Cognitive systems engineering
Joint Cognitive Systems
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Motivation -- To provide visualizations that will support high-level decision makers in leveraging findings from analyses conducted using modelling and simulation techniques. Research approach -- Cognitive systems engineering methods were used to examine the decision making process as it exists today, identifying goals, challenges, and information needs at different phases. Findings/Design -- Decision makers will be better able to leverage findings from complex modelling and simulation analysis with tools that facilitate improved team communication and depiction of complex multivariate interactions via simplified, targeted visualizations. Research limitations/Implications -- This is ongoing work. The strengths and limitations of the design concepts have not yet been assessed experimentally. Originality/Value -- The design concepts resulting from this research have the potential to increase the accessibility of findings from complex multivariate analyses. Presenting results from modelling and simulation analyses in the form of actionable findings will likely increase the value of these powerful analytic tools. Take away message -- A key challenge to realizing the value of sophisticated modelling and simulation techniques is in creating effective visualizations for communicating complex multivariate relationships. Simple, familiar visualizations may be the most effective.