XROps: A Visual Workflow Management System for Dynamic Immersive Analytics

Citations

WEB OF SCIENCE

2
Citations

SCOPUS

5

초록

Immersive analytics is gaining attention across multiple domains due to its capability to facilitate intuitive data analysis in expansive environments through user interaction with data. However, creating immersive analytics systems for specific tasks is challenging due to the need for programming expertise and significant development effort. Despite the introduction of various immersive visualization authoring toolkits, domain experts still face hurdles in adopting immersive analytics into their workflow, particularly when faced with dynamically changing tasks and data in real time. To lower such technical barriers, we introduce XROps, a web-based authoring system that allows users to create immersive analytics applications through interactive visual programming, without the need for low-level scripting or coding. XROps enables dynamic immersive analytics authoring by allowing users to modify each step of the data visualization process with immediate feedback, enabling them to build visualizations on-the-fly and adapt to changing environments. It also supports the integration and visualization of real-time sensor data from XR devices—a key feature of immersive analytics—facilitating the creation of various analysis scenarios. We evaluated the usability of XROps through a user study and demonstrate its efficacy and usefulness in several example scenarios. © 2025 Elsevier B.V., All rights reserved.

키워드

Extended Reality; Immersive Analytics; Visual Programming; Data Visualization; Visualization; Workflow Management; Analytics Systems; Extended Reality; Immersive; Immersive Analytic; Interaction With Data; Multiple Domains; Specific Tasks; User Interaction; Visual Programming; Workflow Management Systems; Visual Analytics
제목
XROps: A Visual Workflow Management System for Dynamic Immersive Analytics
저자
Jeon, Suemin; Choi, JunYoung; Jeong, Haejin; Jeong, Won-Ki
DOI
10.1109/TVCG.2025.3546467
발행일
2025-10
유형
Article
저널명
IEEE Transactions on Visualization and Computer Graphics
권
31
호
10
페이지
7407 ~ 7420