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Opportunity at Davies Teaching Fellowships (ARL/USMA)

Human Performance Modeling, Implementation, and Validation


MD and FL-Human Research & Engineering Dir-FFP, Human Research and Engineering Directorate - FFP

RO# Location
AA.27.01.B3134 Aberdeen Proving Ground, MD 210055425


Name E-mail Phone
Cassenti, Daniel Nicholas 410.278.5859


Models of human cognition and performance, by definition, are imperfect or limited representations of the real thing; however, for specific purposes, models can be quite adequate and, quite valuable. Some of these purposes include estimating human performance in the context of new system concepts, assessing expected performance under extreme or adverse conditions, safeguarding human test participants, and reducing test and experimentation costs. Research in this area can take any of the following perspectives: (1) how to elicit input from users to support the building of reliable, valid models; (2) how to represent performance degradation factors and interactions of various factors within models; (3) how to ascertain the utility of a given model and the impact of model deviations or sensitivities on design decision risk; (4) how to represent cognitive processes and performance better in military models and simulations, especially addressing the question of what is the required level of model fidelity or granularity for a given purpose; and (5) how to effectively and efficiently use modeling for system design and evaluation with respect to the system engineering process, from model development to the communication of model results and conclusions to the design community. Experimental methods consist of classic controlled experimentation, field research, and the employment of models in predictive and real-world validity assessments. Much of this research can be used in industry, for example, in medical systems research and development, and to help us understand the factors that affect basic human performance.


Human performance; Decision making; Models;


Citizenship:  Open to U.S. citizens
Level:  Open to Postdoctoral applicants
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