To ensure and improve the human–computer interaction in dynamic decision support systems based on knowledge discovery in data, our research context concerns the modeling of the decision‐maker behavior to accomplish complex dynamic decision‐making tasks and producing logically valid predictions.
The methodological contribution consists in designing visual KDD‐based Dynamic DSS using a cognitive model. We propose to adapt the well‐known Hoc and Amalberti model cognitive model under the KDD specificities.
The approach was applied in the medical domain for the fight against nosocomial infections in the ICU.
The evaluation of this proposal under the utility and usability dimensions shows satisfactory results.
