Integration of Subjective and Objective Usability Evaluation Based on IEC/IEC 15939: A Case Study for Traffic Supervision Systems

Autor: Ahlem Assila, Houcine Ezzedine, Káthia Marçal de Oliveira
Přispěvatelé: Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH), Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Centre National de la Recherche Scientifique (CNRS)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: International Journal of Human-Computer Interaction
International Journal of Human-Computer Interaction, Taylor & Francis, 2016, 32 (12), pp.931-955. ⟨10.1080/10447318.2016.1220068⟩
ISSN: 1044-7318
1532-7590
DOI: 10.1080/10447318.2016.1220068⟩
Popis: International audience; Usability evaluation for interactive systems is one of the greatest interests for 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 kind of data (e.g., ordinal values from questionnaires, performance rates, etc.) generated from different methods and tools and related to different usability criteria. In this paper, 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 ISO/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.
Databáze: OpenAIRE