This dissertation explores spatial human-computer interaction techniques to improve the control and expressiveness of 3D interactions. It investigates the requirements necessary for users to work more effectively with next-generation spatial interfaces, specifically in the context of scientific visualization and artistic 3D modeling where users currently struggle to express complex spatial concepts.Examples of expressive spatial interfaces are presented and evaluated. In particular, we present new techniques for combining multi-touch with free-hand gestures for navigating visualizations and performing 3D surface modeling operations. Techniques for selecting and filtering volumetric data using lightweight props as well as active force-feedback are also introduced. Additionally, we present a spatial modeling interface for artistic 3D modeling using contextual interpretation of the user's input. Several conclusions are drawn from these examples. Rich, parallel input and output streams enabled by recent advances in tracking hardware are particularly important for expressive interfaces. Additionally, there is a need for tighter integration of two and three-dimensional data and input. Contextual interpretation of user input enables users to specify more complex 3D concepts. Finally, many spatial tasks require immediate feedback to be expressive.The primary contribution of this dissertation is a new class of interaction techniques called <italic>Expressive Spatial Interfaces</italic> that advance beyond the limited pointing and rotating interactions common in current-generation spatial interfaces. The techniques presented here can have a powerful impact on shaping the future of expressive spatial human-computer interaction with 3D graphics.
UNiversity of Minnesota Ph.D. dissertation. July 2014. Major: Computer Science. Advisor:Daniel F. Keefe. 1 computer file (PDF); xi, 176 pages.
Jackson, Bret Lowell.
Expressive spatial Interfaces for scientific visualization and artistic 3D Modeling.
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