共查询到19条相似文献,搜索用时 130 毫秒
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产品感性评价系统的模糊D-S推理建模方法与应用 总被引:2,自引:0,他引:2
建立了用户对产品的感性评价与模糊D-S证据理论的关联模型;利用产生式规则来表达用户感性评价知识;以产品的部件外形来构成推理的证据部分;以感性词汇集及相应的语意差分值来定义规则的目标集.通过模糊D-S证据理论的规则合成算法,最终获得了用户对整体产品评价及可靠度.该方法能有效地解决感性认知中的"未知性"及评价日标的单一性问题,并在以汽车为例的概念设计中得到较好应用. 相似文献
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为设计出符合消费者感性需求的产品,采用基于模糊逻辑的产品意象造型设计方法.首先确定感性词汇与造型设计要素,利用模糊逻辑建立二者之间的关系.通过模糊化、模糊规则的构建、模糊推理以及反模糊化等过程进行模糊逻辑控制器的设计,用Matlab 建立仿真模型,最后通过测试验证了模型的有效性.结合折叠自行车造型设计进行研究,结果表明... 相似文献
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基于美学特征的参数化产品外形设计及其美学评价 总被引:1,自引:0,他引:1
运用形态控制参数表达产品的形态要素,提出一种基于美学特征的工业缝纫机参数化外形设计方法.修改模型特征参数,可生成不同形态的缝纫机外形;将模型特征参数及对应的美学评价结果作为训练样本,构建了基于神经网络的美学评价系统.最后利用该评价系统给出了最佳美学评价指标下的缝纫机外形模型. 相似文献
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基于感性工学的产品客户化配置设计 总被引:4,自引:0,他引:4
基于感性工学理论及产品平台设计思想,提出了一种产品客户化配置设计方法.通过感性评价的问卷调查方式及回归分析方法建立感性意象与设计参数间的量化关系,同时辨识出平台参数与个性参数;在保持平台参数不变的基础上,改变个性参数进行产品造型以作为第二次问卷调查的样本.通过喜好评价的问卷调查形式,采用聚类分析方法对顾客进行基于喜好相似度的客户群聚类,并采用多项式回归模型建立各自的喜好度与个性参数间的量化关系模型,从而得到各个客户群的符合其最佳满意度的个性参数配置.最后,以手机机身设计为例进行说明. 相似文献
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感性需求是客户需求的重要组成部分,也是影响其购买行为的重要因素.为了在产品配置中满足客户感性需求的目标,遵循感性需求特性和在产品上作用机制的特点,提出了在感性需求和功能需求双重驱动下的产品模块化配置方法.该方法按照客户感性需求表达的特点,设计了从客户感性空间压缩到设计感性空间而获取感性偏好的方法;进而根据感性需求实现的特殊性,提出了符合其要求的映射规则和配置规则;在此基础上,根据对感性需求和功能需求的权衡提出产品模块化配置的求解策略,充分符合了感性需求性质特点.最后通过一个汽车产品实例说明了考虑感性需求下的产品模块化配置过程. 相似文献
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根据气象要素相关性,构建气象要素预测模型,依据模糊认知图的推理机制实现对气象要素的预测,将对人类的疾病预防、环境污染等方面产生重要影响.该文将模糊认知图运用于气象要素中,提出一种基于模糊认知图的气象要素相关性分析及要素预测的模型构建方法.此模型综合考虑气象要素之间相互影响相互制约的关系,将气压、露点温度、湿度等九种不同... 相似文献
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为了深入分析产品形态与消费者情感需求之间的关系,从认知心理学的角度,探
索性地提出一种“设计特征-形态美度-感性意象”的灰箱模型,进行产品形态多意象预测。首先
运用形式美学法则与计算美学理论构建产品美度指标评价体系;然后利用灰熵关联分析方法计
算美度指标对多意象的影响程度,筛选主要的美度指标,避免冗余信息输入对模型预测精度的
影响;最后结合各意象相互联系的特点,以主要美度指标为输入,以多意象为输出,构建多输
出最小二乘支持向量回归机预测模型。利用该模型对汽车前脸3 个目标意象进行了预测,结果
表明其预测精度较高。 相似文献
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产品造型感性评价反映了用户的意象感知,具有模糊性与不确定性,用户常难以准确描述其感性偏好而表现出犹豫.针对该问题,引入犹豫模糊语言术语集(HFLTSs)描述用户感性评价,基于其数学算子构建犹豫模糊语言共识模型以测度用户认知一致性程度,借助粒子群优化算法(PSO)实现非共识条件下用户评价矩阵的优化与共识达成,通过逼近理想... 相似文献
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针对概念设计中多意象设计方案决策困难的现象,提出了一种产品形态多意象蛛网灰靶决策方法。首先,运用感性工学相关方法获取设计主体的认知数据,结合熵权法及博弈论思想构建基于设计主体认知数据的综合评价模型,并根据各意象的设计主体综合评价数据确定各意象的权重关系;其次,通过人工选择的方式从产品形态进化系统中选择多个进化方案,运用蛛网图表征各进化方案的意象关系,构建多意象蛛网灰靶决策模型,计算决策系数,对其进行比较排序,得到符合设计主体认知的相对最优方案;最后,应用灰色关联分析法验证该决策模型的可行性。结果表明,该模型能够帮助设计师在设计决策阶段快速、准确地确定符合多设计主体认知的多意象方案,为产品方案的多意象决策提供了新的理论和方法。 相似文献
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唐赛军 《数码设计:surface》2010,(4):198-199
随着社会发展,消费者对于产品的精神和情感需求越来越高。因此,如何有效的获取消费者的心理情感需求,并进行有效转化至产品设计之中,成为设计中的新课题。感性工学正是在这种情形下产生,其旨在探求消费者情感与产品特性的对应关系,服务于消费者。本文将以文具设计为例,简述感性工学在文具设计中的应用。 相似文献
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金文婕 《数码设计:surface》2009,(6):181-183
当今已进入"感性消费"时代。这就要求产品设计者不但要了解感性认知如何影响消费者行为。也要掌握体现产品形态语意的符号的获取方式。本文利用心理描述测试法和聚类分析验证了情感矩阵的感性人群分类方式在中国的可适用性。并以座椅为例,利用SD语意差异法和主成因子分析法,对其感性认知经验进行了产品符号的提炼和验证运用。提炼出的产品符号在帮助设计者构思或验证未来感性产品设计这点上具有一定的参考价值和意义。 相似文献
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《Displays》2017
Understanding how to induce Kansei (emotion or affect) in consumers through form is critical in product design and development. Conventional Kansei evaluations, which involve subjectively evaluating the overall form of a product, do not clarify the effects of the individual parts of a product on people’s Kansei evaluation. A microscale analysis of eye movement of people looking at product form may redeem this flaw in subjective evaluation. However, simultaneously recording eye movement when people making Kansei evaluation is challenging, previous studies have typically investigated either the relationship between form and eye movement or the relationship between form and Kansei separately. The eye movement of people while performing Kansei evaluations on product forms still has not been clarified. To address this issue, the present study used an eye tracking system to analyze the changes in the fixation points of people performing various Kansei evaluations. Twenty participants were recruited for 8 Kansei evaluations on the form of 16 chairs by using the semantic differential (SD) rating, while their eye movements on these evaluations were tracked simultaneously. Through