Model-Based Analysis

Model-based analyses allow us to derive quantifiable measures of performance for goal-oriented interactions with a user interface. By employing this technique, the efficiency of a user interface can be compared with alternative design proposals based on a model of users without the need to involve actual users. In some circumstances, a model-based analysis can thus be an interesting and cost-effective alternative to usability testing.

Due to their quantitative predictions, model-based analyses are an ideal starting point for a return-on-investment evaluation before a user interface design is implemented.

Efficiency as a basis for decision-makingSequence of user-system interaction

In a model-based analysis, the chronological sequence of user-system interaction is simulated on the basis of a validated cognitive model of human perception, thinking and action. 

The aim of this method is to predict the time needed to complete a sequence of routine steps to reach a goal using a particular user interface. Barriers can thus be identified and subsequently overcome with an optimized solution.  

Informed decision-making

With this method, concrete quantitative predictions can already be gained from early user interface prototypes and mock-ups. In various projects, ERGOSIGN's model-based analyses have been a crucial part of a return-on-investment evaluation informing decision-makers of the cost-benefit ratio of a potential redesign of a user interface.

Scientific foundationScientific foundation

Model-based analyses provided by ERGOSIGN rest on an adapted version of the well-known GOMS approach (Goals, Operators, Methods and Selection Rules) which has been validated in a great number of empirical studies. 

In order to reduce the effort of performing model-based analyses, we make use of a computer-based simulation system. In this way, model-based analysis is not just a valuable tool, but also a cost-effective facet of our analytical portfolio.