Model-driven experiments for decision making teams

An approach for designing experiments on the effect of organizational structures and protocols on team performance is presented. The methodology is based on the use of a set of models for describing organizational architectures and a set of measures of performance. Analytical and simulation tools are used to test the proposed experimental paradigm and formulate hypotheses. The experimental design starts with the posing of the problems and issues for which data are to be collected. In the first stage, the theoretical analysis of the problem is carried out. The second stage is to design the actual experiment on the basis of the theoretical analysis and the hypotheses. In the third stage, the experimental data are analyzed so that the exponential results can be used to test the hypotheses. A comparison of the model predictions and the experimental result is carried out in the fourth stage. Performance is measured by the accuracy of the organizational response, the timeliness of the response, and the cognitive workload of individual human decision-makers