Performance prediction of an upper extremity reciprocal task using non-linear causal resource analysis

Author

Vasta, Paul J. ; Kondraske, George V.

Author_Institution

Human Performance Inst., Texas Univ., Arlington, TX, USA

fYear

1994

fDate

3-6 Nov 1994

Firstpage

305

Abstract

Nonlinear causal resource analysis (NCRA) is a new method for task analysis and prediction of human performance based on resource economic performance modeling. This method was investigated in an upper extremity coordinated movement task. Prediction accuracy obtained supports the validity of NCRA as an alternative to regression models as a prediction tool

Keywords

biomechanics; physiological models; task analysis; human performance prediction; nonlinear causal resource analysis; performance prediction; prediction accuracy; regression models; resource economic performance modeling; task analysis method; upper extremity coordinated movement task; upper extremity reciprocal task; Accuracy; Availability; Data analysis; Economic forecasting; Extremities; Humans; Mathematical model; Performance analysis; Predictive models; System performance;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE

Conference_Location

Baltimore, MD

Print_ISBN

0-7803-2050-6

Type

conf

DOI

10.1109/IEMBS.1994.412032

Filename

412032

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1851443