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Robert C. Zeleznik
Researcher at Brown University
Publications - 62
Citations - 4665
Robert C. Zeleznik is an academic researcher from Brown University. The author has contributed to research in topics: User interface & Visualization. The author has an hindex of 33, co-authored 62 publications receiving 4489 citations.
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Proceedings ArticleDOI
SKETCH: an interface for sketching 3D scenes
TL;DR: The SKETCH application uses simple non-photorealistic rendering and a purely gestural interface based on simplified line drawings of primitives that allows all operations to be specified within the 3D world.
Proceedings ArticleDOI
Image plane interaction techniques in 3D immersive environments
Jeffrey S. Pierce,Andrew S. Forsberg,Matthew Conway,Seung Hong,Robert C. Zeleznik,Mark R. Mine +5 more
TL;DR: This paper presents a set of interaction techniques for use in headtracked immersive virtual environments that can be used for object selection, object manipulation, and user navigation in virtual environments.
Proceedings ArticleDOI
Three-dimensional widgets
Brookshire D. Conner,Scott S. Snibbe,Kenneth P. Herndon,Daniel C. Robbins,Robert C. Zeleznik,Andries van Dam +5 more
TL;DR: This work presents a system which allows experimentation with 3D widgets, encapsulated 3D geometry and behavior, and hopes to allow user-interface designers to build highly interactive 3D environments more easily than is possible with today's tools.
Journal ArticleDOI
MathPad2: a system for the creation and exploration of mathematical sketches
TL;DR: Initial feedback from a small user group of the mathematical sketching prototype application, MathPad2, suggests that it has the potential to be a powerful tool for mathematical problem solving and visualization.
Proceedings ArticleDOI
Hands-free multi-scale navigation in virtual environments
TL;DR: This paper presents a set of interaction techniques for hands-free multi-scale navigation through virtual environments and indicates that motions such as walking and leaning are both appropriate for navigation and are effective in cognitively simplifying complex virtual environment interactions since functionality is more evenly distributed across the body.