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Utilize 3D and sculptural window elements to improve figure-ground separation and affordances in 3D data visualisation. Explore mapping to real 3D world features, visualising scalar and vector data, and enhancing perception with interaction and movement for better understanding of complex data structures.
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“sculptural” window elements • highlighting • drop shadows • may help distinguish features– figure ground separation – e.g. X Motif – everything in sculpture! • improve affordances– buttons are for pushing
3D data visualisation • arbitrary parametrisation • e.g. height weight lifespan • build on 2D features • e.g. country car production • N.B. volume or height! • map to real 3D world features • e.g. virtual wind tunnel
3D graphs for non 3D data • 3D histograms etc. • may be misleading (3Dpie charts!) • hard to see 3D for static pictures • use colour as redundant cue • use movement • allow user controlled rotation etc.
real 3 D data • scalar data • temperature, density, pressure • vector data • wind flows, electromagnetic fields
seeing inside? • Problem - we only see the surface • Solution - reduce ‘density’ of data • points OK (stars) - show samples only • translucence • slices • lines
seeing inside - use interaction! • move in the environment • look around the back! • manipulate things • pick up, open up • control cuts, density etc. • e.g. virtual human • insert markers • virtual bubbles, smoke
information visualisation • abstract data • use 3D to increase virtual space • humans understand physical world
Temporal fusion • moving changing images • successive images • parallel changes