Extending a dashboard meta-model to account for users’ characteristics and goals for enhancing personalization

[EN]Information dashboards are useful tools for exploiting datasets and support decision-making processes. However, these tools are not trivial to design and build. Information dashboards not only involve a set of visualizations and handlers to manage the presented data, but also a set of users that...

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Detalles Bibliográficos
Autores: Vázquez Ingelmo, Andrea, García-Peñalvo, Francisco J., Therón Sánchez, Roberto, Conde González, Miguel Ángel
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Universidad de Salamanca (USAL)
Repositorio:GREDOS. Repositorio Institucional de la Universidad de Salamanca
OAI Identifier:oai:gredos.usal.es:10366/139803
Acceso en línea:http://hdl.handle.net/10366/139803
Access Level:acceso abierto
Palabra clave:Information Dashboards
Meta-model
Information Visualization
User Model
MDA
1203.17 Informática
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spelling Extending a dashboard meta-model to account for users’ characteristics and goals for enhancing personalizationVázquez Ingelmo, AndreaGarcía-Peñalvo, Francisco J.Therón Sánchez, RobertoConde González, Miguel ÁngelInformation DashboardsMeta-modelInformation VisualizationUser ModelMDA1203.17 Informática[EN]Information dashboards are useful tools for exploiting datasets and support decision-making processes. However, these tools are not trivial to design and build. Information dashboards not only involve a set of visualizations and handlers to manage the presented data, but also a set of users that will potentially benefit from the knowledge generated by interacting with the data. It is important to know and understand the requirements of the final users of a dashboard because they will influence the design processes. But several user profiles can be involved, making these processes even more complicated. This paper identifies and discusses why it is essential to include the final users when modeling a dashboard. Through meta-modeling, different characteristics of potential users are structured, thus obtaining a meta-model that dissects not only technical and functional features of a dashboard (from an abstract point of view) but also the different aspects of the final users that will make use of it. By identifying these user characteristics and by arranging them into a meta-model, software engineering paradigms such as model-driven development or software product lines can employ it as an input for generating concrete dashboard products. This approach could be useful for generating Learning Analytics dashboards that take into account the users' motivations, beliefs, and knowledge.M. Caeiro-Rodríguez, Á. Hernández-García and P. J. Muñoz-Merino, Eds201920192019info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10366/139803reponame:GREDOS. Repositorio Institucional de la Universidad de Salamancainstname:Universidad de Salamanca (USAL)InglésAtribución-NoComercial-CompartirIgual 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessoai:gredos.usal.es:10366/1398032026-06-07T06:28:51Z
dc.title.none.fl_str_mv Extending a dashboard meta-model to account for users’ characteristics and goals for enhancing personalization
title Extending a dashboard meta-model to account for users’ characteristics and goals for enhancing personalization
spellingShingle Extending a dashboard meta-model to account for users’ characteristics and goals for enhancing personalization
Vázquez Ingelmo, Andrea
Information Dashboards
Meta-model
Information Visualization
User Model
MDA
1203.17 Informática
title_short Extending a dashboard meta-model to account for users’ characteristics and goals for enhancing personalization
title_full Extending a dashboard meta-model to account for users’ characteristics and goals for enhancing personalization
title_fullStr Extending a dashboard meta-model to account for users’ characteristics and goals for enhancing personalization
title_full_unstemmed Extending a dashboard meta-model to account for users’ characteristics and goals for enhancing personalization
title_sort Extending a dashboard meta-model to account for users’ characteristics and goals for enhancing personalization
dc.creator.none.fl_str_mv Vázquez Ingelmo, Andrea
García-Peñalvo, Francisco J.
Therón Sánchez, Roberto
Conde González, Miguel Ángel
author Vázquez Ingelmo, Andrea
author_facet Vázquez Ingelmo, Andrea
García-Peñalvo, Francisco J.
Therón Sánchez, Roberto
Conde González, Miguel Ángel
author_role author
author2 García-Peñalvo, Francisco J.
Therón Sánchez, Roberto
Conde González, Miguel Ángel
author2_role author
author
author
dc.subject.none.fl_str_mv Information Dashboards
Meta-model
Information Visualization
User Model
MDA
1203.17 Informática
topic Information Dashboards
Meta-model
Information Visualization
User Model
MDA
1203.17 Informática
description [EN]Information dashboards are useful tools for exploiting datasets and support decision-making processes. However, these tools are not trivial to design and build. Information dashboards not only involve a set of visualizations and handlers to manage the presented data, but also a set of users that will potentially benefit from the knowledge generated by interacting with the data. It is important to know and understand the requirements of the final users of a dashboard because they will influence the design processes. But several user profiles can be involved, making these processes even more complicated. This paper identifies and discusses why it is essential to include the final users when modeling a dashboard. Through meta-modeling, different characteristics of potential users are structured, thus obtaining a meta-model that dissects not only technical and functional features of a dashboard (from an abstract point of view) but also the different aspects of the final users that will make use of it. By identifying these user characteristics and by arranging them into a meta-model, software engineering paradigms such as model-driven development or software product lines can employ it as an input for generating concrete dashboard products. This approach could be useful for generating Learning Analytics dashboards that take into account the users' motivations, beliefs, and knowledge.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019
2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10366/139803
url http://hdl.handle.net/10366/139803
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv Atribución-NoComercial-CompartirIgual 4.0 Internacional
http://creativecommons.org/licenses/by-nc-sa/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial-CompartirIgual 4.0 Internacional
http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv M. Caeiro-Rodríguez, Á. Hernández-García and P. J. Muñoz-Merino, Eds
publisher.none.fl_str_mv M. Caeiro-Rodríguez, Á. Hernández-García and P. J. Muñoz-Merino, Eds
dc.source.none.fl_str_mv reponame:GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname:Universidad de Salamanca (USAL)
instname_str Universidad de Salamanca (USAL)
reponame_str GREDOS. Repositorio Institucional de la Universidad de Salamanca
collection GREDOS. Repositorio Institucional de la Universidad de Salamanca
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301603

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