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Title
Structured dataset of human-machine interactions enabling adaptive user interfacesResearch Group
Ingeniería del software y sistemasAnálisis de datos y ciberseguridad
Centro de Innovación en Diseño
Version
http://purl.org/coar/version/c_970fb48d4fbd8a85
Rights
© 2023 The AuthorsAccess
http://purl.org/coar/access_right/c_abf2Publisher’s version
https://doi.org/10.1038/s41597-023-02741-8Published at
Scientific Data Vol. 10. N. art. 831Publisher
Springer NatureAbstract
This 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 devel ... [+]
This 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. [-]
xmlui.dri2xhtml.METS-1.0.item-oaire-funderName
Comisión EuropeaGobierno Vasco
Gobierno Vasco
xmlui.dri2xhtml.METS-1.0.item-oaire-fundingStream
H2020Ikertalde Convocatoria 2022-2025
Ikertalde Convocatoria 2022-2023
xmlui.dri2xhtml.METS-1.0.item-oaire-awardNumber
814078IT1676-22
IT1519-22
xmlui.dri2xhtml.METS-1.0.item-oaire-awardURI
https://doi.org/10.3030/814078Sin información
Sin información
xmlui.dri2xhtml.METS-1.0.item-oaire-awardTitle
Digital Manufacturing and Design Training Network (DiManD)Grupo de sistemas inteligentes para sistemas industriales
Ingeniería de Software y Sistemas
Collections
- Articles - Engineering [639]
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