CAEVA: cognitive architecture to evaluate visualization applications

Proceedings on Seventh International Conference on Information Visualization, 2003. IV 2003. Pub Date : 2003-07-16 DOI:10.1109/IV.2003.1218045

Octavio H. Juarez-Espinosa

{"title":"CAEVA: cognitive architecture to evaluate visualization applications","authors":"Octavio H. Juarez-Espinosa","doi":"10.1109/IV.2003.1218045","DOIUrl":null,"url":null,"abstract":"We describe a cognitive architecture to evaluate visualization applications (CAEVA). This architecture requires gathering domain knowledge to adapt existing evaluation models to new domains and applications. This architecture has two main components: one for interoperability and one for cognitive models. The interoperability component uses client-server protocols. The cognitive component includes three subcomponents: knowledge about visualization, knowledge about the data domain, and knowledge about data analysis strategies. CAEVA was used to evaluate the visualizations generated to compare environmental products. The cognitive model is written in ACT-R and simulates how human beings use visualizations to perform data analysis tasks. The data produced by the simulation model is validated with empirical data obtained from human subjects performing the same task. The simulation model produces traces that allow researchers to analyze the strategies followed by the users in the task. The data produced by the model allowed us to study the learning process of visualization users.","PeriodicalId":259374,"journal":{"name":"Proceedings on Seventh International Conference on Information Visualization, 2003. IV 2003.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings on Seventh International Conference on Information Visualization, 2003. IV 2003.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IV.2003.1218045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 9

Abstract

We describe a cognitive architecture to evaluate visualization applications (CAEVA). This architecture requires gathering domain knowledge to adapt existing evaluation models to new domains and applications. This architecture has two main components: one for interoperability and one for cognitive models. The interoperability component uses client-server protocols. The cognitive component includes three subcomponents: knowledge about visualization, knowledge about the data domain, and knowledge about data analysis strategies. CAEVA was used to evaluate the visualizations generated to compare environmental products. The cognitive model is written in ACT-R and simulates how human beings use visualizations to perform data analysis tasks. The data produced by the simulation model is validated with empirical data obtained from human subjects performing the same task. The simulation model produces traces that allow researchers to analyze the strategies followed by the users in the task. The data produced by the model allowed us to study the learning process of visualization users.

查看原文本刊更多论文

CAEVA:评估可视化应用的认知架构

我们描述了一个评估可视化应用的认知架构(CAEVA)。该体系结构需要收集领域知识，以使现有的评估模型适应新的领域和应用程序。该体系结构有两个主要组件:一个用于互操作性，另一个用于认知模型。互操作性组件使用客户机-服务器协议。认知组件包括三个子组件:关于可视化的知识、关于数据领域的知识和关于数据分析策略的知识。CAEVA用于评估生成的可视化效果，以比较环境产品。认知模型是用ACT-R编写的，模拟人类如何使用可视化来执行数据分析任务。仿真模型产生的数据与执行相同任务的人类受试者的经验数据进行了验证。仿真模型产生的痕迹使研究人员能够分析用户在任务中遵循的策略。模型产生的数据让我们可以研究可视化用户的学习过程。

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分钟内获得全文求助全文

来源期刊

Proceedings on Seventh International Conference on Information Visualization, 2003. IV 2003.

自引率

0.00%

发文量