Answering Why and When? A Systematic Literature Review of Application Scenarios and Evaluation for Immersive Data Visualization Analytics
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Answering Why and When? A Systematic Literature Review of Application Scenarios and Evaluation for Immersive Data Visualization Analytics
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
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
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Cases on Information Technology
ISSN
1548-7717
e-ISSN
1548-7725
Volume of the periodical
25
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
29
Pages from-to
1-29
UT code for WoS article
001019306200005
EID of the result in the Scopus database
2-s2.0-85163855106