{"title":"在可视化中跟踪用户交互","authors":"D. Groth, B. W. Murphy","doi":"10.1109/INFVIS.2004.67","DOIUrl":null,"url":null,"abstract":"We present a model and prototype system for tracking user interactions within a visualization. The history of the interactions are exposed to the user in a way that supports non-linear navigation of the visualization space. The interactions can be augmented with annotations, which, together with the interactions, can be shared with other users and applied to other data in a seamless way. The techniques constitute a novel approach for documenting information provenance.","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"338 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Tracking User Interactions Within Visualizations\",\"authors\":\"D. Groth, B. W. Murphy\",\"doi\":\"10.1109/INFVIS.2004.67\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a model and prototype system for tracking user interactions within a visualization. The history of the interactions are exposed to the user in a way that supports non-linear navigation of the visualization space. The interactions can be augmented with annotations, which, together with the interactions, can be shared with other users and applied to other data in a seamless way. The techniques constitute a novel approach for documenting information provenance.\",\"PeriodicalId\":109217,\"journal\":{\"name\":\"IEEE Symposium on Information Visualization\",\"volume\":\"338 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Symposium on Information Visualization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFVIS.2004.67\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Symposium on Information Visualization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFVIS.2004.67","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We present a model and prototype system for tracking user interactions within a visualization. The history of the interactions are exposed to the user in a way that supports non-linear navigation of the visualization space. The interactions can be augmented with annotations, which, together with the interactions, can be shared with other users and applied to other data in a seamless way. The techniques constitute a novel approach for documenting information provenance.
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