User-interfaces layout optimization using eye-tracking, mouse movements and genetic algorithms
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...
- Autores:
-
Diego-Mas, Jose Antonio
Garzón Leal, Diana Carolina
Poveda-Bautista, Rocío
Alcaide-Marzal, Jorge
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad El Bosque
- Repositorio:
- Repositorio U. El Bosque
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.unbosque.edu.co:20.500.12495/2388
- Acceso en línea:
- http://hdl.handle.net/20.500.12495/2388
https://doi.org/10.1016/j.apergo.2019.03.004
- Palabra clave:
- Genética
Equipos y suministros
Monitoreo
Interfaces
Layout
Eye-tracking
- Rights
- License
- Acceso cerrado
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UNBOSQUE2 |
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Repositorio U. El Bosque |
repository_id_str |
|
dc.title.spa.fl_str_mv |
User-interfaces layout optimization using eye-tracking, mouse movements and genetic algorithms |
dc.title.translated.none.fl_str_mv |
User-interfaces layout optimization using eye-tracking, mouse movements and genetic algorithms |
title |
User-interfaces layout optimization using eye-tracking, mouse movements and genetic algorithms |
spellingShingle |
User-interfaces layout optimization using eye-tracking, mouse movements and genetic algorithms Genética Equipos y suministros Monitoreo Interfaces Layout Eye-tracking |
title_short |
User-interfaces layout optimization using eye-tracking, mouse movements and genetic algorithms |
title_full |
User-interfaces layout optimization using eye-tracking, mouse movements and genetic algorithms |
title_fullStr |
User-interfaces layout optimization using eye-tracking, mouse movements and genetic algorithms |
title_full_unstemmed |
User-interfaces layout optimization using eye-tracking, mouse movements and genetic algorithms |
title_sort |
User-interfaces layout optimization using eye-tracking, mouse movements and genetic algorithms |
dc.creator.fl_str_mv |
Diego-Mas, Jose Antonio Garzón Leal, Diana Carolina Poveda-Bautista, Rocío Alcaide-Marzal, Jorge |
dc.contributor.author.none.fl_str_mv |
Diego-Mas, Jose Antonio Garzón Leal, Diana Carolina Poveda-Bautista, Rocío Alcaide-Marzal, Jorge |
dc.contributor.orcid.none.fl_str_mv |
Garzón Leal, Diana Carolina [0000-0002-9428-423X] |
dc.subject.decs.spa.fl_str_mv |
Genética Equipos y suministros Monitoreo |
topic |
Genética Equipos y suministros Monitoreo Interfaces Layout Eye-tracking |
dc.subject.keywords.spa.fl_str_mv |
Interfaces Layout Eye-tracking |
description |
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. |
publishDate |
2019 |
dc.date.issued.none.fl_str_mv |
2019 |
dc.date.accessioned.none.fl_str_mv |
2020-04-24T23:52:49Z |
dc.date.available.none.fl_str_mv |
2020-04-24T23:52:49Z |
dc.type.spa.fl_str_mv |
article |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.local.spa.fl_str_mv |
artículo |
dc.identifier.issn.none.fl_str_mv |
1872-9126 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12495/2388 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1016/j.apergo.2019.03.004 |
dc.identifier.instname.spa.fl_str_mv |
instname:Universidad El Bosque |
dc.identifier.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional Universidad El Bosque |
dc.identifier.repourl.none.fl_str_mv |
repourl:https://repositorio.unbosque.edu.co |
identifier_str_mv |
1872-9126 instname:Universidad El Bosque reponame:Repositorio Institucional Universidad El Bosque repourl:https://repositorio.unbosque.edu.co |
url |
http://hdl.handle.net/20.500.12495/2388 https://doi.org/10.1016/j.apergo.2019.03.004 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartofseries.spa.fl_str_mv |
Applied ergonomics, 1872-9126, Vol. 78, 2019, p. 197-209 |
dc.relation.uri.none.fl_str_mv |
https://www.sciencedirect.com/science/article/abs/pii/S0003687019300572?via%3Dihub |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.local.spa.fl_str_mv |
Acceso cerrado |
dc.rights.accessrights.none.fl_str_mv |
http://purl.org/coar/access_right/c_abf122 |
dc.rights.creativecommons.none.fl_str_mv |
2019 |
rights_invalid_str_mv |
Acceso cerrado http://purl.org/coar/access_right/c_abf122 2019 http://purl.org/coar/access_right/c_abf2 |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Elsevier |
dc.publisher.journal.spa.fl_str_mv |
Applied ergonomics |
institution |
Universidad El Bosque |
bitstream.url.fl_str_mv |
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Diego-Mas, Jose AntonioGarzón Leal, Diana CarolinaPoveda-Bautista, RocíoAlcaide-Marzal, JorgeGarzón Leal, Diana Carolina [0000-0002-9428-423X]2020-04-24T23:52:49Z2020-04-24T23:52:49Z20191872-9126http://hdl.handle.net/20.500.12495/2388https://doi.org/10.1016/j.apergo.2019.03.004instname:Universidad El Bosquereponame:Repositorio Institucional Universidad El Bosquerepourl:https://repositorio.unbosque.edu.coapplication/pdfengElsevierApplied ergonomicsApplied ergonomics, 1872-9126, Vol. 78, 2019, p. 197-209https://www.sciencedirect.com/science/article/abs/pii/S0003687019300572?via%3DihubUser-interfaces layout optimization using eye-tracking, mouse movements and genetic algorithmsUser-interfaces layout optimization using eye-tracking, mouse movements and genetic algorithmsarticleartículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501GenéticaEquipos y suministrosMonitoreoInterfacesLayoutEye-trackingEstablishing 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. 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