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| DOI | 10.1016/J.CSI.2019.04.004 | ||||
| Año | 2019 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
A heuristic evaluation method allows the evaluation of the usability of application domains. To evaluate applications that have specific domain features, researchers can use sets of specific usability heuristics in addition to the well-known (usually Nielsen's) heuristics. Heuristics can also focus on the User eXperience (UX) aspects other than the usability. In a previous work, we proposed a formal methodology for establishing usability/UX heuristics. The methodology has 8 stages including activities to formulate, specify, validate and refine a new set of heuristics for a specific application domain. The methodology was validated through expert opinion and several case studies. Although when specifying the methodology, we explained each of its stages in detail, some activities can be difficult to perform without a guide that helps the researcher determine how the stages should be carried out. This article presents a detailed explanation regarding how to apply each stage of the methodology to create a new set of heuristics for a specific domain. Additionally, this paper explains how to iterate the methodology's stages and when to stop the process of developing new heuristics.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | QUINONES-OTEY, DANIELA CONSTANZA | Mujer |
Pontificia Universidad Católica de Valparaíso - Chile
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| 2 | Rusu, Cristian E. | Hombre |
Pontificia Universidad Católica de Valparaíso - Chile
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| Agradecimiento |
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| The authors would like to thank all the participants (experts and researchers) who were involved in the experiments for this study, especially the members of the "UseCV" Research Group in Human Computer Interaction (School of Informatics Engineering, Pontificia Universidad Catolica de Valparaiso - Chile). We would also like to thank the experts Dania Delgado and Daniela Zamora who developed the heuristics for the national park websites for sharing their work. This work was supported by the Universidad de Playa Ancha, Valparaiso, Chile; we would like to thank Prof. Dr. Virginica Rusu and her students. |
| The authors would like to thank all the participants (experts and researchers) who were involved in the experiments for this study, especially the members of the “UseCV” Research Group in Human-Computer Interaction (School of Informatics Engineering, Pontificia Universidad Católica de Valparaíso – Chile). We would also like to thank the experts Dania Delgado and Daniela Zamora who developed the heuristics for the national park websites for sharing their work. This work was supported by the Universidad de Playa Ancha, Valparaíso, Chile; we would like to thank Prof. Dr. Virginica Rusu and her students. |