
Measurement
"Measurement" has been the key to scientific progress in many fields. We define measurement here to include measurement of performance and capacity for performance, as well as any ancillary attributes necessary to understand performance (such as attributes of structure). Furthermore,while there is often debate regarding "the right" level to measure, we understand measurement to be valuable at different hierarchical levels (e.g., the "elbow flexor" subsystem vs. measuring how well a person can drive - or the "driving system").
Enhancement
Finally, the term "enhancement" means improvement of performance relative to some initial reference point. There is much good work regarding what it takes to enhance human performance in certain areas. However, in fields such as rehabilitation, sports, and music there remains a considerable need to know how to efficiently enhance performance.
Modeling
"Modeling" is viewed to be synonymous with "understanding". We seek the ability to relate measurements made at one hierarchical level to another level within the human system. Reliable models provide the ability to explain and to predict. We envision, for example, models that tell us how much of a given performance capacity (e.g., strength, movement speed, visual information processing speed, positioning accuracy, etc. - of selected subsystems) is "required" to achieve a given level of performance in some high level task of interest (e.g., playing the cello, operating a robot, working as an engineer, etc.). Prior to some of our theoretical developments, it was not possible to state this vision clearly. The development of all such models is beyond the scope of a single institution. Based on our findings, however, we believe that it is feasible to create and demonstrate a methodology for the development of such models and to demonstrate their utility. In doing so, we hope to lead others to take on model development for specific applications.