factor analysis on the data of Kansei evaluations, two principal factors, valence (pleasure) and arousal, were extracted from the 8 Kansei scales to constitute a Kansei plane which is compatible to Russell’s circumplex model (plane) of affect By adopting the factor scores of the 16 chairs as coordinates, the 16 chairs were mapped into the Kansei plane. Further analysis on the eye fixation on the chairs located in this plane concluded the following results: (a) Pleasure had a more significant effect on the participants’ visual attention compared to arousal; the participants required more fixation points when evaluating the chair form that induced displeasure. (b) The participants typically fixated on two parts of the chairs during their Kansei evaluations, namely the seat and the backrest, indicating that seats and backrests are the two primary features people consider when evaluating chairs. The results clarify the effect of various Kansei on eye movements; thereby enable predicting people’s Kansei evaluations of product forms through analyzing their eye movement. 相似文献
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This study proposes an expert system, which is called hybrid Kansei engineering system (HKES) based on multiple affective responses (MARs), to facilitate the development of product form design. HKES is consists of two sub-systems, namely forward Kansei engineering system (FKES) and backward Kansei engineering system (BKES). FKES is utilized to generate product alternatives and BKES is utilized to predict affective response of new product designs. Although the idea of HKES and similar hybrid systems have already been applied in various fields, such as product design, engineering design, and system optimization, most of existing methodologies are limited by searching optimal design solutions using single-objective optimization (SOO), instead of multi-objective optimization (MOO). Hence the applicability of HKES is limited while adapting to real-world problems, such as product form design discussed in this paper. To overcome this shortcoming, this study integrates the methodologies of support vector regression (SVR) and multi-objective genetic algorithm (MOGA) into the scheme of HEKS. BKES was constructed by training SVR prediction model of every single affective response (SAR). The form features of these product samples were treated as input data while the average utility scores obtained from all the consumers were used as output values. FKES generates optimal design alternatives using the MOGA-based searching method according to MARs specified by a product designer as the system supervisor. A case study of mobile phone design was given to demonstrate the analysis results. The proposed HKES based on MARs can be applied to a wide variety of product design problems, as well as other MOO problems involving with subjective human perceptions. 相似文献
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Yuexiang Huang Chun-Hsien Chen I-Hsuan Cindy Wang Li Pheng Khoo 《International Journal of Industrial Ergonomics》2014
Identifying emotion-related product attributes (perceived by consumers) is no easy task in the realm of emotional design. Conventionally, this process relies heavily on the researchers who conduct the Kansei experiments selecting product attributes such as color, form, and texture for Kansei studies. However, in so doing, other product attributes that also play a vital role in product-emotion associations might be neglected by the researchers. More importantly, the identification of product attributes should be based on consumer's point of view (and feelings). Accordingly, a personal construct theory based product configuration analysis method is proposed in this work. The method develops the customer's mind map for each Kansei tag in order to capture replications of candidate products. A means-value chain is used to generate targets which are later compared with candidate products by consumers. The comparison results could suggest product attributes that are relevant to the desired Kansei. The proposed approach is presented and illustrated using a case study of Graffiti designs on notebooks. Results obtained are discussed. It appears that the proposed method is promising in identifying product attributes with desired Kansei impacts. 相似文献