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Erschienen in:
06.03.2018
Image-based tablet form design
Erschienen in: Cluster Computing | Sonderheft 4/2019
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Abstract
The emotional cognition brought by tablet form characteristics (shape, color, size, etc.) to users can affect their choice of tablet, and even can affect their confidence of medicine treatment effect. In order to assist in improving medicine treatment effect, it is necessary to design tablet form that meets the need of users’ emotion. This paper proposes an image-based tablet form design method. Firstly, it determines emotional needs of users and decomposes design elements of tablet form. Then, it obtains image perceptual information of users by their subjective evaluation and employs grey prediction model to build the correlation model between design elements and users’ perceptual images. Finally it employs particle swarm optimization to optimize design scheme of tablet form. Through the case of children’s tablet form design, it was proved that this method is effective and feasible, and could effectively assist in tablet form design.