袋包織物質感與感覺意象對應關係之研究

Abstract

紡織品之終端產品設計，應如何掌握織物特性，除了形狀、色彩外，質感是設計中，不可或缺的要素。而質感構成要素為何，在織物本身除物理特徵的構成外，是否具有知覺與心理感覺特徵，而其兩兩之間對應關係又如何？本研究將針對織物質感意象進行相關探討。 本研究以皮包常用織物為實驗樣本，採用專家訪談、問卷調查、以受測者進行樣本測試等方法，來探討織物的質感意象。首先藉由問卷及文獻，收集織物質感形容詞，經篩選獲得二十二對有關織物的知覺和心理感覺形容詞。接著分別進行男女兩性，對質感的感覺意象評量（SD法）、質感相似性分群等調查，再透過因子分析、迴歸分析、多向度評量法（MDS）等統計方法，藉以瞭解織物的物性，與人們的知覺、心理感覺，及此三類織物特性彼此間，所構成的對應關係；並將因子分析中的因子一和因子二的意象空間關係，與多向度評量的織物認知空間分佈，作分析比較。最後，將統計所得資料，進行複迴歸分析，分別獲得織物的物理特性與知覺、心理感覺之對應關係，及知覺與心理感覺之間的相互對應關係。 本研究結果顯示，男女性對織物的感覺意象，在知覺感覺意象與心理感覺意象的差異性不大；但是在織物質感認知空間上，則有些細節性的差異。而因子分析中的因子一和因子二的意象空間，與多向度評量的織物認知空間分佈相當近似。此外，本研究也歸納出織物物性與知覺、心理感覺，彼此間對應關係的設計原則，以供織物產品設計初步參考應用。

Besides of shape and color, texture is the most important characteristic of textile to be considered in bag design. What elements consist of textural image? Can we distinguish perceptual elements from cognitive elements in textural image? What is the relationship between these two elements? What is the relationship between textural images and physical features of fabrics? To answer these questions, this study was conducted. In this study, sixty kinds of fabrics commonly used in bags were adopted as test samples. Based on literature reviews as well as experts, advice, twenty-two pairs of opposite adjectives were decided as scales for making semantic differential judgements on the sixty test samples of fabrics by both male and female subjects, respectively. These subjects were also asked to make evaluations of textural similarity among the sixty test samples by grouping the samples of similar textural image together. Through factor analyses on the collected data, the consisting elements of textural image were revealed. According to factors derived, an image space of textile texture was constructed. From a further series of factor analysis, the relationship between perceptual and cognitive elements in textural image have been concluded. The analysis of MDS have resulted another set of perceptural maps of textile texture for male, female and all subjects, respectively. On comparing these maps with the image space from factor analysis, some deeper insights on textural image of people have been summarized. The analyses of multiple linear regression have generated a set of equations denoting the influential physical features on various textural images. The result shows that the textural images between males and females are not different, although the perceptural maps from MDS reveal that females are more sophisticated in distinguishing textural image among fabrics. Since the image plane consisted by the first and second factor of factor analysis is almost identical to perceptual map from MDS, the reliability and appropriateness of these analyses can be assured. The result of analyses of mutiple linear regression have been summarized as a check list for assisting bag designers to select proper fabrics on expressing a specific textural image.