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The market for lightweight next-to-skin knitted wool fabrics requires a reliable tactile sensory or handle assessment system. In this paper, eight bipolar pairs of fabric tactile attributes to describe the tactile sensory properties of fifty-two next-to-skin knitted fabrics were evaluated by twelve experienced trained judges. Principal component analysis and partial least squares regression techniques were employed to analyse the tactile sensory data. The results showed that the most agreed tactile sensory dimension amongst the judges only occurred in the first principal component of each of the eight tactile attributes. In conjunction with the judges' loading coefficients on the agreed component, judges were selected for assessing the next-to-skin knitted fabrics. Furthermore, the relationship between the overall tactile quality and the primary tactile attributes was established using a partial least squares regression method, from which the existence of collinearity between the primary tactile attributes was constrained and the overall tactile quality was predicted with a prediction error of 0.48 subjective units on a scale of 1-10.

Currently, textile industrialists have to consider the sensory aspect in their design and manufacturing specifications. To describe the sensory quality of products, sensory evaluation does exist and is widely used in the food and cosmetics areas. These methodologies have been successfully transposed to tactile evaluation of textile fabrics for different textile materials: plain weave fabrics with different post‐treatments and non‐woven are used for medical gowns and drapes. In our study, we have asked our trained panel composed of nine assessors to score a list of already defined sensory attributes for different knitted fabrics made of silk/cotton blends. The spinning parameters which have been changed are the type of silk fibre (three types), blending techniques – intimate and draw frame blending – and the silk content. All these parameters can more or less influence the tactile perception of the final knitted fabric. In this paper, the results of our analysis are presented and discussed in order to answer questions such as: “Are these two fabrics different?”, “What kind of difference is there?” or “What are the sensory characteristics of these fabrics?”. The concrete steps of the evaluation will be presented and specifically the training and performance analysis of the panellists who were obliged to adapt their evaluation procedures to small knitted samples. The protocols used to carry out fabrics description and comparisons when all assessors cannot evaluate all the products under study will also be detailed.

Increasingly consumers are looking for good feeling and comfort when they buy textile goods. To respond to these demands, sensory tools are requested by industrialists to evaluate such notions. Many studies have been performed and many device developments have taken place in the textile area such as mechanical, thermal and surface testing, so as to evaluate the related physical properties, but the links between measurement and the consumer feeling of comfort are still difficult to establish. Based on studies already performed in the food industry, the development of the sensory panel applied to textile goods has been implemented. In this paper, the sensory panel will be developed and some examples will illustrate the different procedures.

The texturalcentric model of visual and tactile response to textural fabric surfaces was used to extract characteristics that could be used to build a construct definition of texture perception. Using multidimensional scaling analysis permitted subjects to provide numeric judgements of fabrics rather than using words with the individual's historic definition of those terms or without knowledge of some terms. Two hundred and forty subjects (50 per cent male, 50 per cent female) provided visual, tactile, or visual and tactile ratings of similarities of fabrics. The 47 fabrics were used in two administrations to ascertain cross‐validation. Data were analysed using M‐D SCAL Version 5M. Dimensions or characteristics of fabric were statistically analysed and named using bipolar adjectives: rough to smooth, plane to depth, irregular to regular surface units, shiny to matt, fine to coarse, light weight to heavy weight, simple to complex, small units to large units, open to compact, and soft to bumpy‐rough.

Examines the eleventh published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

The texturalcentric model of non‐attribute‐based visual and tactile response to textural fabric surfaces was used to elicit definitive qualities or dimensions of textural fabric surfaces. Multidimensional scaling analysis permitted subjects to provide numeric judgements of fabrics rather than using words with individuals' historic definitions of those terms, or without understanding some terms. Objectives of the study included validating the attributes identified by college students, and ascertaining the persistence of attributes that contribute to visual and tactile perception of adult women (25–45 years of age) and older women (60 years of age and older). One‐hundred‐and‐twenty subjects (50 per cent adult, 50 per cent older) provided visual or tactile ratings of the similarities of 30 fabrics. Data were subjected to multidimensional scaling analysis and coefficients of congruence were calculated. Dimensions or characteristics of fabrics were named using bipolar adjectives: rough to smooth, plane to depth, irregular to regular surface units, shiny to matt, fine to coarse, lightweight to heavyweight, simple to complex, hard to soft compressibility, pliable to stiff, harsh to slippery, small units to large units, open to compact, and soft to bumpy‐rough. From these, a schema for the textural perception of fabric surfaces, was modelled.

