Nonlinear Hemodynamic of Workload and Workload Transitions

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dc.contributor.advisorThompson, James
dc.contributor.authorMcKendrick, Ryan
dc.creatorMcKendrick, Ryan
dc.date.accessioned2016-09-28T10:20:50Z
dc.date.available2016-09-28T10:20:50Z
dc.date.issued2016
dc.description.abstractQuantifying and classifying cognitive load (i.e. how individuals cognitively respond to the demands of a task) is important for optimal performance. How cognitive load changes over time (i.e. workload transitions) alters the perception of cognitive load and performance. Activity in prefrontal cortex has previously been associated with working memory load. Furthermore, attenuation of prefrontal activity has been linked to cognitive overload, a cognitive load state associated with failures in task performance. We hypothesized that a similar nonlinearity would be observed for cognitive underload, a cognitive load state associated with mind wandering and inefficient attention strategies. These two nonlinearities for cognitive underload and overload would manifest as a cubic function in lateral prefrontal cortex relating to working memory load. Observation of this function would allow for objective classification of different cognitive load states. These states could then be identified in individual performers and used to study the effects of workload transitions to different cognitive load states. Workload transitions were hypothesized to induce an increase in cognitive load as indexed by changes in oxygenated hemoglobin in lateral prefrontal cortex.
dc.format.extent112 pages
dc.identifier.urihttps://hdl.handle.net/1920/10415
dc.language.isoen
dc.rightsCopyright 2016 Ryan McKendrick
dc.subjectCognitive psychology
dc.subjectNeurosciences
dc.subjectCognitive Load
dc.subjectCognitive States
dc.subjectFNIRS
dc.subjectWorking memory
dc.titleNonlinear Hemodynamic of Workload and Workload Transitions
dc.typeDissertation
thesis.degree.disciplinePsychology, Human Factors/Applied Cognition Concentration
thesis.degree.grantorGeorge Mason University
thesis.degree.levelPh.D.

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