A nine-step selection algorithm is described which relates personnel aptitude, experience, task and equipment complexity, and degree of proceduralization in a decision chain for choosing optimum combinations of job performance aids (JPAs) and training technologies. The algorithm has been useful in (1) identifying JPA research and technology gaps, (2) identifying candidate JPA systems for Navy personnel, maintenance and training tradeoff analyses, and (3) in selecting specific JPA systems for test and evaluation in the Navy Performance Aids Test and Evaluation project. The algorithm development has also included efforts to identify and evaluate specifications and guidelines available for JPA procurement/implementation and to highlight areas where information should be gathered for an integrated JPA/training/maintenance/personnel user handbook.
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