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Answering Why? An Overview of Immersive Data Visualization Applications Using Multi-Level Typology of Visualization Task

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F22%3A50020197" target="_blank" >RIV/62690094:18450/22:50020197 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/ICOCO56118.2022.10031696" target="_blank" >http://dx.doi.org/10.1109/ICOCO56118.2022.10031696</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICOCO56118.2022.10031696" target="_blank" >10.1109/ICOCO56118.2022.10031696</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Answering Why? An Overview of Immersive Data Visualization Applications Using Multi-Level Typology of Visualization Task

  • Original language description

    Immersive Analytics (IA) is a fast-growing research field that concerns improving and facilitating human sensemaking and data understanding through an immersive experience. Understanding the suitable application scenario that will benefit from IA enables a shift towards developing effective and meaningful applications. This paper aims to explore tasks and scenarios that can benefit from IA by conducting a systematic review of existing studies and mapping them according to the multi-level typology for abstract visualization tasks, which is also known as the What-Why-How framework. The study synthesized several works to answer the Why within the context of multiple levels of specificity. Finally, the limitations and future works are discussed. © 2022 IEEE.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2022 IEEE International Conference on Computing, ICOCO 2022

  • ISBN

    978-1-66548-996-6

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    232-236

  • Publisher name

    Institute of Electrical and Electronics Engineers Inc.

  • Place of publication

    New Jersey

  • Event location

    Kota Kinabalu

  • Event date

    Nov 14, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article