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

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Information Visualization Pub Date : 2020-10-01 DOI:10.1177/1473871620925821
Haeyong Chung, Santhosh Nandhakumar, Gopinath Polasani Vasu, Austin Vickers, Eunseok Lee
{"title":"GoCrystal: A gamified visual analytics tool for analysis and visualization of atomic configurations and thermodynamic energy models","authors":"Haeyong Chung, Santhosh Nandhakumar, Gopinath Polasani Vasu, Austin Vickers, Eunseok Lee","doi":"10.1177/1473871620925821","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":50360,"journal":{"name":"Information Visualization","volume":"19 1","pages":"296 - 317"},"PeriodicalIF":1.8000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1473871620925821","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Visualization","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1177/1473871620925821","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
GoCrystal:一个游戏化的可视化分析工具,用于分析和可视化原子构型和热力学能量模型
在本文中,我们介绍了GoCrystal,一个新的可视化分析工具,用于分析和可视化原子构型和热力学能量模型。GoCrystal的主要目标是支持视觉分析任务,通过游戏化来寻找和理解晶格中有利的原子模式。我们相信视觉分析任务的性能可以通过使用游戏化功能得到改善。为了确定哪种游戏化特征更适用于分析和探索原子构型及其相关的热力学自由能,进行了仔细的研究。此外,我们进行了一项用户研究,以确定GoCrystal及其游戏化功能在实现这一目标方面的有效性,并与没有游戏化作为对照组的传统视觉分析模型进行了比较。最后,我们报告了用户研究的结果,并演示了游戏化特性对理解原子配置所需的性能和时间的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Information Visualization
Information Visualization COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
5.40
自引率
0.00%
发文量
16
审稿时长
>12 weeks
期刊介绍: Information Visualization is essential reading for researchers and practitioners of information visualization and is of interest to computer scientists and data analysts working on related specialisms. This journal is an international, peer-reviewed journal publishing articles on fundamental research and applications of information visualization. The journal acts as a dedicated forum for the theories, methodologies, techniques and evaluations of information visualization and its applications. The journal is a core vehicle for developing a generic research agenda for the field by identifying and developing the unique and significant aspects of information visualization. Emphasis is placed on interdisciplinary material and on the close connection between theory and practice. This journal is a member of the Committee on Publication Ethics (COPE).
期刊最新文献
Multidimensional data visualization and synchronization for revealing hidden pandemic information Interactive visual formula composition of multidimensional data classifiers Exploring annotation taxonomy in grouped bar charts: A qualitative classroom study Designing complex network visualisations using the wayfinding map metaphor Graph & Network Visualization and Beyond
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1