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Structured dataset of human-machine interactions enabling adaptive user interfaces

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 a...

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Autores principales: Carrera-Rivera, Angela, Reguera-Bakhache, Daniel, Larrinaga, Felix, Lasa, Ganix, Garitano, Iñaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10676433/
https://www.ncbi.nlm.nih.gov/pubmed/38007459
http://dx.doi.org/10.1038/s41597-023-02741-8
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author Carrera-Rivera, Angela
Reguera-Bakhache, Daniel
Larrinaga, Felix
Lasa, Ganix
Garitano, Iñaki
author_facet Carrera-Rivera, Angela
Reguera-Bakhache, Daniel
Larrinaga, Felix
Lasa, Ganix
Garitano, Iñaki
author_sort Carrera-Rivera, Angela
collection PubMed
description 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.
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spelling pubmed-106764332023-11-25 Structured dataset of human-machine interactions enabling adaptive user interfaces Carrera-Rivera, Angela Reguera-Bakhache, Daniel Larrinaga, Felix Lasa, Ganix Garitano, Iñaki Sci Data Data Descriptor 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. Nature Publishing Group UK 2023-11-25 /pmc/articles/PMC10676433/ /pubmed/38007459 http://dx.doi.org/10.1038/s41597-023-02741-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Carrera-Rivera, Angela
Reguera-Bakhache, Daniel
Larrinaga, Felix
Lasa, Ganix
Garitano, Iñaki
Structured dataset of human-machine interactions enabling adaptive user interfaces
title Structured dataset of human-machine interactions enabling adaptive user interfaces
title_full Structured dataset of human-machine interactions enabling adaptive user interfaces
title_fullStr Structured dataset of human-machine interactions enabling adaptive user interfaces
title_full_unstemmed Structured dataset of human-machine interactions enabling adaptive user interfaces
title_short Structured dataset of human-machine interactions enabling adaptive user interfaces
title_sort structured dataset of human-machine interactions enabling adaptive user interfaces
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10676433/
https://www.ncbi.nlm.nih.gov/pubmed/38007459
http://dx.doi.org/10.1038/s41597-023-02741-8
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