Enabling the visualization for reasoning about temporal data

Nikolay Burlutskiy; Miltiadis Petridis; Andrew Fish; Nour Ali

doi:10.1109/VLHCC.2014.6883044

Enabling the visualization for reasoning about temporal data

Nikolay Burlutskiy, Miltiadis Petridis, Andrew Fish, Nour Ali

University of Brighton

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

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.

Original language	English
Title of host publication	2014 IEEE Symposium on Visual Languages and Human-Centric Computing
Place of Publication	Melbourne, Australia
Pages	179-180
Number of pages	2
DOIs	https://doi.org/10.1109/VLHCC.2014.6883044
Publication status	Published - 1 Jan 2014
Event	2014 IEEE Symposium on Visual Languages and Human-Centric Computing - Melbourne, Australia, 28 July - 1 Aug, 2014 Duration: 1 Jan 2014 → …

Conference

Conference	2014 IEEE Symposium on Visual Languages and Human-Centric Computing
Period	1/01/14 → …

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title = "Enabling the visualization for reasoning about temporal data",

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{\textquoteright}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.",

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AB - 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.

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M3 - Conference contribution with ISSN or ISBN

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BT - 2014 IEEE Symposium on Visual Languages and Human-Centric Computing

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ER -

Enabling the visualization for reasoning about temporal data

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