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dc.rights.licenseRestricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.
dc.contributorBoles, David B.
dc.contributorKalsher, Michael J.
dc.contributorYang, Yingrui
dc.contributor.authorBursk, Jonathan H.
dc.date.accessioned2021-11-03T08:50:51Z
dc.date.available2021-11-03T08:50:51Z
dc.date.created2017-07-26T09:50:49Z
dc.date.issued2003-05
dc.identifier.urihttps://hdl.handle.net/20.500.13015/1995
dc.descriptionMay 2003
dc.descriptionSchool of Humanities and Social Sciences
dc.description.abstractThe validity of Multiple Resource Theory (MRT) to predict performance was investigated. Multiple resources identified in the literature were compiled in a MRT questionnaire and compared in terms of its ability to predict performance to an aggregate of standard subjective workload indices. Three means of coding the MRT questionnaire were also compared. The profile similarity, resource competition, and overall MRT demand coding schemes were compared to the aggregate of time demand, stress demand, mental demand, and overall demand workload scales. The results showed a significant difference between the workload measures. Post hoc analysis indicated that MR demand differed significantly from profile similarity, resource demand, and manual output. While there were significant differences within MRT coding schemes, MRT checklists were not significantly different from the global demand rating. A manual output bottleneck, improper controls in dual task trials, and a performance measure bottoming effect may have contributed to the observed results.
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectCognitive science
dc.titleValidation of a multiple resource checklist in predicting performance
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid178337
dc.digitool.pid178338
dc.digitool.pid178339
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreeMS
dc.relation.departmentDept. of Cognitive Science


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