{"title":"Enabling the visualization for reasoning about temporal data","authors":"N. Burlutskiy, M. Petridis, A. Fish, Nour Ali","doi":"10.1109/VLHCC.2014.6883044","DOIUrl":null,"url":null,"abstract":"Complexity and scale of modern data is at its highest level but its temporal properties are often neglected. As a result, it is often hard for a user to make an informed decision about its time related characteristics. However, an aesthetic and efficient visualization can mitigate this drawback of data representation. For example, an informative graphical visualization based on user's interaction with a computer interface can dramatically improve user experience with temporal data. In this paper, I propose such visualization of temporal data for reasoning. I developed a temporal model supporting different temporal entities for this data. These include timestamps, intervals, different time granularity and uncertainty of time. I proposed a multimodal visualization based on this abstract time model so a user will have the functionality to reason on temporal properties of visualized data from different points of view.","PeriodicalId":165006,"journal":{"name":"2014 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VLHCC.2014.6883044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Complexity and scale of modern data is at its highest level but its temporal properties are often neglected. As a result, it is often hard for a user to make an informed decision about its time related characteristics. However, an aesthetic and efficient visualization can mitigate this drawback of data representation. For example, an informative graphical visualization based on user's interaction with a computer interface can dramatically improve user experience with temporal data. In this paper, I propose such visualization of temporal data for reasoning. I developed a temporal model supporting different temporal entities for this data. These include timestamps, intervals, different time granularity and uncertainty of time. I proposed a multimodal visualization based on this abstract time model so a user will have the functionality to reason on temporal properties of visualized data from different points of view.