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Authors
Abstract(s)
Atualmente, a análise e a manipulação de dados são fundamentais para os trabalhadores
do conhecimento. Assim sendo, torna-se crucial desenvolver interações para a visualização de
dados, de modo a alavancar as capacidades de análise e a melhorar os fluxos de trabalho. Tais
interações podem ser compostas por interações de toque e de caneta.
Esta dissertação propõe um método de interação para visualizações de dados: a interação
bimanual de toque e de caneta. Para este método de interação foram desenvolvidas quatro
ações. Estas ações são reconhecidas por uma aplicação que converte as ações do utilizador
em reações nas visualizações de dados. Fez-se um pequeno estudo de bibliotecas de
visualização, no qual avaliou-se as bibliotecas amCharts, AnyChart, D3.js, LargeVis e VTK.
Este sistema e os métodos de interação desenvolvidos foram alvo de um processo de
avaliação, a partir do qual foi possível avaliar a viabilidade deste tipo de interação neste
contexto. Foi possível determinar que este tipo de interação é praticamente igual em termos
de análise das visualizações, mas que apresenta uma menor usabilidade e um maior tempo
para realizar as tarefas, quando comparada com a interação com o rato e o teclado.
Nowadays, data analysis and manipulation are fundamental for data analysts and other people that analyse data at their jobs. As such, it becomes crucial to develop interactions for data visualization in such a way that it leverages the capabilities of analysis and increasing workflow. These interactions can be comprised of pen and touch based interactions. This dissertation proposes an interaction method for information visualization: the pen and touch bimanual interaction. For this method of interaction, it was developed four actions. These actions are recognized by an application that converts the actions performed by the user into reactions on the data visualization. Furthermore, a small evaluation of data visualization libraries was conducted, in which the libraries: amCharts, AnyChart, D3.js, LargeVis and VTK were evaluated. The developed system and its interactions underwent a user study, after which it was possible to evaluate the viability of this type of interactions in the context of information visualization. It was possible to determine that this type of interaction is practically the same in the analysis of the data visualizations but has a lower level of usability and an increased time to complete tasks when compared with mouse and keyboard interaction.
Nowadays, data analysis and manipulation are fundamental for data analysts and other people that analyse data at their jobs. As such, it becomes crucial to develop interactions for data visualization in such a way that it leverages the capabilities of analysis and increasing workflow. These interactions can be comprised of pen and touch based interactions. This dissertation proposes an interaction method for information visualization: the pen and touch bimanual interaction. For this method of interaction, it was developed four actions. These actions are recognized by an application that converts the actions performed by the user into reactions on the data visualization. Furthermore, a small evaluation of data visualization libraries was conducted, in which the libraries: amCharts, AnyChart, D3.js, LargeVis and VTK were evaluated. The developed system and its interactions underwent a user study, after which it was possible to evaluate the viability of this type of interactions in the context of information visualization. It was possible to determine that this type of interaction is practically the same in the analysis of the data visualizations but has a lower level of usability and an increased time to complete tasks when compared with mouse and keyboard interaction.
Description
Keywords
Visualizações de dados Interação humano Computador Interação bimanual Interação com tablets Information visualization Human-computer interaction Bimanual interaction Interaction with tablets Engenharia Informática . Faculdade de Ciências Exatas e da Engenharia