We introduce a framework Knock-Knock (a sound like a shaking sprayer ) for children to communicate, collaborate, and transmit digital information between children and computer. Nowadays, computer provides a series of convenient way for children to communicate with, such as keyboard and mouse or even something more advanced. However, all the input devices seems to be too difficult and unfriendly for children, while digital information merges into everyday lives. We try to present a tangible method for children to communicate and process collaboration works with other children. Knock-knock is an image recorder that looks like a spray can providing user the function to record images and sounds. Knock-knock uses a metaphor of a spray can, which makes children control it intuitively, away from the complicated interface and get back to the naive imagination we all had when we were drawing on walls in our childhood.

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The study adopts Kansei Engineering and back-propagation neural network to forecast the student groups' Kansei evaluation regarding form design of perfume bottles, and the results demonstrates that the cognition are inconsistent between the students with a major in design and the others, with the only exception of the word pair of “Stylish-Classic”. The learning modules of back-propagation model must be inspected under the consistence of cognition. Consequently, the resulting accuracy rate merely reaches 20% due to the diverse cognition. For a better prediction performance, a greater amount of training and learning processes for various groups are required for the back-propagation model.

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