We applied the cognitive systems engineering (CSE)/ecological interface design (EID) approach to the work domain of flexible manufacturing systems (FMS). Work domain analyses (WDA) and activity analyses were conducted. Previous concerns regarding the suitability of CSE for FMS are addressed. Principles of EID (i.e., direct perception, direct manipulation, and visual momentum) were applied in designing an ecological interface for a flexible manufacturing system (EcoFlex). The critical links between the products of a WDA and the content of an ecological interface (a key innovation of EID) are made explicit. The evaluations of this interface were very positive across a wide variety of traditional and novel dependent variables (please see the companion manuscript). The overall success of this research program clearly demonstrates that the CSE/EID approach is capable of being applied to FMS. Contributions of this manuscript include both theoretical insights (defining properties of the FMS work domain, concrete examples of the principles of EID, critical links between CSE and EID, resolution of concerns about the overall framework) and practical applications (specific design solutions for FMS and similar work domains, and successful examples of the CSE/EID approach which can be studied and leveraged by students).

The cognitive systems engineering (CSE)/ecological interface design (EID) approach was applied in developing decision support for the flexible manufacturing system (FMS) work domain. Four interfaces were designed via the factorial application/non-application of direct perception (DP) and direct manipulation (DM). The capability of these interfaces to support performance in a simulated FMS was evaluated using a variety of traditional and novel dependent variables. The ecological interface (with DP, DM and an intact perception-action loop) provided clearly superior decision support (32 favorable significant results) relative to the other three interfaces (a combined total of 28 favorable significant results). The novel dependent variables were very sensitive. The results are interpreted from three different perspectives: traditional EID, the quality of constraint matching between triadic system components and closed-loop, dynamical control systems. The rationale for an expanded theoretical framework which complements, but does not replace, the original principles of CSE/EID is discussed. The potential for both specific interface features and novel dependent variables to generalize to real-world FMS applications is addressed. The expanded theoretical framework is universally relevant for the development of decision making and problem solving support in all computer-mediated work domains.