Kriativ-techVolume 1, Issue 1, March 2018, Pages: xxxReceived: Nov. 28, 2017;Accepted: Dec. 8, 2017;Published: Feb. 24, 2018

Authors

Sandra Pereira Gama, ISTEC – Departamento de Estudos e Investigação em Tecnologias de Informação e Sociedade, Professora Adjunta do ISTEC

Media

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To cite this article

Sandra Gama, Visualização de Informação para a Descoberta de Padrões PessoaisDOI: 10.31112/kriativ-tech-2018-01-07

Abstract

Nowadays, people have access to a variety of devices and applications to mediate their social interactions in any time and place. As a result, large amounts of information are generated which are not only heterogeneous but also dispersed, making it difficult to manage and analyze. Information Visualization presents a high potential to decrease cognitive load associated with data interpretation and to agglomerate information in a homogeneous way. Hence, it may potentially provide a comprehensive overview of such information, allowing users to understand their own patterns of social interaction in this personally relevant social context. This article introduces Trend Visualization (TreVi), which uses a variety of Information Visualization techniques to provide users with a unified view of their socially-generated personal information. It allows users to progressively explore the data in coherent and easily understandable items, allowing to maintain the context, while revealing personally relevant patterns.

Keywords

Information Visualization, Social Personal Information, User Interaction.

References

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