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By Matzeu M., Servadei R.

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Magnenat-Thalmann, P. Kalra, and M. 870-883,1998. D. Bui, D. Heylen, M. Poel, and A. Nijholt, “Exporting Vector Muscles for Facial Animation”, Smart Graphics 2003, LNCS 2733, pp. 251-260, 2003. I. Parke and K. Waters, Computer Facial Animation, A K Peters, 1996. [9] V. Vapnik. Statistical Learning Theory, John Wiley & Sons, 1998. [10] K. Waters, “A muscle model for animating three-dimensional facial expressions”, SIGGRAPH’87, Vol. 17-24, 1987. [11] I. Buck, A. Finkelstein, C. , “Performance-driven hand-drawn animation”, In Symposium of Non-Photorealistic Animation and Rendering (NPAR) 2000, pp.

In addition he have interviewed selected special users, that work with pictures in their profession. A collection of approximately one thousand images was presented to the users. They observed a slideshow, and they were asked to remember a few images that had an impact on them. Afterwards they tried to draw a sketch in order to retrieve the memorized images. First they made a sketch with the mouse, and then using the new color cube interface. Results and impressions of users were compared at the end.

As yellow, orange and magenta are also well memorized colors those were provided, too. Early tests with a web cam showed that cyan as a mixture of green and blue is badly captured by web cams. Therefore no cyan cubes were provided for the tests. Feedback from the users proved that cyan is not an important color. 5 Comparing Mouse and Tangible Interface As discussed in [17] a user interface can be evaluated with the terms: degree of indirection, degree of integration, degree of compatibility. Although the original publication focuses on widgets, it can also be adopted for tangible user interfaces.

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