| With rapid development of the electronic industry and steady growth of people’sconsumption level, laptop has been the necessity in people’s life. Furthermore,because of arriving of the Experience Economy Times, people are not just satisfiedwith obtaining substance function from products and prefer to aspire sensibilityexperience. While, the difference of sensibility cognizance exists between user anddesigner for the same product. In order to remove the difference, this dissertationdeeply discussed about how to use relevant research methods of KanseiEngineeringto transfer user’s sensibility expectation into the form design elements of laptop. Then,conducted reasonable deconstructed analysis for these design elements, created a tablefor different types and characters of the elements to provide practical reference withdesigner, and structured an optimization model of BP neural network. This model isnot only suitable for this research, but also can be applied for other similaroptimization study directly.At the same time, because the KanseiEngineering is a research process basedon the CBR, it is only able to match to the best model among experiment samples butunable to optimize the model again. Hence, this dissertation proposed a method tocombine dimension marking with characteristic line analysis, which gives a moredetailed analysis for the model elements to address the problem of model optimization.Ultimately, through reviewing the entire research, the paper proposed a researchmethod for laptop form design based on the KanseiEngineering, and confirmed thefeasibility of the method. |
