Morphological Analysis Of Perceptual Imagery

At present,the consumption frequency and amount of the young people,so-called "95's",far exceed the previous generations.Under the background of products being younger,as an enterprise owning several brands,it is inevitable to make changes according to consumers 'demands.What kind of products do the young generation like? What style do they prefer? What factors have impacts on the decision? They are the most frequent questions asked by the designers.After the emergence of Kansei Engineering's method of product research,it is crucial to grasp the preference of people in product design scientifically,by establishing an accurate image interpretation model and establishing a rational relationship between materialization information of product and human emotion.The report is a cross-experimental work,which combines Kansei Engineering,statistics and industrial modeling design.Through the analysis of the consumption habits,aesthetic characteristics and preferences of the people born after 1995,life style,aesthetic characteristics and driving factors of young people can be understood.This report uses scientific methods to measure vague preferences that were difficult to quantify in the past.By using the Kansei engineering method,through analyzing the preferences of target groups and analyzing the essential elements of perfume products,the functional relationship between perceptual quantity and physical quantity is established and explained.Kansei Engineering has the characteristics of high sharpness in analyzing a large number of data,which can be studied the influence of the interaction of various factors on the overall effect of the product.Through the combination of different elements such as line type,color,material,technology,proportion,typesetting,decoration,brand attributes,matching with users' perceptual needs can be achieved at the largest extent.The innovations of this report are as followed:1.Overthrowing the previous studies on single-dimensional variables,which has an oversimplified influence,this report constructs a multi-dimensional preference expression from a macro point of view by using multi-dimensional preference and multi-variable product feature combination and multiple linear regression theory.Furthermore,this report uses the optimal scale analysis to construct a multi-variable feature combination sensory engineering model from a micro-perspective,and verifies the predicted and actual values of the two models,which proves the validity of the model.2.The conclusions from previous Kansei Engineering analysis were usually based on model validation,which emphasized on experimentation.In this report,by conducting the principle of industrial modeling design,combined with the obtained modeling strategy,applying three-dimensional modeling as well as rendering technology and testing materialization effect products,a research has been conducted in the end.This report especially emphasize on the application scenario of Kansei Engineering.3.Previous research data usually measures research workload in a wide range,resulting in a large number of interference information and requiring heavy data organization work.In this report,through the combination of the focus research of the target population and the network research of the target users,the research data improves the pertinence on the basis of ensured workload.This is able to avoid the deviation effectively caused by the mixed research objectives.In general,this report uses multiple linear regression analysis to explain and measure the main direction of product rejuvenation.At the same time,this report uses the categorical regression model to explain the influence of various modeling features on perceptual preference.By comparing the two models,the results show that young consumers have the highest proportion of truthiness and freedom towards perceptual images,which can be used as an important indicator to evaluate the younger products.In addition,the importance of different dimension characteristics also has different bias,which followed by targeted product strategy recommendations according to the importance indicators.The result of this report indicates that the product modeling strategy obtained by using Kansei Engineering model can effectively reach the consensus between product and consumer demand.Compared with the traditional exploratory development mode of permutation and combination,as a scientific innovation mode,Kansei Engineering research method has significantly improved the efficiency of product research and development.