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A study of human behavior and mental workload based on neural network

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2016) 9754 389-397
DOI: 10.1007/978-3-319-39943-0_38
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Abstract

Human mental activities could be displayed by human behavior, which are observable directly in work environment. In current study, a method based on human behavior not directly related to task execution in work is proposed to assess the workload in mental work situations. Ten subjects were recruited and asks to perform various levels of a mental task. The link between human behavior and mental workload for four mental tasks completed on a computer were studied based on Neural Network. The result indicates that the relationship between human behavior and mental workload could be well described in a non-linear model.

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Xiao, L., Qiu, J., & Lu, J. (2016). A study of human behavior and mental workload based on neural network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9754, pp. 389–397). Springer Verlag. https://doi.org/10.1007/978-3-319-39943-0_38

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