dc.contributor.author |
Diego-Mas, Jose Antonio
|
es_ES |
dc.contributor.author |
Garzon Leal, Diana
|
es_ES |
dc.contributor.author |
Poveda Bautista, Rocio
|
es_ES |
dc.contributor.author |
Alcaide Marzal, Jorge
|
es_ES |
dc.date.accessioned |
2020-10-30T04:32:29Z |
|
dc.date.available |
2020-10-30T04:32:29Z |
|
dc.date.issued |
2019-07 |
es_ES |
dc.identifier.issn |
0003-6870 |
es_ES |
dc.identifier.uri |
http://hdl.handle.net/10251/153689 |
|
dc.description.abstract |
[EN] Establishing the best layout configuration for software-generated interfaces and control panels is a complex problem when they include many controls and indicators. Several methods have been developed for arranging the interface elements; however, the results are usually conceptual designs that must be manually adjusted to obtain layouts valid for real situations. Based on these considerations, in this work we propose a new automatized procedure to obtain optimal layouts for software-based interfaces. Eye-tracking and mouse-tracking data collected during the use of the interface is used to obtain the best configuration for its elements. The solutions are generated using a slicing-trees based genetic algorithm. This algorithm is able to obtain really applicable configurations that respect the geometrical restrictions of elements in the interface. Results show that this procedure increases effectiveness, efficiency and satisfaction of the users when they interact with the obtained interfaces. |
es_ES |
dc.description.sponsorship |
This work was supported by the Programa estatal de investigacion, desarrollo e innovacion orientada a los retos de la sociedad of the Government of Spain under Grant DPI 2016-79042-R. |
es_ES |
dc.language |
Inglés |
es_ES |
dc.publisher |
Elsevier |
es_ES |
dc.relation.ispartof |
Applied Ergonomics |
es_ES |
dc.rights |
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) |
es_ES |
dc.subject |
Interfaces |
es_ES |
dc.subject |
Layout |
es_ES |
dc.subject |
Eye-tracking |
es_ES |
dc.subject |
Genetic algorithms |
es_ES |
dc.subject.classification |
PROYECTOS DE INGENIERIA |
es_ES |
dc.title |
User-interfaces layout optimization using eye-tracking, mouse movements and genetic algorithms |
es_ES |
dc.type |
Artículo |
es_ES |
dc.identifier.doi |
10.1016/j.apergo.2019.03.004 |
es_ES |
dc.relation.projectID |
info:eu-repo/grantAgreement/MINECO//DPI2016-79042-R/ES/NUEVAS TECNOLOGIAS APLICADAS A LA FORMACION DE TRABAJADORES PARA LA PREVENCION DE LOS TRASTORNOS MUSCULO-ESQUELETICOS/ |
es_ES |
dc.rights.accessRights |
Abierto |
es_ES |
dc.contributor.affiliation |
Universitat Politècnica de València. Departamento de Proyectos de Ingeniería - Departament de Projectes d'Enginyeria |
es_ES |
dc.description.bibliographicCitation |
Diego-Mas, JA.; Garzon Leal, D.; Poveda Bautista, R.; Alcaide Marzal, J. (2019). User-interfaces layout optimization using eye-tracking, mouse movements and genetic algorithms. Applied Ergonomics. 78:197-209. https://doi.org/10.1016/j.apergo.2019.03.004 |
es_ES |
dc.description.accrualMethod |
S |
es_ES |
dc.relation.publisherversion |
https://doi.org/10.1016/j.apergo.2019.03.004 |
es_ES |
dc.description.upvformatpinicio |
197 |
es_ES |
dc.description.upvformatpfin |
209 |
es_ES |
dc.type.version |
info:eu-repo/semantics/publishedVersion |
es_ES |
dc.description.volume |
78 |
es_ES |
dc.identifier.pmid |
31046951 |
es_ES |
dc.relation.pasarela |
S\392557 |
es_ES |
dc.contributor.funder |
Ministerio de Economía y Competitividad |
es_ES |