An environment for integrating subjective and objective usability findings based on measures
| Autor: | Káthia Marçal de Oliveira, Ahlem Assila, Houcine Ezzedine |
|---|---|
| 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), Université de Sfax - University of Sfax |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Engineering
Cognitive walkthrough business.industry System usability scale Usability inspection 020207 software engineering Usability 0102 computer and information sciences 02 engineering and technology 01 natural sciences Usability lab Usability goals 010201 computation theory & mathematics Human–computer interaction Heuristic evaluation Usability engineering 0202 electrical engineering electronic engineering information engineering [INFO]Computer Science [cs] business |
| Zdroj: | 2016 IEEE Tenth International Conference on Research Challenges in Information Science (RCIS) 2016 IEEE Tenth International Conference on Research Challenges in Information Science (RCIS), Jun 2016, Grenoble, France. pp.1-12, ⟨10.1109/RCIS.2016.7549320⟩ RCIS |
| DOI: | 10.1109/RCIS.2016.7549320⟩ |
| Popis: | International audience; The last decade marked the development of a large number of tools for assessing the usability of user interfaces. Those tools are based on different subjective and objective methods. For obtaining a good assessment of usability, integrating findings in a single and complementary manner, is promising. In this paper, we present an evaluation support environment that addresses this issue. This environment is built on the concepts of measurement information model defined by ISO/IEC 15939 standard. This model goes from the collection of base measures extracted from specific evaluation tools to the definition of indicators. These indicators provide a basis framework that integrates measures and supports decision-making. The environment contributes to automate the collection and analysis of measures. Further, it supports the interpretation of results and allows detecting accurate usability problems. Finally, it gives some recommendations for enhancing user interfaces. The feasibility and the execution of the environment are presented into a case study for assessing a traffic supervision system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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