Ayush Bhardwaj
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.
- Ayush Bhardwaj, Junghoon Chae, Richard Huynh Noeske, and Jin Ryong Kim. 2021. TangibleData: Interactive Data Visualization with Mid-Air Haptics. In Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology. 1–11.Google Scholar
Digital Library
- Rickard Englund, Karljohan Lundin Palmerius, Ingrid Hotz, and Anders Ynnerman. 2018. Touching data: Enhancing visual exploration of flow data with haptics. Computing in Science & Engineering 20, 3 (2018), 89–100.Google ScholarCross Ref
- Giancarlo Pavia, MA Passmore, Max Varney, and Graham Hodgson. 2020. Salient three-dimensional features of the turbulent wake of a simplified square-back vehicle. Journal of Fluid Mechanics 888 (2020).Google Scholar
- Arnaud Prouzeau, Maxime Cordeil, Clement Robin, Barrett Ens, Bruce H Thomas, and Tim Dwyer. 2019. Scaptics and highlight-planes: Immersive interaction techniques for finding occluded features in 3D scatterplots. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. 1–12.Google ScholarDigital Library
Index Terms
- Data Abstraction for Visual and Haptic Representations in Flow Visualization
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