In the recent years, e-commerce is becoming important in Internet applications. Product promotion information can be presented by realistic pictures or 3D images. If we can apply the effects of music performance to enhance the product form image in front of consumers, it will aid consumers on understanding the image that products are trying to represent.

This research discusses the formations of product image and its relationships to music performance. Through this research, the results could provide product designers a methodology on choosing a suitable music piece according to a product form image. Base on the framework of Kansei Engineering approach, a common image space, product form and music, has been developed. With Quantitative Theory type I analysis, samples of product and music piece are projected onto the perception space to build up the relationship of the product form attributes and music attributes to the Kansei image. Next, within the perception space, the ranges of area which provide similar feeling between product form and music piece have been studied and formalized. With all these results, a music selection plan has been proposed and verified by Paired-samples T Test. This plan could be used by designers to choose the music which has similar image of a selected product.

This research focus on finding the relationship of the product form attributes and music attributes, also, pointing out that the ranges of similarity areas in a perception space are different. Through our research, the result could provide product promotion planners on selecting suitable music to enhance product image.