This study aims to propose and demonstrate a practical application of a new three-part holistic sensory evaluation (HSE) method for textiles and apparel based on the senses of sight, touch, hearing and smell. HSE method development was carefully documented, described and successfully applied to evaluate sensory characteristics and consumer perceptions and acceptance of bacterial cellulose (BC), a novel sustainable material for apparel.

In Part One of the HSE method, research participants described the material in their own words based on the senses of sight, touch, hearing and smell. In Part Two, they rated the intensities and their linking for 25 predetermined attributes describing BC. Part Three measured participants’ overall liking of BC and its perceived suitability for apparel and accessories.

Application of the HSE method resulted in an in-depth understanding of BC material. Areas for material improvements and positive characteristics were identified, providing direction for further development. Consumers found BC suitable for accessories and outer-layer garments but not for apparel.

Sensory evaluation of textiles and apparel has traditionally focused on the senses of touch and sight. The new HSE method allows evaluating the full range of sensory characteristics of materials/products and holistically assessing consumer perceptions. The method is especially useful for novel materials and wearable technology. BC has gained increased interests as a novel sustainable material, yet consumer studies have been lacking. This study reports a comprehensive evaluation of BC material from consumer perspective.

Examines the twelfth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

This paper traces the evolution of objective measurement of textile hand and comfort from Pierce through modern methodology and approaches. Special emphasis is given to discuss the contribution of the Kawabata Evaluation System (KES) towards advancing the state of objective measurement. Laboratory case studies are used to show how data generated by the KES and other instruments can be integrated into a comprehensive approach that attempts to explain human comfort response to garment wear in terms of fabric mechanical, surface and heat and moisture transfer properties.

Touch plays an important role in the evaluations of products. However, prior quantitative touch research does not present a holistic perspective of haptics. This study aims to provide a more comprehensive understanding of haptic information that consumers attain from touch.

Adopting a qualitative research approach, semi-structured, depth interviews were conducted with industry experts.

Based on the findings, this research proposes a conceptual model of consumer haptic perception consisting of seven key influences, namely, the effects of haptic sensation, haptic perception, the influence of individual factors, the influence of external environmental factors, the multi-dimensionality of haptics, haptic cue congruity and haptic dominance.

This study suggests firms to understand the importance of consumers’ haptic perception as an opportunity to engage an individual’s heart and mind through information attained through touch.

This is the first study in marketing to propose a conceptual model of haptics comprising several new haptic influences. This model contributes to the emerging literature of sensory marketing by providing directions for future touch research by capturing the dynamic nature of haptics.

El tacto desempeña un papel importante en nuestras evaluaciones de los productos. Sin embargo, las investigaciones cuantitativas anteriores sobre el tacto no presentan una perspectiva holística de la percepción táctil. Este artículo pretende ofrecer una comprensión más completa de la información táctil que los consumidores obtienen del contacto.

Adoptando un enfoque de investigación cualitativa, se realizaron entrevistas semiestructuradas en profundidad con expertos del sector.

A partir de los resultados, esta investigación propone un modelo conceptual de la percepción táctil del consumidor que consta de siete influencias clave: Los efectos de la sensación háptica, la percepción háptica, la influencia de los factores individuales, la influencia de los factores ambientales externos, la multidimensionalidad de la sensación táctil, la congruencia de las pistas táctiles y la dominancia de la sensación táctil.

Este estudio sugiere a las empresas que comprendan la importancia de la percepción táctil de los consumidores como una oportunidad para captar el corazón y la mente del individuo a través de la información obtenida mediante el tacto.

Este es el primer estudio en marketing que propone un modelo conceptual de la percepción táctil que incluye varias influencias táctiles nuevas. Este modelo contribuye a la literatura emergente del marketing sensorial proporcionando direcciones para la futura investigación táctil al capturar la naturaleza dinámica del sentido del tacto.

触摸在我们对产品的评价中起着重要作用。然而, 在先前定量的触觉研究中并未呈现触觉的整体视角。本文旨在更全面地了解消费者通过触摸获得的触觉信息。

本文采用定性研究方法, 与行业专家进行了半结构化的深度访谈。

本研究提出了一个消费者触觉感知的概念模型, 其中包括七个关键影响因素：触觉的影响、触觉感知、个人因素的影响、外部环境因素的影响、触觉的多维性、触觉线索的一致性和触觉的主导性。

这项研究建议企业了解消费者触觉感知的重要性, 并将触觉信息传达作为吸引消费者心灵的机会。

这是营销领域首次提出触觉概念模型的研究, 该模型包含几种新的触觉影响因素。这个触觉概念模型通过捕捉触觉的动态特性为未来的触觉研究提供方向, 从而为新兴的感官营销文献做出了贡献。