Quantifying the usability through a variant of the traditional heuristic evaluation process

Freddy Paz, Freddy A. Paz, Manuel Sánchez, Arturo Moquillaza, Luis Collantes

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferencia

12 Citas (Scopus)

Resumen

© 2018, Springer International Publishing AG, part of Springer Nature. Usability has become in an essential aspect for the success of E-Commerce applications, especially in the current context in which there is high competitiveness because of a large number of websites that are available on the Internet. However, there is little evidence in the literature about the existence of methods that allow specialists to measure the level of usability of the system interfaces through a quantitative approach. The advantage of obtaining a numeric value about the ease of use is the possibility to perform comparisons between different design proposals and determine the best alternative for a specific scenario. Likewise, a quantifying process of the level of usability provide companies with the necessary mechanism to establish the degree in which their web applications are more usable regarding other accessible websites in a highly competitive market. In this paper, we present the results of applying a variant to the traditional heuristic evaluation process to determine the usability degree of two web applications. This case study is intended to serve as a framework for specialists in this field that are interested in retrieving quantitative data in addition to the traditional usability issues that are identified.
Idioma originalInglés estadounidense
Título de la publicación alojadaQuantifying the usability through a variant of the traditional heuristic evaluation process
Páginas496-508
Número de páginas13
ISBN (versión digital)9783319917962
DOI
EstadoPublicada - 1 ene. 2018
EventoLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duración: 1 ene. 2018 → …

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen10918 LNCS
ISSN (versión impresa)0302-9743

Conferencia

ConferenciaLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Período1/01/18 → …

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