title: Physiological state model for human ergonomic workload.
abstract: Twenty ergonomic tasks were evaluated in which human operators performed mixed static work and dynamic work. Steady-state physiological data are the input into a model as regressor variables, which are then multiplied by the respective regressor coefficients. The resultant physiological state model output is a single response variable that represents the workload. Mixed stepping regression techniques were utilized to calculate the regressor coefficients. Ten physiological state model equations resulted. A lower order equation (with three regressor variables) accounted for 80% of the observed variance. The highest order equation (with ten regressor variables) accounted for 89% of the variance.
authors.affiliation: Department of Biomedical, Industrial and Human Factors Engineering, Wright State University, Dayton, OH 45435, USA. chandler.phillips@wright.edu
authors.forename: Chandler A
authors.initials: CA
authors.lastname: Phillips
authors.forename: Daniel W
authors.initials: DW
authors.lastname: Repperger
mesh_terms: D003198:Computer Simulation; D006804:Ergonomics / Q000706:statistics & numerical data; D015444:Exercise / Q000502:physiology; D006439:Hemodynamics; D006801:Humans; D008433:Mathematics; D008954:Models, Biological; D009119:Muscle Contraction; D010101:Oxygen Consumption; D014937:Work