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


StripBrush reduces the physical effort required to draw 3D shapes, improves drawing accuracy and overall usability, and maintains a range of other performance indicators on par with state-of-the-art normal VR brush interfaces.
Abstract

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.

Paper

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BibTex
@misc{Rosales:2021:StripBrush,
      author = {Rosales, Enrique and Rodriguez, Jafet and Araújo, Chrystiano and Vining, Nicholas and 
      Yoon, Dongwook and Sheffer, Alla},
      title = {StripBrush: A Constraint-Relaxed 3D Brush Reduces Physical Effort and Enhances the Quality 
      of Spatial Drawing},
      year = {2021},
      eprint={2109.03845},
      archivePrefix = {arXiv},
      primaryClass = {cs.HC}
  }
  
Additional Material


© 2021 Copyright Enrique Rosales, Jafet Rodriguez, Chrystiano Araújo, Nicholas Vining, Dongwook Yoon, and Alla Sheffer.