1. using 3D and 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 (3D pie charts!) hard to see 3D for static pictures use colour as redundant cue use movement allow user controlled rotation etc.

7. real 3 D data scalar data –temperature, density, pressure vector data –wind flows, electromagnetic fields

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

11. 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

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

15. Hierarchical data

18. Temporal fusion moving changing images successive images parallel changes