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Dissertação de Mestrado de Carlos Victor Quijano Chavez


Detalhes do Evento


DEFESA DE DISSERTAÇÃO DE MESTRADO

Aluno: Carlos Victor Quijano Chavez
Orientadora: Profa. Dra. Carla Maria Dal Sasso Freitas
Coorientadora: Profa. Dra. Luciana Porcher Nedel

Título: An Immersive Approach for Exploring Multiple Coordinated 3D Visualizations in Immersive Virtual Environments
Linha de Pesquisa: Interação Humano-Computador, Realidade Virtual e Aumentada

Data:  30/11/2021
Horário: 13h30min.

Esta banca ocorrerá excepcionalmente de forma totalmente remota. Interessados em assistir a defesa poderão acessar a sala virtual através do link: https://meet.google.com/dtf-yvea-oej

Banca Examinadora:
– Prof. Dr. Anderson Maciel (UFRGS)
– Prof. Dr. Marco Antonio Alba Winckler (UCA – Université Côte d’Azur)
– Prof. Dr. Marcos de Oliveira Lage Ferreira (UFF)

Presidente da Banca: Profa. Dra. Carla Maria Dal Sasso Freitas 

Abstract: Multiple coordinated views have often been used in visual analytics applications over the years. They are widely and successfully used on 2D displays, but the current multiple 3D visualizations in 2D conventional displays lack usability and do not guarantee the usefulness that the extra dimension would provide. Immersive visualization techniques can potentially fulfill these gaps by improving 3D visualizations with novel 3D interaction techniques. This dissertation presents studies that assess the approach we proposed for interacting with multiple coordinated visualizations in immersive virtual environments. We use a 3D-WIMP-like concept, which are virtual cubes that we call Spaces, for encapsulating views that the user can freely control in the virtual environment. A first user study was conducted to compare our immersive approach to a 3D desktop version for evaluating its performance when dealing with compound tasks. Results have shown that our approach has advantages since it allows a comfortable and precise exploration. Then, with the purpose of improving and expanding the Spaces approach, a second study was conducted to evaluate multiple coordinated 3D visualization techniques. We compared variants of 3D scatterplots like Animation, Overlaid Trails, and Small Multiples to assess the effectiveness of such techniques in immersive environments. Results have shown that Overlaid Trails perform the best time overall, followed by Animation and Small Multiples, while accuracy is task-dependent. We demonstrate in both studies that our approach presents good results in terms of user comfort and immersion and is potentially useful in solving analytical tasks.

Keywords: Multiple Coordinated Views. Immersive Analytics. Virtual Reality. Trends Visualization. 3D Visualizations.