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...

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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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network_acronym_str UNBOSQUE2
network_name_str 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
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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
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dc.rights.creativecommons.none.fl_str_mv 2019
rights_invalid_str_mv Acceso cerrado
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2019
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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
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spelling 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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