Human Mental Workload: Models and Applications
First International Symposium, H-WORKLOAD 2017, Dublin, Ireland, June 28-30, 2017, Revised Selected Papers
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6 Result(s)
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Chapter and Conference Paper
The Evolution of Cognitive Load Theory and the Measurement of Its Intrinsic, Extraneous and Germane Loads: A Review
Cognitive Load Theory has been conceived for supporting instructional design through the use of the construct of cognitive load. This is believed to be built upon three types of load: intrinsic, extraneous and...
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Chapter and Conference Paper
Analysing the Impact of Machine Learning to Model Subjective Mental Workload: A Case Study in Third-Level Education
Mental workload measurement is a complex multidisciplinary research area that includes both the theoretical and practical development of models. These models are aimed at aggregating those factors, believed to...
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Chapter and Conference Paper
On the Mental Workload Assessment of Uplift Map** Representations in Linked Data
Self-reporting procedures have been largely employed in literature to measure the mental workload experienced by users when executing a specific task. This research proposes the adoption of these mental worklo...
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Book and Conference Proceedings
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Chapter and Conference Paper
Estimation of Train Driver Workload: Extracting Taskload Measures from On-Train-Data-Recorders
This paper presents a method to extract train driver taskload from downloads of on-train-data-recorders (OTDR). OTDR are in widespread use for the purposes of condition monitoring of trains, but they may also ...
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Chapter and Conference Paper
Assessment of Mental Workload: A Comparison of Machine Learning Methods and Subjective Assessment Techniques
Mental workload (MWL) measurement is a complex multidisciplinary research field. In the last 50 years of research endeavour, MWL measurement has mainly produced theory-driven models. Some of the reasons for ju...
