Model validation efforts have only begun, and considerable work is still needed in this area.
Explore means of incorporating learning into situation awareness models as a means of both assessing the impact of expertise on situation awareness performance and "teaching" the model through repeated simulation exposures. For models based on expert systems, explore chunking mechanisms such as that used in Soar. For models based on case-based reasoning, learning comes as a direct result of recording past cases, so no technology development is required. For models based on belief networks, explore new learning techniques now being proposed that are based on sampled statistics derived from observed situations.
Explore means of incorporating the effects of stressors/moderators in situation awareness models. Conduct the behavioral research needed to identify across-model "mode switching" as a function of stressors, as well as within-model structural and/or parametric changes induced by stressors. Conduct concurrent model development and validation to implement stressor-induced changes in situation awareness behavior.
Expand model validation efforts across larger-scale simulations.
Conduct the basic research needed to support the development of team-centered situation awareness models, looking particularly at distributed cognition, shared mental models, and common frames of reference. Conduct concurrent model development for representing team situation awareness processes.