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Enhancing Data Visualisation in 3D: A Sculptural Approach

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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Enhancing Data Visualisation in 3D: A Sculptural Approach

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  1. using 3Dand visualising 3D

  2. “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

  3. 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

  4. 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.

  5. real 3 D data • scalar data • temperature, density, pressure • vector data • wind flows, electromagnetic fields

  6. seeing inside? • Problem - we only see the surface • Solution - reduce ‘density’ of data • points OK (stars) - show samples only • translucence • slices • lines

  7. 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

  8. information visualisation • abstract data • use 3D to increase virtual space • humans understand physical world

  9. Hierarchical data

  10. Temporal fusion • moving changing images • successive images • parallel changes

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