterised by stress and competing demands for attention. As such, the need to understand and design for the particular characteristics of the user has never been stronger.
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Chen, F. et al. (2016). Introduction. In: Robust Multimodal Cognitive Load Measurement. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-319-31700-7_1
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DOI: https://doi.org/10.1007/978-3-319-31700-7_1
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