학술논문

Evaluating Navigation Techniques for 3D Graph Visualizations in Virtual Reality
Document Type
Conference
Source
2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA) Big Data Visual and Immersive Analytics (BDVA), 2018 International Symposium on. :1-10 Oct, 2018
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
General Topics for Engineers
Geoscience
Robotics and Control Systems
Signal Processing and Analysis
Navigation
Data visualization
Three-dimensional displays
Task analysis
Two dimensional displays
Teleportation
Resists
Language
Abstract
Research into how virtual reality (VR) can be a beneficial technology for new and emerging large, complex data visualizations for data scientists is ongoing. In this paper, we evaluate three-dimensional VR navigation technique for data visualizations and test their effectiveness with a large graph visualization. We evaluate two prominent navigation techniques employed in VR (Teleportation and One-Handed Flying) against two less common methods (Two-Handed Flying and Worlds In Miniature) and evaluate their performance and effectiveness through a series of tasks. We found Steering Patterns (One-Handed Flying and Two-Handed Flying) to be faster and preferred by participants for completing searching tasks in comparision to Teleportation. Worlds-In-Miniature was the least physically demanding of the navigations, and was preferred by participants for tasks that required an overview of the graph such as triangle counting.