【摘要】 在N.R.S.Hollies的心理量表技术基础上,发展了一种新的心理量表技术应用于着装实验来评价服装的穿着舒适感觉。通过因子分析从复杂的心理感知反应中提炼出3个独立感觉因子(热湿舒适因子、接触舒适因子、压力舒适因子),并就感觉因子与整体舒适感觉之间的关系进行了分析,同时用线性统计和BP神经网络等方法分别建立了服装整体舒适感觉的预测模型。结果表明:热湿舒适因子、接触舒适因子、压力舒适因子对感觉舒适性的贡献率分别为33.695%、29.114%、17.011%,它们包含了10项感觉描述语;BP神经网络的预测精度高于线性统计模型。更多还原

【Abstract】 Based on N·R·S·Hollies′ psychological scaling,a new psychological scaling was developed and applied to evaluate clothing comfort through wearer trial.Three independent perceptional factors(thermal and moisture sensibility comfort,tactile sensibility comfort and pressure sensibility comfort) were extracted from the complex psychologically perceptional reaction by means of factor analysis.The correlation between the perceptional factor and the entire comfort perception was analyzed,and the predicting model of clothing comfort was established by using the linearity statistical analysis and BP neural networks.The results indicated that the contribution rate of thermal and moisture sensibility comfort,tactile sensibility and pressure sensibility to the entire comfort perception are 33.695%,29.114% and 17.011% respectively.Ten descriptive terms for perception are presented.The accuracy of prediction of BP neural networks model is higher than that of factor analysis.更多还原