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StripBrush: A Constraint-Relaxed 3D Brush Reduces Physical Effort and Enhances the Quality of Spatial Drawing

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arxiv 2109.03845 v1 pith:67BEWOYV submitted 2021-09-08 cs.HC cs.GR

classification cs.HCcs.GR
keywords drawingbrushphysicalspatialuserseffortstripbrushintended
verification ladder T0 review T1 audit T2 compute T3 formal
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Spatial drawing using ruled-surface brush strokes is a popular mode of content creation in immersive VR, yet little is known about the usability of existing spatial drawing interfaces or potential improvements. We address these questions in a three-phase study. (1) Our exploratory need-finding study (N=8) indicates that popular spatial brushes require users to perform large wrist motions, causing physical strain. We speculate that this is partly due to constraining users to align their 3D controllers with their intended stroke normal orientation. (2) We designed and implemented a new brush interface that significantly reduces the physical effort and wrist motion involved in VR drawing, with the additional benefit of increasing drawing accuracy. We achieve this by relaxing the normal alignment constraints, allowing users to control stroke rulings, and estimating normals from them instead. (3) Our comparative evaluation of StripBrush (N=17) against the traditional brush shows that StripBrush requires significantly less physical effort and allows users to more accurately depict their intended shapes while offering competitive ease-of-use and speed.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. MS2Mesh-XR: Multi-modal Sketch-to-Mesh Generation in XR Environments

    cs.CV 2024-12 conditional novelty 3.0 of 10

    A system that turns mid-air sketches plus voice into textured 3D meshes in XR by chaining ControlNet image generation with convolutional mesh reconstruction.

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