Please use this identifier to cite or link to this item: https://zone.biblio.laurentian.ca/handle/10219/2516
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dc.contributor.authorMach, Quoc Hao-
dc.date.accessioned2016-01-26T15:46:49Z-
dc.date.available2016-01-26T15:46:49Z-
dc.date.issued2015-06-26-
dc.identifier.urihttps://zone.biblio.laurentian.ca/dspace/handle/10219/2516-
dc.description.abstractNeuroergonomics is an interdisciplinary field merging neuroscience and ergonomics to optimize performance. In order to design an optimal user interface, we must understand the cognitive processing involved. Traditional methodology incorporates self-assessment from the user. This dissertation examines the use of neurophysiological techniques in quantifying the cognitive processing involved in allocating cognitive resources. Attentional resources, cognitive processing, memory and visual scanning are examined to test the ecological validity of theoretical laboratory settings and how they translate to real life settings. By incorporating a non-invasive measurement technique, such as the quantitative electroencephalogram (QEEG), we are able to examine connectivity patterns in the brain during operation and discern whether or not a user has obtained expert status. Understanding the activation patterns during each phase of design will allow us to gauge whether our design has balanced the cognitive requirements of the user.en_CA
dc.language.isoenen_CA
dc.subjectNeuroergonomicsen_CA
dc.subjectIndustrial designen_CA
dc.subjectUser interfaceen_CA
dc.subjectNeurophysiological techniquesen_CA
dc.subjectCognitive processingen_CA
dc.subjectAttentional resourcesen_CA
dc.subjectMemory scanningen_CA
dc.subjectVisual scanningen_CA
dc.subjectQuantitatiave electroencephalogram (QEEG)en_CA
dc.subjectNon-invasive measurement technigueen_CA
dc.subjectActivitation patternsen_CA
dc.subjectMining equipmenten_CA
dc.titleApplication of neuroergonomics in the industrial design of mining equipment.en_CA
dc.typeThesisen_CA
dc.description.degreeDoctor of Philosophy (PhD) in Natural Resources Engineering-
dc.publisher.grantorLaurentian University of Sudbury-
Appears in Collections:Doctoral Theses
Natural Resources Engineering - Doctoral theses

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