Tactile Perception of Woven Fabrics by a Sliding Index Finger with Emphasis on Individual Differences

Raphael Romao Santos, Masumi Nakanishi, S. Sukigara
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Abstract

Haptic sensing by sliding fingers over a fabric is a common behavior in consumers when wearing garments. Prior studies have found important characteristics that shape the evaluation criteria and influence the preference of consumers regarding fabrics. This study analyzed the tactile perception of selected woven fabrics, with an emphasis on the participants’ individual differences. Individual differences generally are discarded in sensory experiments by averaging them. Small differences among consumers can be important for understanding the factors driving consumer preferences. For this study, 28 participants assessed fabrics with very distinct surface, compression, and heat transferring properties by sliding their index fingers along the surface of the fabric. The participants also engaged in a descriptive sensory analysis. The physical properties of the fabric were measured using the Kawabata Evaluation System for Fabrics (KES-F) system. Moreover, parameters at the finger–fabric interface, such as the contact force, finger speed, and skin vibration, were measured during the assessment. This study used analysis of variance to eliminate nonsignificant attributes. Consonance analysis was performed using principal component analysis (PCA) on the unfolded sensory and interface data matrices. Finally, the physical and interface data were regressed onto sensory data. The results showed that the contact force and finger speed were nonsignificant, while skin vibration was a possible replacement for surface physical properties measured by the Kawabata Evaluation System for Fabrics (KES-F) system with an equal or slightly improved explainability.
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滑动食指对机织织物的触觉感知——强调个体差异
消费者在穿衣服时,通过手指在织物上滑动来进行触觉感应是一种常见的行为。先前的研究已经发现了塑造评价标准和影响消费者对面料偏好的重要特征。本研究分析了所选织物的触觉感知,重点研究了参与者的个体差异。在感官实验中,个体差异通常通过平均来忽略。消费者之间的微小差异对于理解驱动消费者偏好的因素很重要。在这项研究中,28名参与者通过食指沿着织物表面滑动来评估具有非常不同表面、压缩和传热性能的织物。参与者还进行了描述性感官分析。采用川端机织物评价系统(KES-F)对织物的物理性能进行了测定。此外,在评估过程中测量了手指与织物界面的参数,如接触力、手指速度和皮肤振动。本研究使用方差分析来消除非显著属性。使用主成分分析(PCA)对展开的感觉和界面数据矩阵进行和声分析。最后,将物理和界面数据回归到感官数据。结果表明,接触力和手指速度不显著,而皮肤振动可以替代Kawabata评价系统(KES-F)系统测量的表面物理性能,其可解释性相同或略有提高。
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