Adapting the task-taxon-task methodology to model the impact of chemical protective gear

Shane T. Mueller (), Benjamin Simpkins, George Anno, Corey K. Fallon, Owen Price and Gene E. McClellan
Additional contact information
Shane T. Mueller: Applied Research Associates, Inc.
Benjamin Simpkins: Applied Research Associates, Inc.
George Anno: Applied Research Associates, Inc.
Corey K. Fallon: Applied Research Associates, Inc.
Owen Price: Applied Research Associates, Inc.
Gene E. McClellan: Applied Research Associates, Inc.

Computational and Mathematical Organization Theory, 2011, vol. 17, issue 3, No 3, 271 pages

Abstract: Abstract The Task-Taxon-Task method (Anno et al. DNA-TR-95-115, 1996) is a statistical modeling approach to predict performance decrements on behavioral tasks in response to various stressors. We describe the basics of the T3 method and our approach to adapting it to handle more acute stressors, which can require decomposition into task networks via logical or empirical analysis. We provide an illustrative example showing how the method can be used to account for performance decrements in manual tasks associated with wearing protective gloves. This illustration provides a substantive application in which the current T3 method can be augmented to account for performance decrements in a new sub-domain, while additionally providing lessons for extending the method to new stressors, performance domains, and behavior modeling systems.

Keywords: Performance prediction; Cognitive moderators; Performance modifiers; Performance under stress (search for similar items in EconPapers)
Date: 2011
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10588-011-9093-7

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