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

  • Authors:
  • Shane T. Mueller;Benjamin Simpkins;George Anno;Corey K. Fallon;Owen Price;Gene E. Mcclellan

  • Affiliations:
  • Applied Research Associates, Inc., Fairborn, USA 45324;Applied Research Associates, Inc., Fairborn, USA 45324;Applied Research Associates, Inc., Fairborn, USA 45324;Applied Research Associates, Inc., Fairborn, USA 45324;Applied Research Associates, Inc., Fairborn, USA 45324;Applied Research Associates, Inc., Fairborn, USA 45324

  • Venue:
  • Computational & Mathematical Organization Theory
  • Year:
  • 2011

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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.