{"title":"特征驱动叙事在三维时变数据可视化中的有效性","authors":"Li Yu, Lane Harrison, Aidong Lu","doi":"10.2352/ISSN.2470-1173.2017.1.VDA-393","DOIUrl":null,"url":null,"abstract":"Storytelling animation has a great potential to be widely adopted by domain scientists for exploring trends in scientific simulations. However, due to the dynamic nature and generation methods of animations, serious concerns have been raised regarding their effectiveness for analytical tasks. This has led to interactive techniques often being favored over animations, as they provide the user with complete control over the visualization. This trend in scientific visualization design has not yet considered newer algorithmic animation generation methods that are driven by the automatic analysis of data features and storytelling techniques. In this work, we performed an experiment which compares feature-driven storytelling animations to common interactive visualization techniques for time-varying scientific simulations. We discuss the design of the experiment, including tasks for storm-surge analysis that are representative of common scientific visualization projects. Our results illustrate the relative advantages of both feature-driven storytelling animations and interactive visualizations, which may provide useful design guidelines for future storytelling and scientific visualization techniques.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"2001 1","pages":"99-109"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Effectiveness of Feature-Driven Storytelling in 3D Time-Varying Data Visualization\",\"authors\":\"Li Yu, Lane Harrison, Aidong Lu\",\"doi\":\"10.2352/ISSN.2470-1173.2017.1.VDA-393\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Storytelling animation has a great potential to be widely adopted by domain scientists for exploring trends in scientific simulations. However, due to the dynamic nature and generation methods of animations, serious concerns have been raised regarding their effectiveness for analytical tasks. This has led to interactive techniques often being favored over animations, as they provide the user with complete control over the visualization. This trend in scientific visualization design has not yet considered newer algorithmic animation generation methods that are driven by the automatic analysis of data features and storytelling techniques. In this work, we performed an experiment which compares feature-driven storytelling animations to common interactive visualization techniques for time-varying scientific simulations. We discuss the design of the experiment, including tasks for storm-surge analysis that are representative of common scientific visualization projects. Our results illustrate the relative advantages of both feature-driven storytelling animations and interactive visualizations, which may provide useful design guidelines for future storytelling and scientific visualization techniques.\",\"PeriodicalId\":89305,\"journal\":{\"name\":\"Visualization and data analysis\",\"volume\":\"2001 1\",\"pages\":\"99-109\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Visualization and data analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2352/ISSN.2470-1173.2017.1.VDA-393\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Visualization and data analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2352/ISSN.2470-1173.2017.1.VDA-393","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Effectiveness of Feature-Driven Storytelling in 3D Time-Varying Data Visualization
Storytelling animation has a great potential to be widely adopted by domain scientists for exploring trends in scientific simulations. However, due to the dynamic nature and generation methods of animations, serious concerns have been raised regarding their effectiveness for analytical tasks. This has led to interactive techniques often being favored over animations, as they provide the user with complete control over the visualization. This trend in scientific visualization design has not yet considered newer algorithmic animation generation methods that are driven by the automatic analysis of data features and storytelling techniques. In this work, we performed an experiment which compares feature-driven storytelling animations to common interactive visualization techniques for time-varying scientific simulations. We discuss the design of the experiment, including tasks for storm-surge analysis that are representative of common scientific visualization projects. Our results illustrate the relative advantages of both feature-driven storytelling animations and interactive visualizations, which may provide useful design guidelines for future storytelling and scientific visualization techniques.