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Conference Paper Data Abstraction for Visual and Haptic Representations in Flow Visualization
Cited 2 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Ayush Bhardwaj, Sungjoo Kang, Jin Ryong Kim
Issue Date
2022-11
Citation
Symposium on Virtual Reality Software and Technology (VRST) 2022, pp.1-2
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1145/3562939.3565651
Abstract
This paper presents a new way of data abstraction for visual and haptic representations in immersive analytics using a mid-air haptic display. Visual and haptic abstraction is proposed to transform raw data (wind tunnel data) into another form of data for effective visual and haptic data mapping. Three main features are extracted: (i) Magnitude of Velocity, (ii) Recirculation Region, and (iii) Vorticity. For each feature, visual and haptic abstractions are defined based on data characterization and data reduction. A preliminary study shows a promising direction toward multimodal data interaction in immersive analytics.
KSP Keywords
Data characterization, Data mapping, Data reduction, Flow visualization, Immersive Analytics, Mid-air haptic, Preliminary study, Recirculation region, Wind Tunnel, data abstraction, data interaction