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Título
Information Dashboards and Tailoring Capabilities: A Systematic Literature Review
Autor(es)
Palabras clave
SLR
Systematic literature review
Tailoring
Custom
Personalized
Adaptive
Information dashboards
Clasificación UNESCO
1203.17 Informática
Fecha de publicación
2019
Citación
A. Vázquez-Ingelmo, F. J. García-Peñalvo and R. Therón, "Information Dashboards and Tailoring Capabilities - A Systematic Literature Review," IEEE Access, vol. 7, pp. 109673-109688, 2019. doi: 10.1109/ACCESS.2019.2933472.
Resumen
[EN]The design and development of information dashboards are not trivial. Several factors must be accounted; from the data to be displayed to the audience that will use the dashboard. However, the increase in popularity of these tools has extended their use in several and very different contexts among very different user pro les. This popularization has increased the necessity of building tailored displays focused on speci c requirements, goals, user roles, situations, domains, etc. Requirements are more sophisticated and varying; thus, dashboards need to match them to enhance knowledge generation and support more complex decision-making processes. This sophistication has led to the proposal of new approaches to address personal requirements and foster individualization regarding dashboards without involving high quantities of resources and long development processes. The goal of this work is to present a systematic review of the literature to analyze and classify the existing dashboard solutions that support
tailoring capabilities and the methodologies used to achieve them. The methodology follows the guidelines proposed by Kitchenham and other authors in the eld of software engineering. As results, 23 papers about tailored dashboards were retrieved. Three main approaches were identi ed regarding tailored solutions: customization, personalization, and adaptation. However, there is a wide variety of employed paradigms and features to develop tailored dashboards. The present systematic literature review analyzes challenges and issues regarding the existing solutions. It also identi es new research paths to enhance tailoring capabilities and thus, to improve user experience and insight delivery when it comes to visual analysis.
URI
DOI
10.1109/ACCESS.2019.2933472
Collections
- GRIAL. Artículos [441]