GoCrystal: A gamified visual analytics tool for analysis and visualization of atomic configurations and thermodynamic energy models

In this article, we present GoCrystal, a new visual analytics tool for analysis and visualization of atomic configurations and thermodynamic energy models. GoCrystal’s primary objective is to support the visual analytics tasks for finding and understanding favorable atomic patterns in a lattice usin...

Full description

Saved in:
Bibliographic Details
Published inInformation visualization Vol. 19; no. 4; pp. 296 - 317
Main Authors Chung, Haeyong, Nandhakumar, Santhosh, Vasu, Gopinath Polasani, Vickers, Austin, Lee, Eunseok
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.10.2020
SAGE PUBLICATIONS, INC
Subjects
Configurations
Energy modeling
Free energy
Gamification
Mathematical analysis
Thermodynamics
Visual tasks
Visualization
gamification
materials informatics
thermodynamic energy
Visual analytics
atomic configuration
materials science
Online AccessGet full text

Cover

More Information
Summary:In this article, we present GoCrystal, a new visual analytics tool for analysis and visualization of atomic configurations and thermodynamic energy models. GoCrystal’s primary objective is to support the visual analytics tasks for finding and understanding favorable atomic patterns in a lattice using gamification. We believe the performance of visual analytics tasks can be improved by employing gamification features. Careful research was conducted in an effort to determine which gamification features would be more applicable for analyzing and exploring atomic configurations and their associated thermodynamic free energy. In addition, we conducted a user study to determine the effectiveness of GoCrystal and its gamification features in achieving this goal, comparing with a conventional visual analytics model without gamification as a control group. Finally, we report the results of the user study and demonstrate the impact that gamification features have on the performance and time necessary to understand atomic configurations.
ISSN:1473-8716
1473-8724
DOI:10.1177/1473871620925821