Abstract

Purpose: This paper is to enable users to have a good perception experience through modeling research on intelligent medical delivery robots. Method: Supported by Kansei engineering theory to analyze user needs, this article uses the semantic difference method and Likert scale method to analyze the perceptual image of samples. In this paper, SPSS is used to calculate, quantify the perceptual image vocabulary and design elements, analyze and construct the relationship model between perceptual image and intelligent medical delivery robot image modeling, and finally analyze the design elements according to the model and carry out case practice. Conclusion: Kansei engineering can be effectively applied to the design of intelligent medical distribution robots. The method designed in this article can provide a reference method for this type of product.

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