Human performance modeling for system of systems analytics.

Dixon, Kevin R. ; Lawton, Craig R. ; Basilico, Justin Derrick ; Longsine, Dennis E. (INTERA, Inc., Austin, TX) ; Forsythe, James Chris ; Gauthier, John Henry ; Le, Hai D.

Sandia National Laboratories

关键词: Probability;    Systems Analysis Human Behavior.;    99 General And Miscellaneous//Mathematics, Computing, And Information Science;    Human Factors;    Computerized Simulation;   

DOI  :  10.2172/971414
RP-ID  :  SAND2008-6892
RP-ID  :  AC04-94AL85000
RP-ID  :  971414

美国|英语

来源: UNT Digital Library

【 摘 要 】

A Laboratory-Directed Research and Development project was initiated in 2005 to investigate Human Performance Modeling in a System of Systems analytic environment. SAND2006-6569 and SAND2006-7911 document interim results from this effort; this report documents the final results. The problem is difficult because of the number of humans involved in a System of Systems environment and the generally poorly defined nature of the tasks that each human must perform. A two-pronged strategy was followed: one prong was to develop human models using a probability-based method similar to that first developed for relatively well-understood probability based performance modeling; another prong was to investigate more state-of-art human cognition models. The probability-based modeling resulted in a comprehensive addition of human-modeling capability to the existing SoSAT computer program. The cognitive modeling resulted in an increased understanding of what is necessary to incorporate cognition-based models to a System of Systems analytic environment.