Development and Validation of Usability Heuristics for Evaluation of Interfaces in ATMs

Cristhian Chanco, Arturo Moquillaza, Freddy Paz

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferencia

3 Citas (Scopus)

Resumen

© 2019, Springer Nature Switzerland AG. ATM systems are part of the devices that have more managed approach and facilitate the use of financial services for people. However, on occasions, displayed interfaces can be frustrating to use. Usability is a principle that contemplates such situations, so it is necessary to have appropriate tools to evaluate ease of use on the products. For this reason, we present a revised version of eighteen usability heuristics proposed for ATM applications. In this paper, we describe the process that is followed from the collection of information, creation of the heuristic set, validation and refinement.
Idioma originalInglés estadounidense
Título de la publicación alojadaDevelopment and Validation of Usability Heuristics for Evaluation of Interfaces in ATMs
Páginas3-18
Número de páginas16
ISBN (versión digital)9783030235345
DOI
EstadoPublicada - 1 ene 2019
EventoLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duración: 1 ene 2019 → …

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen11586 LNCS
ISSN (versión impresa)0302-9743

Conferencia

ConferenciaLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Período1/01/19 → …

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    Chanco, C., Moquillaza, A., & Paz, F. (2019). Development and Validation of Usability Heuristics for Evaluation of Interfaces in ATMs. En Development and Validation of Usability Heuristics for Evaluation of Interfaces in ATMs (pp. 3-18). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11586 LNCS). https://doi.org/10.1007/978-3-030-23535-2_1