Publication
When It Gets More Difficult, Use Both Hands – Exploring Bimanual Curve Manipulation
AbstractIn this paper we investigate the relationship between bimanual (two-handed) manipulation and the cognitive aspects of task integration, divided attention and epistemic action. We explore these relationships by means of an empirical study comparing a bimanual technique versus a unimanual (one-handed) technique for a curve matching task. The bimanual technique was designed on the principle of integrating the visual, conceptual and input device space domain of both hands. We provide evidence that the bimanual technique has better performance than the unimanual technique and, as the task becomes more cognitively demanding, the bimanual technique exhibits even greater performance benefits. We argue that the design principles and performance improvements are applicable to other task domains.
Download publicationAssociated Researchers
William Buxton
University of Toronto
Gordon Kurtenbach
University of Toronto
Russell Owen
Alias
Thomas Baudel
Alias
Related Resources
See what’s new.
2025
AutoBrep: Autoregressive B-Rep Generation with Unified Topology and GeometryAn autoregressive foundation model for direct B-Rep generation that…
2011
Fast Fluid Dynamics on the Single-chip Cloud ComputerFast simulation of incompressible fluid flows is necessary for…
2011
A gluing construction for prescribed mean curvatureThe gluing technique is used to construct hypersurfaces in Euclidean…
2019
Building Performance Implications of Occupant MobilityIn the ongoing effort to improve building performance predictions, a…
Get in touch
Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.
Contact us