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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název statě ve sborníku

2022 IEEE International Conference on Computing, ICOCO 2022

ISBN

978-1-66548-996-6

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

232-236

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

New Jersey

Místo konání akce

Kota Kinabalu

Datum konání akce

14. 11. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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