Task Demand Transition Peak Point Effects on Mental Workload Measures Divergence

Enrique Muñoz-de-Escalona, José Juan Cañas, Chiara Leva, Luca Longo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The capacity to assess and manage mental workload is becoming more and more relevant in the current work environments as it helps to prevent work related accidents and achieve better efficiency and productivity. Mental workload is often measured indirectly by inferring its effects on performance, mental states, and psychophysiological indexes. Since these three main axes should reflect changes in task demands, convergence between measures is expected, however research has found that this convergence is not to be taken for granted as it is not often present. This study aims to explore how the task demand transition peak point may affect in mental workload divergence between measures during task-load changes: some measures might be more sensitive to abrupt changes in task demand than others and this could also be mediated by the task-load baseline. This was tested by manipulating task-load transitions and the point at which the change in the task load magnitude reaches its highest relative peak over time during a monitoring experiment, while psychophysiological (pupil size) and subjective perceptions were collected as indicators of subjects’ workload alongside objective indicators of task performance from the simulation. The results showed that performance measure proved to be sensitive to abrupt increases in task demand in every condition whereas our physiological measure was only sensitive to a sudden increase in task-load during low mental workload baseline circumstances. Furthermore, contrary to what expected, subjective ratings of mental workload did not react to abrupt transitions in task-load in every condition but only to an absolute measure of the overall level of task demand.

Original languageEnglish
Title of host publicationHuman Mental Workload
Subtitle of host publicationModels and Applications - 4th International Symposium, H-WORKLOAD 2020, Proceedings
EditorsLuca Longo, Maria Chiara Leva
PublisherSpringer Science and Business Media Deutschland GmbH
Pages207-226
Number of pages20
ISBN (Print)9783030623012
DOIs
Publication statusPublished - Nov 2020
Event4th International Symposium on Human Mental Workload: Models and Applications, H-WORKLOAD 2020 - Granada, Spain
Duration: 3 Dec 20205 Dec 2020

Publication series

NameCommunications in Computer and Information Science
Volume1318
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference4th International Symposium on Human Mental Workload: Models and Applications, H-WORKLOAD 2020
Country/TerritorySpain
CityGranada
Period3/12/205/12/20

Keywords

  • Convergence
  • Dissociations
  • Divergence
  • Insensitivities
  • Mental workload
  • Peak point
  • Rates of change
  • Task demand transitions
  • Workload measures

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