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dc.contributor.authorBerkowitz, Jack Philipen_US
dc.date.accessioned2014-03-14T21:48:43Z
dc.date.available2014-03-14T21:48:43Z
dc.date.issued1990-12-05en_US
dc.identifier.otheretd-11012008-063500en_US
dc.identifier.urihttp://hdl.handle.net/10919/45409
dc.description.abstractAn isometric, zero-order (position), one dimensional pursuit tracking task was used to investigated the effects of alterations in the speed of target movement and the control/response ratio (C/R ratio) on human tracking performance. The speed of target movement was varied through different frequency sine-wave forcing functions. The C/R ratio was controlled by varying the force level required to track the target. This required force level was individually tailored I with force levels scaled to the isometric maximum voluntary contraction (MVC) of elbow extension for each subject. It was hypothesized that higher frequencies of forcing function (5 levels) and higher required force levels (5 levels) would result in degraded tracking performance. The dependent variable investigated was absolute tracking error as a proportion of the required force level for the trial. Results revealed significant main effects for both Frequency and Force, but not for any of the two- or three-way interactions. The trend was linear for Frequency, with superior tracking occurring at slower frequencies. The effect of Force level was modelled using a second-order polynomial, indicating that superior tracking occurred at the middle required force levels. Regression analysis provided a predicted optimal force level of approximately 65% extension MVC. Subjective mental workload evaluations using the Modified Cooper-Harper scale showed similar results. Results are interpreted with regards to selecting optimum system gains for human manual control.en_US
dc.format.mediumBTDen_US
dc.publisherVirginia Techen_US
dc.relation.haspartLD5655.V855_1990.B476.pdfen_US
dc.subjectIsometric exercise.en_US
dc.subject.lccLD5655.V855 1990.B476en_US
dc.titleRequired force level and isometric trackingen_US
dc.typeThesisen_US
dc.contributor.departmentIndustrial Engineering and Operations Researchen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineIndustrial Engineering and Operations Researchen_US
dc.contributor.committeememberBay, John S.en_US
dc.contributor.committeememberCasali, John G.en_US
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-11012008-063500/en_US
dc.contributor.committeecochairWoldstad, Jeffery C.en_US
dc.contributor.committeecochairKemmerling, Paul T. Jr.en_US
dc.date.sdate2008-11-01en_US
dc.date.rdate2008-11-01
dc.date.adate2008-11-01en_US


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