research-article

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

Authors:

James H. Money,

Amy BanicAuthors Info & Claims

PEARC '18: Proceedings of the Practice and Experience on Advanced Research Computing: Seamless Creativity

Article No.: 61, Pages 1 - 8

https://doi.org/10.1145/3219104.3229283

Published: 22 July 2018 Publication History

Abstract

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.

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Cited By

Friedl‐Knirsch JPointecker FPfistermüller SStach CAnthes CRoth D(2024)A Systematic Literature Review of User Evaluation in Immersive AnalyticsComputer Graphics Forum10.1111/cgf.1511143:3Online publication date: 10-Jun-2024
https://doi.org/10.1111/cgf.15111
Hopkins TWeng SVanukuru RWenzel EBanic AGross MDo E(2022)Studying the Effects of Network Latency on Audio-Visual Perception During an AR Musical Task2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR55827.2022.00016(26-34)Online publication date: Oct-2022
https://doi.org/10.1109/ISMAR55827.2022.00016
Gomes de Siqueira AFeijóo-García PStuart JLok B(2021)Toward Facilitating Team Formation and Communication Through Avatar Based Interaction in Desktop-Based Immersive Virtual EnvironmentsFrontiers in Virtual Reality10.3389/frvir.2021.6478012Online publication date: 13-Apr-2021
https://doi.org/10.3389/frvir.2021.647801
Show More Cited By

Index Terms

Evaluation of Scientific Workflow Effectiveness for a Distributed Multi-User Multi-Platform Support System for Collaborative Visualization
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Computer supported cooperative work
  2. Visualization
    1. Visualization application domains
      1. Scientific visualization

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cover image ACM Other conferences

PEARC '18: Proceedings of the Practice and Experience on Advanced Research Computing: Seamless Creativity

July 2018

652 pages

ISBN:9781450364461

DOI:10.1145/3219104

General Chair:
Sergiu Sanielevici
Pittsburgh Supercomputing Center

Copyright © 2018 ACM.

© 2018 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the United States Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 July 2018

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PEARC '18

PEARC '18: Practice and Experience in Advanced Research Computing

July 22 - 26, 2018

PA, Pittsburgh, USA

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PEARC '18 Paper Acceptance Rate 79 of 123 submissions, 64%;

Overall Acceptance Rate 133 of 202 submissions, 66%

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Cited By

Friedl‐Knirsch JPointecker FPfistermüller SStach CAnthes CRoth D(2024)A Systematic Literature Review of User Evaluation in Immersive AnalyticsComputer Graphics Forum10.1111/cgf.1511143:3Online publication date: 10-Jun-2024
https://doi.org/10.1111/cgf.15111
Hopkins TWeng SVanukuru RWenzel EBanic AGross MDo E(2022)Studying the Effects of Network Latency on Audio-Visual Perception During an AR Musical Task2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR55827.2022.00016(26-34)Online publication date: Oct-2022
https://doi.org/10.1109/ISMAR55827.2022.00016
Gomes de Siqueira AFeijóo-García PStuart JLok B(2021)Toward Facilitating Team Formation and Communication Through Avatar Based Interaction in Desktop-Based Immersive Virtual EnvironmentsFrontiers in Virtual Reality10.3389/frvir.2021.6478012Online publication date: 13-Apr-2021
https://doi.org/10.3389/frvir.2021.647801
Khadka RBanic A(2019)Body-Prop Interaction: Evaluation of Augmented Open Discs and Egocentric Body-Based Interaction2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)10.1109/VR.2019.8797684(1705-1710)Online publication date: Mar-2019
https://doi.org/10.1109/VR.2019.8797684

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