Answering Why and When? A Systematic Literature Review of Application Scenarios and Evaluation for Immersive Data Visualization Analytics

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F23%3A50020516" target="_blank" >RIV/62690094:18450/23:50020516 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.igi-global.com/gateway/article/323799" target="_blank" >https://www.igi-global.com/gateway/article/323799</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4018/JCIT.323799" target="_blank" >10.4018/JCIT.323799</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Answering Why and When? A Systematic Literature Review of Application Scenarios and Evaluation for Immersive Data Visualization Analytics

Popis výsledku v původním jazyce

Immersive analytics (IA) is a fast-growing research field that concerns improving and facilitating human sense making 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 synthesizes several works to answer the why within the context of multiple levels of specificity. In addition, this study also explores the application domains and IA guiding scenarios to address when scenarios best integrate with IA. Then, the paper discusses the IA evaluation types and research methods to evaluate an IA application that can promote effective user engagement in IA. Finally, the limitations and potential future works are discussed. © 2023 IGI Global. All rights reserved.

Název v anglickém jazyce

Answering Why and When? A Systematic Literature Review of Application Scenarios and Evaluation for Immersive Data Visualization Analytics

Popis výsledku anglicky

Immersive analytics (IA) is a fast-growing research field that concerns improving and facilitating human sense making 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 synthesizes several works to answer the why within the context of multiple levels of specificity. In addition, this study also explores the application domains and IA guiding scenarios to address when scenarios best integrate with IA. Then, the paper discusses the IA evaluation types and research methods to evaluate an IA application that can promote effective user engagement in IA. Finally, the limitations and potential future works are discussed. © 2023 IGI Global. All rights reserved.

Druh

J_imp - Článek v periodiku v databázi Web of Science

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

2023

Kód důvěrnosti údajů

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

Název periodika

Journal of Cases on Information Technology

ISSN

1548-7717

e-ISSN

1548-7725

Svazek periodika

25

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

29

Strana od-do

1-29

Kód UT WoS článku

001019306200005

EID výsledku v databázi Scopus

2-s2.0-85163855106