Computer-drawn faces can be used as tools for exploring visualization in learning and for presenting multivariate data. Previous applications by the author in the parametric control of computer-generated facial features are discussed, as well as new research and potential future applications. Also presented is the “autocorrelation-face,” a graphics representation which is created from the mathematical analysis of voice input. Implications for its possible use as a learning aid for the deaf, and in waveform analysis in general, are discussed.
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