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dc.rights.licenseAttribution 4.0 International*
dc.contributor.authorCarrera-Rivera, Angela
dc.contributor.authorReguera-Bakhache, Daniel
dc.contributor.authorLarrinaga, Felix
dc.contributor.authorLasa, Ganix
dc.contributor.authorGaritano, Iñaki
dc.date.accessioned2024-04-09T08:38:07Z
dc.date.available2024-04-09T08:38:07Z
dc.date.issued2023
dc.identifier.issn2052-4463en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=174460en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6330
dc.description.abstractThis article introduces a dataset of human-machine interactions collected in a controlled and structured manner. The aim of this dataset is to provide insights into user behavior and support the development of adaptive Human-Machine Interfaces (HMIs). The dataset was generated using a custom-built application that leverages formally defined User Interfaces (UIs). The resulting interactions underwent processing and analysis to create a suitable dataset for professionals and data analysts interested in user interface adaptations. The data processing stage involved cleaning the data, ensuring its consistency and completeness. A data profiling analysis was conducted for checking the consistency of elements in the interaction sequences. Furthermore, for the benefit of researchers, the code used for data collection, data profiling, and usage notes on creating adaptive user interfaces are made available. These resources offer valuable support to those interested in exploring and utilizing the dataset for their research and development efforts in the field of human-machine interfaces.en
dc.language.isoengen
dc.publisherSpringer Natureen
dc.rights© 2023 The Authorsen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleStructured dataset of human-machine interactions enabling adaptive user interfacesen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceScientific Dataen
local.contributor.groupIngeniería del software y sistemases
local.contributor.groupAnálisis de datos y ciberseguridades
local.contributor.groupCentro de Innovación en Diseñoes
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.1038/s41597-023-02741-8en
local.rights.publicationfeeAPCen
local.rights.publicationfeeamount1820 EURen
local.source.detailsVol. 10. N. art. 831
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501en
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85en
oaire.funderNameComisión Europeaen
oaire.funderNameGobierno Vascoen
oaire.funderNameGobierno Vascoen
oaire.funderIdentifierhttps://ror.org/00k4n6c32 / http://data.crossref.org/fundingdata/funder/10.13039/501100000780en
oaire.funderIdentifierhttps://ror.org/00pz2fp31 / http://data.crossref.org/fundingdata/funder/10.13039/501100003086en
oaire.fundingStreamH2020en
oaire.fundingStreamIkertalde Convocatoria 2022-2025en
oaire.fundingStreamIkertalde Convocatoria 2022-2023en
oaire.awardNumber814078en
oaire.awardNumberIT1676-22en
oaire.awardNumberIT1519-22en
oaire.awardTitleDigital Manufacturing and Design Training Network (DiManD)en
oaire.awardTitleGrupo de sistemas inteligentes para sistemas industrialesen
oaire.awardTitleIngeniería de Software y Sistemasen
oaire.awardURIhttps://doi.org/10.3030/814078en
oaire.awardURISin informaciónen
oaire.awardURISin informaciónen


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