System and method of automating multidimensional scaling for psychophysics
First Claim
1. A program for comparing multiple factors using multidimensional scaling analysis, the program comprising computer usable media including at least one computer program embedded therein that causes the computer to perform:
- generating at least one set of samples, where each sample in the set is created by a print algorithm combining a number of factors;
for each set, collecting data on observable relative differences between samples in the set;
performing multidimensional statistical analysis on the collected data; and
displaying results of the statistical analysis as plots.
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Abstract
Disclosed is method, system, and program for defining and administering a test to determine human perceptions of observable samples, such as printed text or images, sounds, motion pictures, etc. based on multiple factors. A displayable test building window includes input fields to receive input on at least one observable sample set according the multidimensional scaling experiment. Generated in a data gathering window is at least one perception input field for each observable sample set. The observer is capable of entering perception information in each input field concerning the observable samples. Observer perception input on the observable samples is received and stored. Statistical analysis is then performed on the entered perception input. A report is generated displaying the results of the multidimensional scaling calculations in the form of plots.
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Citations
8 Claims
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1. A program for comparing multiple factors using multidimensional scaling analysis, the program comprising computer usable media including at least one computer program embedded therein that causes the computer to perform:
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generating at least one set of samples, where each sample in the set is created by a print algorithm combining a number of factors;
for each set, collecting data on observable relative differences between samples in the set;
performing multidimensional statistical analysis on the collected data; and
displaying results of the statistical analysis as plots. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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Specification