Titlebook: Human Mental Workload: Models and Applications; Second International Luca Longo,M. Chiara Leva Conference proceedings 2019 Springer Nature

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Mental Workload and Other Causes of Different Types of Fatigue in Rail Staffthe importance of mental workload for different types of work fatigue and reveal other specific causes for each type of fatigue. Prolonged work and insufficient rest resulted in physical fatigue, while poor shift patterns caused mental and emotional fatigue.

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1865-0929 ORKLOAD 2018, held in Amsterdam, The Netherlands, in September 2018...The 15 revised full papers presented together with one keynote were carefully reviewed and selected from 31 submissions. The papers are organized in two topical sections on models and applications..978-3-030-14272-8978-3-030-14273

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Understanding, Supporting, and Redesigning Cognitive Work work allocation and mental workload. Finally, the prediction of work patterns is discussed. Predicting the influence of new technologies on human work is a critical capability for the human factors practitioners of the future.

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Assessing Workload in Human-Machine Teams from Psychophysiological Data with Sparse Ground Truthprogram. Psychophysiological measures were collected from wearable sensors, and workload was self-assessed using the NASA Task Load Index. Our results provide evidence that models learned from psychophysiological data collected from other subjects outperform models trained on a limited amount of data for a given subject.

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Analysing the Impact of Machine Learning to Model Subjective Mental Workload: A Case Study in Third-ion or hypothesis. These models are subsequently compared against two well-known subjective measures of mental workload, namely the NASA Task Load Index and the Workload Profile. Findings show how these data-driven models are convergently valid and can explain overall perception of mental workload with a lower error.

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An Empirical Approach to Workload and Human Capability Assessment in a Manufacturing Plantizations and improved work organization, to reduce defects and waste generation. The paper presents a brief description of the theoretical and empirical approach used to assess the workload of complex tasks in assembly lines and the matching operators’ skillsets; furthermore, it also discusses some of the preliminary results of its application.

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The Evolution of Cognitive Load Theory and the Measurement of Its Intrinsic, Extraneous and Germane olution of Cognitive Load Theory as well as the measurement techniques and measures emerged for its cognitive load types. It also synthesises the main critiques of scholars and the scientific value of the theory from a rationalist and structuralist perspective.