3D spatial interaction: applications for art, design, and science
ACM SIGGRAPH 2011 Courses
Modeling the effect of force feedback for 3D steering tasks
EGVE - JVRC'11 Proceedings of the 17th Eurographics conference on Virtual Environments & Third Joint Virtual Reality
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This dissertation investigates free-form modeling tools driven by 3D drawing-style input and their utility for design, illustration, and visualization in science and art. 3D drawing interactions are developed and analyzed with respect to control, artistic expression, and the unique design methodologies they make possible.A toolset of new interactive algorithms for 3D drawing called Drawing on Air is presented. The additional control provided by Drawing on Air was measured in a quantitative user-study in which it significantly outperformed multiple alternative techniques. Additionally, qualitative evaluations driven by art and scientific illustration lead to successful 3D modeling results of subjects previously too challenging to address effectively with 3D drawing techniques. To better understand this style of 3D computer input, statistical models grounded in theories of human perception and motor control were developed and analyzed with respect to experimentally collected data. Results help to highlight differences between the input techniques tested and lead to the definition of an index of difficulty for controlled, 3D, drawing-style input. Finally, a series of four experiments using 3D drawing tools for design of scientific visualizations is presented. These lead to several tool refinements and a new methodology for collaborative design of virtual reality visualizations called Scientific Sketching.The major conclusions of the dissertation can be summarized briefly: (1) New tools for free-form modeling based on 3D drawing-style interaction can increase artists' expressive power. (2) This style of computer interaction is useful for depicting challenging subjects in science and art. (3) We can better understand controlled, continuous 3D computer input through statistical models based on theories of human perception and motor control. (4) Visual experts, such as artists, can make important contributions to visual problems in science, but appropriate tools are required to make these collaborations productive.