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An empirical methodology for human integration in the SE technical processes

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  • Nicholas Hardman
  • John Colombi

Abstract

This research examines quantitative methods to better integrate human considerations into early system design. Studies show that for human systems integration (HSI) concerns, systems engineers often rely on qualitative judgments or delay critical decisions until late in the system lifecycle; actions that have predictable cost, schedule, and performance consequences. Thus, empirical and quantifiable methods were pursued to improve the engineering of human HSI. These methods are mathematically rigorous, grounded in relevant theory, and apply human subjects data to critical systems development challenges. Their utility is demonstrated by application in support of three systems engineering activities: requirements elicitation, functional allocation, and user interface design. Together, they demonstrate a coherent approach to integrate human considerations into early system development—a key tenet of the INCOSE SE Handbook. © 2012 Wiley Periodicals, Inc. Syst Eng

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  • Nicholas Hardman & John Colombi, 2012. "An empirical methodology for human integration in the SE technical processes," Systems Engineering, John Wiley & Sons, vol. 15(2), pages 172-190, June.
  • Handle: RePEc:wly:syseng:v:15:y:2012:i:2:p:172-190
    DOI: 10.1002/sys.20201
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    File URL: https://doi.org/10.1002/sys.20201
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    Cited by:

    1. Erjavac, Anthony J. & Iammartino, Ronald & Fossaceca, John M., 2018. "Evaluation of preconditions affecting symptomatic human error in general aviation and air carrier aviation accidents," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 156-163.
    2. Michael Watson & Christina Rusnock & Michael Miller & John Colombi, 2017. "Informing System Design Using Human Performance Modeling," Systems Engineering, John Wiley & Sons, vol. 20(2), pages 173-187, March.

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