RealityCanvas: Augmented Reality Sketching for Embedded and Responsive Scribble Animation Effects
arXiv:2307.16116 · doi:10.1145/3586183.3606716
Abstract
We introduce RealityCanvas, a mobile AR sketching tool that can easily augment real-world physical motion with responsive hand-drawn animation. Recent research in AR sketching tools has enabled users to not only embed static drawings into the real world but also dynamically animate them with physical motion. However, existing tools often lack the flexibility and expressiveness of possible animations, as they primarily support simple line-based geometry. To address this limitation, we explore both expressive and improvisational AR sketched animation by introducing a set of responsive scribble animation techniques that can be directly embedded through sketching interactions: 1) object binding, 2) flip-book animation, 3) action trigger, 4) particle effects, 5) motion trajectory, and 6) contour highlight. These six animation effects were derived from the analysis of 172 existing video-edited scribble animations. We showcase these techniques through various applications, such as video creation, augmented education, storytelling, and AR prototyping. The results of our user study and expert interviews confirm that our tool can lower the barrier to creating AR-based sketched animation, while allowing creative, expressive, and improvisational AR sketching experiences.
arXiv commentUIST 2023
References in corpus (7)
- RealitySketch: Embedding Responsive Graphics and Visualizations in AR through Dynamic Sketching
- MARVisT: Authoring Glyph-based Visualization in Mobile Augmented Reality
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- RealityTalk: Real-Time Speech-Driven Augmented Presentation for AR Live Storytelling
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- Chalktalk : A Visualization and Communication Language -- As a Tool in the Domain of Computer Science Education
Cited by in corpus (3)
- Augmented Physics: Creating Interactive and Embedded Physics Simulations from Static Textbook Diagrams
- RealityEffects: Augmenting 3D Volumetric Videos with Object-Centric Annotation and Dynamic Visual Effects
- SonoCraftAR: Towards Supporting Personalized Authoring of Sound-Reactive AR Interfaces by Deaf and Hard of Hearing Users