Integration Of Subjective And Objective Usability Evaluation Based On Iec/Iec 15939: A Case Study For Traffic Supervision Systems

Usability evaluation for interactive systems is one of the greatest interests for the Human-Computer Interaction community. To support this evaluation, several subjective and objective methods have been proposed and applied in academy and industry. In this context, usability evaluators usually work with a lot of and different kinds of data (e.g., ordinal values from questionnaires and performance rates) generated from different methods and tools and related to different usability criteria. In this article, we propose to integrate these data in a single way to better support the quality evaluators' decision-making for traffic supervision systems domain. We apply the measurement information model defined by IEC/IEC 15939 with the use of indicators in an interactive system evaluation environment. Four indicators are presented from their specifications to their application in the evaluation of a system from a company. These indicators integrate evaluation results from usability questionnaires, an automated ergonomic guidelines inspector, and an electronic informer.