Evaluation of Scientific Workflow Effectiveness for a Distributed Multi-User Multi-Platform Support System for Collaborative Visualization

Collaboration among research scientists across multiple types of visualizations and platforms is useful to enhance scientific workflow and lead to unique analysis and discovery. However, current analytic tools and visualization infrastructure lack sufficient capabilities to fully support collaboration across multiple types of visualizations, display/interactive systems, and geographically distributed researchers. We have combined, adapted, and enhanced several emerging immersive and visualization technologies into a novel collaboration system that will provide scientists with the ability to connect with other scientists to work together across multiple visualization platforms (i.e. stereoscopic versus monoscopic), multiple datasets (i.e. 3-Dimensional versus 2-Dimensional data), and multiple visualization techniques (i.e. volumetric rendering versus 2D plots). We have demonstrated several use cases of this system in materials science, manufacturing, planning, and others. In one such use case, our collaboration system imports material science data (i.e., graphite billet) and enable multiple scientists to analyze and explore the density change of graphite across immersive and non-immersive systems, which will help to understand the potential structural problem in it. We recruited scientists that work with the datasets we demonstrate in three use case scenarios and conducted an experimental user study to evaluate our novel collaboration system on scientific visualization workflow effectiveness. In this paper, we present the results on task completion time, task performance, user experience, and feedback among multiple and feedback among multiple geographically distributed collaborators using different multiple-platform for collaboration.