ABSTRACT
Measures enable all of the activities of cognitive systems engineering. They support the process of proficiency scaling and the study of apprentice-journeyman-expert development. This chapter shows advances in measurement for complex sociotechnical systems, and macrocognition, must generate novel, and even uncomfortable, ideas and methods. Most measures of human performance are measures of Hits, Errors, Accuracy, and Time (HEAT). One of the most common HEAT measures is 'number of sub-goals accomplished per unit time'. HEAT is inadequate for evaluating for the goodness of cognitive work. Therefore it is inadequate for the study of macrocognition. The study of macrocognitive phenomena are bound to hinge on multiple measures and compound measures that are interpreted so as to support convergence on statements about the cognitive work. In developing the measures, one searches for domain-specific or appropriate aspects of macrocognitive functions that can be used to evaluate hypotheses.
