Lessons from a comparison of work domain models: representational choices and their implications.
As methods in cognitive work analysis become more widely applied, questions regarding the impact of modeling choices and similarities in modeling efforts across projects and domains are increasingly relevant. However, no explicit comparison of models of similar systems has been reported. This paper compares independently developed work domain analysis (WDA) models of two command and control environments. Similarities in model content and the types of nodes included provide evidence that WDA techniques can capture fundamental elements regarding purposes and constraints. These points of agreement provide a common starting point for developing work domain representations of military command and control systems. The comparison also revealed differences between the models. Although differences in content reflected differences in scope of coverage and level of detail, other differences corresponded to more fundamental choices in modeling approach. These included the treatment of sensors, level of integration in the model, and representation of particular abstract constraints. Examination of these more fundamental differences pointed to important degrees of freedom in how to represent a WDA and clarified the implications of these modeling choices for guiding design. Actual or potential applications of this research include aiding analysts in making work domain modeling choices as well as producing work domain models of command and control environments.
Burns
Catherine M
CM
Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada. c4burns@uwaterloo.ca
Bisantz
Ann M
AM
Roth
Emilie M
EM
D002755:Choice Behavior / Q000502:physiology*; D003657:Decision Making; D006801:Humans; D008962:Models, Theoretical; D011340:Problem Solving; D013647:Task Performance and Analysis; D014937:Work / Q000523:psychology*; D014938:Work Capacity Evaluation