An Integrated Measurement Model for Evaluating Usability Attributes

Hasan, Lina A.; Al-Sarayreh, Khalid T.

doi:10.1145/2816839.2816861

Cited by 15 publications

(14 citation statements)

References 6 publications

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“…Develando los conceptos, se tiene que las pruebas de usabilidad son parte de las pruebas de aceptación del software y su temprana gestión reduce costos, tiempo, esfuerzos, recursos y el número de mantenimientos (Conexión ESAN, 2015) y (Lina A. Hasan, 2015) En relación con la evaluación de la usabilidad del sistema de inteligencia de negocios se determinó que: ▪ Más del 70% de los usuarios encuestados establecieron que el sistema siempre es fácil de aprender. ▪ En relación con la eficiencia del sistema, se tiene que este apoya y contribuye a la generación de indicadores de evaluación y de gestión académica.…”

Section: Discussionunclassified

“…El manejo de la usabilidad en una etapa temprana, lo que reduce el consumo de tiempo, esfuerzos y recursos (Lina A. Hasan, 2015) Por otro lado, la usabilidad se define como la medida de la calidad de la experiencia que tiene un usuario cuando interactúa con un sistema, para determinar que un sistema sea fácil de usar y aprender, sea eficiente en el uso de los elementos ofrecidos en pantalla y sea efectivo en el cumplimiento de las tareas que se pueden llevar a cabo a través de ella (Sánchez, 2011) Dentro de los factores que determinan la usabilidad podemos mencionar la accesibilidad, legibilidad, navegabilidad, facilidad de aprendizaje, velocidad de utilización, eficiencia del usuario y tasas de error (Sánchez, 2011). Según (Poropat, 2014), los factores que evalúan la usabilidad en los sistemas de inteligencia de negocios son: facilidad de aprendizaje del sistema, la eficiencia del sistema, la flexibilidad del sistema, la participación de los usuarios del sistema y la satisfacción del usuario.…”

Section: Introductionunclassified

“…• Satisfacción de los usuarios: Refleja el nivel de satisfacción de los usuarios a utilizar el sistema en un contexto particular (Lina A. Hasan, 2015). Evalúa la forma en que el usuario se sienta sobre el sistema y cuáles son sus opiniones, en el caso de los sistemas de inteligencia de negocios se en que grado afecta la capacidad de uso del sistema de BI.…”

Section: Introductionunclassified

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La usabilidad en los sistemas de inteligencia de negocios, un caso práctico

Guamán¹

2019

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La usabilidad de los sistemas de inteligencia de negocios se constituye en una prueba de aceptación fundamental del software por lo que es importante realizarla no solo para reducir errores sino también para reducir costes en mantenimiento y recursos, es por ello que en el presente trabajo de investigación se evaluó la usabilidad de un sistema de inteligencia de negocios desarrollado para la generación de indicadores de evaluación y gestión académica para lo cual se aplicó una encuesta a docentes encargados de los procesos de autoevaluación de carreras, como resultado se tiene que más del 70% de los usuarios se encuentran satisfechos con el sistema. Las pruebas de usabilidad son fundamentales al momento de evaluar la aceptación de un software.

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Section: Discussionunclassified

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La usabilidad en los sistemas de inteligencia de negocios, un caso práctico

Guamán¹

2019

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“…Originating from the revised version of ISO 9126 standard, ISO/IEC 25010 was first released in 2007 and finalized in 2011 [17]. ISO/IEC 25010 is released under the title "Systems and Software Quality Requirements and Evaluation (SQUARE)" which specifies quality of a software need to be examined through three life cycles, namely during product development, testing and usage of system in realistic context [18]. As with ISO 9126 model, ISO/IEC 25010 evaluate the quality of software from two perspectives: product quality model and quality in use [15].…”

Section: Iso/iec 25010:2011mentioning

confidence: 99%

Evaluating Quality Characteristics of Ubiquitous Application Through Means of Quality Models using Meta-metrics Approach

Hamzah

Chuprat

Handayani

et al. 2021

J. Phys.: Conf. Ser.

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Ubiquitous computing shifted the way how users interact with applications. The demand of information anytime and anywhere impacts the daily life of its users, be it work related or personal. Difficulty arises when determining the quality of ubiquitous application due to lack in appropriate metrics of quality models, which serves as the motivation behind this paper. The aim of this paper is to assess the quality of ubiquitous application using comparative analysis of quality model metrics via meta-metrics approach. Preliminary review mapping was conducted where distinctive quality characteristics of ubiquitous applications from AQUARIUM model are identified. Metrics mapping was then conducted to compare metrics characteristics with quality characteristics via value assignment using meta-metrics technique. Results shows that most of the metrics mapped are not of definitive derivation, providing opportunity to have a more structured and defined measurement function.

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“…The problems with current usability benchmarking tools for the eHealth context stem from a general lack of understanding of usability within the eHealth context [12]-eHealth usability. Many studies that attempt to classify usability factors for eHealth do so via a theoretical reclassification of earlier, traditional models [22][23][24][25][26][27]. This means that we merely rephrase or recategorize the same factors for eHealth instead of eliciting domain-specific usability factors.…”

Section: Introductionmentioning

confidence: 99%

Conceptualizing Usability for the eHealth Context: Content Analysis of Usability Problems of eHealth Applications

et al. 2021

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Background Usability tests can be either formative (where the aim is to detect usability problems) or summative (where the aim is to benchmark usability). There are ample formative methods that consider user characteristics and contexts (ie, cognitive walkthroughs, interviews, and verbal protocols). This is especially valuable for eHealth applications, as health conditions can influence user-system interactions. However, most summative usability tests do not consider eHealth-specific factors that could potentially affect the usability of a system. One of the reasons for this is the lack of fine-grained frameworks or models of usability factors that are unique to the eHealth domain. Objective In this study, we aim to develop an ontology of usability problems, specifically for eHealth applications, with patients as primary end users. Methods We analyzed 8 data sets containing the results of 8 formative usability tests for eHealth applications. These data sets contained 400 usability problems that could be used for analysis. Both inductive and deductive coding were used to create an ontology from 6 data sets, and 2 data sets were used to validate the framework by assessing the intercoder agreement. Results We identified 8 main categories of usability factors, including basic system performance, task-technology fit, accessibility, interface design, navigation and structure, information and terminology, guidance and support, and satisfaction. These 8 categories contained a total of 21 factors: 14 general usability factors and 7 eHealth-specific factors. Cohen κ was calculated for 2 data sets on both the category and factor levels, and all Cohen κ values were between 0.62 and 0.67, which is acceptable. Descriptive analysis revealed that approximately 69.5% (278/400) of the usability problems can be considered as general usability factors and 30.5% (122/400) as eHealth-specific usability factors. Conclusions Our ontology provides a detailed overview of the usability factors for eHealth applications. Current usability benchmarking instruments include only a subset of the factors that emerged from our study and are therefore not fully suited for summative evaluations of eHealth applications. Our findings support the development of new usability benchmarking tools for the eHealth domain.

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An Integrated Measurement Model for Evaluating Usability Attributes

Cited by 15 publications

References 6 publications

La usabilidad en los sistemas de inteligencia de negocios, un caso práctico

La usabilidad en los sistemas de inteligencia de negocios, un caso práctico

Evaluating Quality Characteristics of Ubiquitous Application Through Means of Quality Models using Meta-metrics Approach

Conceptualizing Usability for the eHealth Context: Content Analysis of Usability Problems of eHealth Applications

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