Improvements Needed in a Central Store of Human Performance Data

Abstract

A central data store represents an attempt to make quantitative information about human performance conveniently available for system planning, functions allocation, equipment design, selection and training, and evaluation. Major areas for future improvement of data store technology include establishment of a central function to integrate human performance data, quantification of meaningful categories of psychological processes, development of an error taxonomy, improved scaling of laboratory to operational performance, inclusion of new types of behavior, relating of conditions under which performance is accomplished to performance levels, and development of a basis for forecasting behavioral loading from early system information.