Michael Glueck, Azam Khan
Michael Glueck, Azam Khan
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
2011
Virtual 3D environments have become pervasive tools in a number of professional and recreational tasks. However, interacting with these environments can be challenging for users, especially as these environments increase in complexity and scale. In this paper, we argue that the design of 3D interaction techniques is an ill-defined problem. This claim is elucidated through the context of data-rich and geometrically complex multiscale virtual 3D environments, where unexpected factors can encumber intellection and navigation. We develop an abstract model to guide our discussion, which illustrates the cyclic relationship of understanding and navigating; a relationship that supports the iterative refinement of a consistent mental representation of the virtual environment. Finally, we highlight strategies to support the design of interactions in multiscale virtual environments, and propose general categories of research focus.
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This project investigates the properties and qualities of multiscale datasets in an effort to gain critical insights needed, in user experience and understanding, to make progress in increasingly complex contexts.