Grid-Group Cm-Alpha: performance prediction using environmental and cultural factors

Robert Woodley; Warren Noll; Katie Grantham Lough; Dan Krus

doi:10.1117/12.778713

1 May 2008 Grid-Group Cm-α: performance prediction using environmental and cultural factors

Robert Woodley, Warren Noll, Katie Grantham Lough, Dan Krus

Proceedings Volume 6964, Evolutionary and Bio-Inspired Computation: Theory and Applications II; 696404 (2008) https://doi.org/10.1117/12.778713
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

Many environments challenge human capabilities (e.g., situational stress, waiting, fatigue from long duty hours, etc.). The capability to measure and model the individual's human performance is an important first step in determining a person's or group's effectiveness in a particular situation. Human bias toward particular climates, favorite routines, capabilities and limitations strongly influence overall performance. However, the mission team and relationships amongst the team members adds a very import dimension to the performance during operations or simulations using models of humans. This paper presents the Grid-Group Cm-α method for predicting performance considering both environmental and cultural factors. The prediction method is based on Hooke's law which calculates the mechanical strain on a solid object given the applied physical stresses. Grid-Group Cm-α treats the specific cultural and environmental factors of a mission as applied stress on to the collection of individuals, the solid object. The collection of individuals has a given set of properties based on their culture and physical capacities. The resulting strain is estimated from these parameters and can be used to optimize group selection for mission objectives.

Citation Download Citation

Robert Woodley, Warren Noll, Katie Grantham Lough, and Dan Krus "Grid-Group Cm-α: performance prediction using environmental and cultural factors", Proc. SPIE 6964, Evolutionary and Bio-Inspired Computation: Theory and Applications II, 696404 (1 May 2008); https://doi.org/10.1117/12.778713

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