Department of Industrial and Commercial Design
National Taiwan University of Science and Technology
1. | Collecting similarity or preference data from surveys, and transforming the collected data into the input formats required by the various MDS programs are tedious and error-prone. |
2. | In the perceptual space generated by MDS programs, stimulus objects are represented symbolically, as numbers or names, rather than graphically, as icons or images. For design related applications, such a representation does not provide sufficient information for interpreting the perceptual space. To visualize the distribution of stimulus objects in the perceptual space, designers often create a graphical representation from the output of MDS programs by hand, or by using a separate drawing program. |
3. | To interpret the meaning of each axis in the perceptual space, designers need to visualize ideal vectors that represent subject preferences, as well as the projections of points onto the ideal vectors. Again, designers usually need to draw these vectors and to find projections of points based on the output of MDS programs. |
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