Consistency and reliability of untrained consumers' perceptions of fabric hand of men's suiting

Abstract

The current study is aimed to analyze the consistency and reliability of untrained consumers' perception of fabric hand. A group of untrained assessors are recruited to evaluate the fabric hand of a number of suit fabrics through free sorting and rating experiments. Two statistical methods have been used to measure the consistency between the sorting and rating data of the assessors in replicated sessions. According to the types of data obtained from different evaluation procedures, different multidimensional scaling techniques are applied to investigate the tactile dimensions, and further on the assessors' preference regarding the total hand of the samples for the end-use of men's suit. It is found that simple sorting and rating procedures are efficient methods for acquiring consistent sensory results from untrained assessors on a relatively large number of textile products, and that multidimensional scaling is an effective technique for interpreting the obtained non-descriptive sensory data.

Analysis and improvement of tactile comfort and low-stress mechanical properties of denim fabrics

“…Tactile sensation can also be investigated by wearable tactile sensors, artificial fingers or subjective sensory tests. 7,10,14,20–24 Considering the number of trials required, the investigation of tactile comfort by trained or untrained participants via sensory tests is more time consuming and difficult when compared to objective measurements, yet subjective evaluation of tactile comfort is quite common and essential for scientific researches. Bertaux et al.…”

“…Xue et al. 23 analyzed the consistency and reliability of untrained consumers' perception of fabric hand. It was reported that simple sorting and rating procedures are both efficient methods for acquiring consistent sensory results from untrained assessors on a relatively large number of textile products.…”

An intelligent method for the evaluation and prediction of fabric formability for men’s suits

“…6,7 Statistical (or classical) methods are capable of solving many modeling problems due to their good capacity of identifying linear patterns embedded in different information sources and then finding correlations between different datasets or attributes from a large quantity of numerical data. Commonly used statistical methods include principle component analysis (PCA), 8,9 multiple factor analysis, 10 multidimensional scaling, [11][12][13] linear regression analysis, 14,15 and various types of correlation coefficient analysis. 16,17 However, they also have drawbacks.…”