Integrating GOMS models and logging methods into a single tool for evaluating the usability of intelligent systems

Usability evaluation methods can be classified as heuristic methods, subjective methods and empirical methods. This study looks at the integration of heuristic evaluation methods (GOMS) and empirical validation methods (jogging). The integration of these two methods allows us to obtain information which could not otherwise be obtained using the techniques separately, such as the results of a comparison of a priori predictions with real a posteriori data. The application described in this study has been integrated into the VISNU project, which aims to develop a tool to assist knowledge engineers in evaluating the validation and usability of intelligent systems.