Nowadays, a new technological and industrial revolution is under gestation and the labor division as well as competition division is re-shaping. Meanwhile, the industrial robot has become the one contested by all high-end equipment field throughout the world. How to introduce emotion design into the robot will inevitably become a power weapon for robots shinning out in competition. Human beings have emotional appeals, and the emotional effect ignited based on product functional structure, material form, user aesthetic sense as well as experience, and the cross-over study among user emotional appeals, psychology, physiology and design will become front topics in the industrial design research field. No matter perceptual engineering or emotional design, they are mainly responsible for the scientific recognition and adoption of ambiguous perceptual or emotional factors appeared in the course of creation, which aim to try the utmost to solve the emotional problems via scientific approaches, and change the situation that people cannot scientifically as well as accurately deal with emotional problems based on the experience and feeling of designers. So, the primary problem to solve emotional recognition is how to scientifically and effectively construct the perceptual intention space of products. This paper carries out scientific research on the special filed industrial robot based on the research of constructing perceptual intention space, trying unremitt8ing efforts to know the most scientific and effective perceptual intention space. The model construction includes vocabulary acquisition, selection and establishment to determine the key elements of users and experts. The main task of perceptual vocabulary acquisition is to widely collect the perceptual intention of industrial robot purchasers and users and personal interview as well as questionnaire is adopted; the selection stage is to carry out hierarchical clustering and simplification of the vulgar, similar and opposite words and the KJ is adopted; the establishment stage is to refine and determine perceptual words based on experts counseling and refinement experiment (the experiment approach is to integrate the online questionnaire and field investigation), which cannot only help to have a good knowledge of the emotional appeals, perceptual intention vocabularies recognized by users but also make up for the inner voice of users. To conclude, this paper innovatively comes up with the idea of perceptual intention space construction model of industrial robots based on ‘users and experts’ appealing.
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