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구분 SCI
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학술대회 Data Abstraction for Visual and Haptic Representations in Flow Visualization
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저자
Ayush Bhardwaj, 강성주, 김진룡
발행일
202211
출처
Symposium on Virtual Reality Software and Technology (VRST) 2022, pp.1-2
DOI
https://dx.doi.org/10.1145/3562939.3565651
협약과제
22ZS1300, 인공지능 처리성능 한계를 극복하는 고성능 컴퓨팅 기술 연구, 김강호
초록
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 제안 키워드
Data characterization, Data mapping, Data reduction, Flow visualization, Immersive Analytics, Mid-air haptic, Preliminary study, Recirculation region, Wind Tunnel, data abstraction, data interaction