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

Author

Listed:
  • 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.)

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.

Suggested Citation

  • Shane T. Mueller & Benjamin Simpkins & George Anno & Corey K. Fallon & Owen Price & Gene E. McClellan, 2011. "Adapting the task-taxon-task methodology to model the impact of chemical protective gear," Computational and Mathematical Organization Theory, Springer, vol. 17(3), pages 251-271, September.
    • Handle: RePEc:spr:comaot:v:17:y:2011:i:3:d:10.1007_s10588-011-9093-7
    DOI: 10.1007/s10588-011-9093-7
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    Cited by:

    1. William G. Kennedy & Frank E. Ritter & Bradley J. Best, 2011. "Behavioral representation in modeling and simulation introduction to CMOT special issue—BRiMS 2010," Computational and Mathematical Organization Theory, Springer, vol. 17(3), pages 225-228, September.
    2. Frank E. Ritter & William G. Kennedy & Bradley J. Best, 2013. "The best papers from BRIMS 2011: models of users and teams interacting," Computational and Mathematical Organization Theory, Springer, vol. 19(3), pages 283-287, September.
    3. Matthew L. Bolton, 2013. "Automatic validation and failure diagnosis of human-device interfaces using task analytic models and model checking," Computational and Mathematical Organization Theory, Springer, vol. 19(3), pages 288-312, September.

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