| With the continuous development of agricultural mechanization,while meeting the functional needs of users,the aesthetic demand for agricultural machinery is increasing,and the attention to the appearance design of agricultural machinery is also increasing.Especially when the market tends to be saturated,the functional gap is not significant,and the appearance design of agricultural machinery plays a key role in the purchase decision of users.With the trend of increasing aesthetic demand,the aesthetic characteristics of small agricultural machinery such as micro cultivator have attracted more and more users’ attention.In order to meet the emotional needs of users in the appearance of micro-cultivator and other small agricultural machinery,the existing agricultural machinery product family was screened and analyzed,and the appearance design of agricultural machinery was improved and evaluated on the basis of meeting the functional requirements.Taking micro-cultivator as an example,Kansei engineering and analytic hierarchy process were used to analyze the user’s emotional needs and the characteristics of micro-cultivator products.Based on the appearance characteristics of micro-cultivator,an appearance design evaluation based on genetic factor theory was proposed for the product family of micro-cultivator,which was verified by eye movement experiment,so as to meet the users’ requirements for the appearance design of micro-cultivator.Based on the theoretical basis and technical means of genetic factor theory,Kankanistic engineering,analytic hierarchy process,computer software-assisted product optimization design,genetic algorithm and eye movement experiment,this paper provides theoretical methods for the evaluation and study of the appearance design of microcultivator product family.The main research contents are as follows:(1)Extract appearance feature genes of product family according to users’ perceptual needs.Based on Kansei engineering,this paper analyzes the appearance design requirements of users of micro-cultivator products,and divides gene layers according to the extracted appearance characteristic genes.Combine with analytic hierarchy process to confirm the characteristic weight of micro-cultivator products,clear the design focus of micro-cultivator products.SPSS data was used to analyze the significance and correlation between feature weights and user ratings.(2)Interactive genetic algorithm is used to generate the optimal solution.In this paper,the characteristic gene bank and the characteristic coding bank of products are constructed based on the genetic factor theory,and the subgeneration scheme is iteratively generated according to the characteristics of cross mutation of interactive genetic algorithm.The subgeneration scheme with the highest fitness,that is,the one most in line with user needs,is selected as the optimal solution.(3)The design and evaluation of micro-cultivator products were carried out by using eye movement experiment.In this paper,eye movement experimental equipment is used to verify the optimal solution obtained by interactive genetic algorithm to meet the needs of users.Based on the experimental data,the preferences of users for the product characteristics of the microcultivator product family are analyzed. |