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Mental Workload Monitoring: New Perspectives from Neuroscience

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Human Mental Workload: Models and Applications (H-WORKLOAD 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1107))

Abstract

Mental Workload is nowadays a keyword used and sometimes abused in life sciences. The present chapter aims at introducing the concept of mental workload, its relevance for Human Factor research and the current needs of applied disciplines in a clear and effective way. This paper will present a state-of-art overview of recent outcomes produced by neuroscientific research to highlight current trends in this field. The present paper will offer an overview of and some examples of what neuroscience has to offer to mental workload-related research.

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Authors and Affiliations

  1. Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy

    Fabio Babiloni

  2. Department of Computer Science, Hangzhou Dianzi University, Hangzhou, China

    Fabio Babiloni

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  1. Technological University Dublin, Dublin, Ireland

    Luca Longo

  2. Technological University Dublin, Dublin, Ireland

    Maria Chiara Leva

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Babiloni, F. (2019). Mental Workload Monitoring: New Perspectives from Neuroscience. In: Longo, L., Leva, M. (eds) Human Mental Workload: Models and Applications. H-WORKLOAD 2019. Communications in Computer and Information Science, vol 1107. Springer, Cham. https://doi.org/10.1007/978-3-030-32423-0_1

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