ISISTAN   23985
INSTITUTO SUPERIOR DE INGENIERIA DEL SOFTWARE
Unidad Ejecutora - UE
artículos
Título:
Data-driven storytelling to support decision making in crisis settings: A case study
Autor/es:
IRRAZÁBAL, EMANUEL; JORGE ANDRES DIAZ PACE; AIRALDI, ANDREA LEZCANO
Revista:
JOURNAL OF UNIVERSAL COMPUTER SCIENCE
Editorial:
GRAZ UNIV TECHNOLGOY
Referencias:
Año: 2021 vol. 27 p. 1046 - 1068
ISSN:
0948-695X
Resumen:
Data-driven storytelling helps to communicate facts, easing comprehension and decision making, particularly in crisis settings such as the current COVID-19 pandemic. Several studies have reported on general practices and guidelines to follow in order to create effective narrative visualizations. However, research regarding the benefits of implementing those practices and guidelines in software development is limited. In this article, we present a case study that explores the benefits of including data visualization best practices in the development of a software system for the current health crisis. We performed a quantitative and qualitative analysis of sixteen graphs required by the system to monitor patients´ isolation and circulation permits in quarantine due to the COVID-19 pandemic. The results showed that the use of storytelling techniques in data visualization contributed to an improved decision-making process in terms of increasing information comprehension and memorability by the system stakeholders.