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Abstract

The study on cognitive workload is a field of research of high interest in the digital society.

The implementation of ‘Industry 4.0’ paradigm asks the smart operators in the digital factory

to accomplish more ‘cognitive-oriented’ than ‘physical-oriented’ tasks. The Authors propose

an analytical model in the information theory framework to estimate the cognitive workload

of operators. In the model, subjective and physiological measures are adopted to measure

the work load. The former refers to NASA-TLX test expressing subjective perceived work

load. The latter adopts Heart Rate Variability (HRV) of individuals as an objective indirect

measure of the work load. Subjective and physiological measures have been obtained by

experiments on a sample subjects. Subjects were asked to accomplish standardized tasks

with different cognitive loads according to the ‘n-back’ test procedure defined in literature.

Results obtained showed potentialities and limits of the analytical model proposed as well as

of the experimental subjective and physiological measures adopted. Research findings pave

the way for future developments.

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Authors and Affiliations

Salvatore Digiesi
Vito Modesto Manghisi
Francesco Facchini
Elisa Maria Klose
Mario Massimo Foglia
Carlotta Mummolo

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