Sorry for the late reply -- I had thought I was going to get email notifications of responses because I clicked the box below, so since I didn't get any I assumed I hadn't gotten any replies
The experiment is actually about the way that communication forms evolve with usage. Since it's much easier to work with drawing than with sound, I'm using the drawing of shapes as meanings rather than using sounds as meanings, as in spoken language. Think Chinese characters, but simpler. The question concerns how these characters evolve over the course of time when they get close enough to each other to be easily confused.
The 'characters' that subjects will be taught to use just consist of simple combinations of lines, curves and shapes, e.g. an ellipse with a straight horizontal line drawn across the top. Since I'm interested in the evolution of these characters as subjects begin to use them, I need to find some independent mechanism to measure similarity two instances of the 'same' character. As Cedric notes, the definition of 'similarity' of course is entirely dependent on the dimensions chosen, and I would want to ignore dimensions such as precise position on the screen, for example.
What would be most useful would be the following measure:
For the component shapes within a character (in the example above, the ellipse and the line), I would like to measure the change necessary to morph one corresponding shape into another. This would lump a number of dimensions into the similarity measure: e.g., angle, relative size, curvature. So for two instances of the ellipse plus line character, I would like to find the separate similarities between the two ellipses on the one hand, and the two lines on the other.
There are other measures I would like to include, such as the relative placement of the shapes within a character, but I don't think I need help with that. Thanks very much for any help or advice you can provide!