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The purpose of this paper is to analyse the seersucker fabrics from the point of view of their ability to ensure the thermo-physiological comfort. It was investigated how the kind of the weft yarn and seersucker structure influence the air permeability and thermal insulation properties of the fabrics.

The paper presents the investigations of the typical seersucker fabrics made of the same set of warps and different weft yarns. Fabrics were manufactured on the same loom with two warp beams. Next they were finished by the same way including washing, drying and stabilisation processes. Fabrics were measured in the range of their air permeability using standard test method. Thermal insulation properties of fabrics were measured in dry and wet state by means of Alambeta. Surface topography of the seersucker fabrics was analysed using 3D laser scanning.

On the basis of the obtained results it was stated that due to the puckered structure the seersucker fabrics are characterised by high thermal resistance, several times higher than the thermal resistance of typical flat woven fabrics. The seersucker fabrics are characterised by very low value of the thermal absorptivity in wet state at the level appropriate for typical flat fabrics in dry state. It confirmed that the seersucker fabrics ensure the physiological comfort. Application of the elastomeric yarn in weft caused significant tightening the fabric structure. It resulted in low air permeability, fabric stiffness and unpleasant hand.

As a limitation of the investigation of the seersucker fabrics in wet state we can mention the surface topography of the fabrics. It made wetting the fabrics difficult before measuring. It is necessary to elaborate precise procedure of preparation of seersucker fabrics before their testing in the wet state.

Performed investigations showed that the seersucker fabrics have a big potential to be comfortable. By an appropriate designing of their structure it is possible to achieve very good comfort-related properties even without application of innovative comfort-oriented yarns.

The originality of the paper is based on the fact that the measurement was performed for the seersucker fabrics. The fabrics are characterised by the unique structure which influences their appearance and utility properties. It caused that they are willingly applied in different kinds of clothing. Till now any results of comfort-related properties of such kind of the woven fabrics have not been published.

This paper aims to investigate the influence of picking sequence, weave design and weft yarn material on the thermal conductivity of the woven fabrics.

This work includes the development of 36 woven samples with two weave designs (1/1 plain and 3/1 twill), three picking sequences (single, double and three pick insertion) and six different weft yarn materials (cotton, polyester having 48 filaments, polyester with 144 filaments, spun coolmax having Lycra in core and coolmax in sheath, filament coolmax and polypropylene). The thermal conductivity was measured using ALAMBETA tester.

The results showed that weft yarn material, weave design and picking sequence have a meaningful impact on the thermal conductivity of woven fabric. The value of thermal conductivity was lowest for the fabrics with three pick insertion and 3/1 twill weave in all weft yarn materials.

Plain woven fabric with single pick insertion is feasible for summer wear to enhance the comfort of wearer. By changing the warp yarn grouping and material, improved thermal conductivity/resistance can also be achieved.

The authors have studied the combined effect of different weft yarn materials with different picking sequences and different weave designs on thermal conductivity of the woven fabrics.

Fabrics’ thermal properties greatly influence human comfort during wear. For this reason, fabrics with optimum thermal properties need to be developed. This paper aims to investigate the effect of weft yarn twist levels on thermal and surface properties of 100 per cent cotton woven fabrics.

Five types of plain woven cotton fabrics were manufactured using weft yarns with 900, 905, 910, 915 and 920 twists/meter (Tpm). The other parameters of the samples as count, thread density and fabric structures were kept constant. Fabric thermal properties were evaluated by measuring its thermal conductivity, thermal resistance, actual insulation, water permeability, air permeability and wicking ability. The fabric compression and surface properties were also evaluated because they contribute to the overall clothing comfort.

The results showed that actual insulation and thermal resistance property decreased with an increase in twists/meter of the weft yarn. However, thermal conductivity does not significantly change while fabric compression reduced with an increase in twist as the surface roughness increased.

Comfort is a fundamental requirement in human daily existence, and it is greatly influenced by clothing, which comes in close contact with the human skin. Fabrics’ thermal properties greatly influence human comfort during wear. For this reason, fabrics with optimum thermal properties need to be developed.

The purpose of this research is to conduct an exploratory study to discover if presenting consumers with a certain content type (i.e. product-focused content with informational appeal, institution-focused content with emotional appeal, experience-focused content with emotional appeal,) and blog type (i.e. a corporate, sponsored or a personal blog) persuade consumers to form perceptions of credibility and similarity toward the fashion brand, which leads them to further engage with the brand through Electronic Word of Mouth (eWOM).

This study employs a 3(content type: product-focused, institution-focused, experience-focused) x 3(blog type: corporate, sponsored and personal) between-subjects design. Mock fashion blogs and content were developed in order to provide a realistic blogging experience for the participants. With 511 usable data collected, ANOVA was employed to test the relationships.

Findings reveal that content type, specifically product-focused content and experiential content, is an important consideration for illustrating similarities between the brand and consumers compared to institutional content. Product-focused content is found to be effective in encouraging consumer eWOM for the brand as well. Further, the interaction effect of blog type and content type was significant in establishing brand credibility. However, blog type did not influence any of the dependent variable.

This study brings meaningful suggestions to fashion brands on effective blog campaign, which eventually provide insights on how brands can influence female consumers to shape positive evaluation toward the brand.

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.

Reports a survey of fabric handle preferences for a range of 50 men’s shirting materials. A total of 199 judges were divided into two panels according to their experience in the textile and clothing industry. Low levels of agreement were found which signify the errors inherent in subjective assessment of fabric handle. The analysis was extended to include fabric assurance by simple testing (FAST) data on the mechanical properties of these fabrics in order to establish whether there was any relationship existing between the judges’ preferences and the fabric mechanical parameters. Highlights shear rigidity, formability and bending rigidity as the most influential properties for the determination of fabric total hand value (THV). Moreover, establishes a validated THV equation to predict fabric handle assessment by using objective data. Demonstrates that the mean of the assessment and a substantial amount of individual subjective handle assessment can be explained by the model.

The purpose of this paper is to create a fabric retrieval system for designers that is based on a database that includes designers’ criteria and Kansei (sense and feeling) information, designed for the selection of a fabric from a wide range in e-commerce.

The database included sensory expressions for each type of fabric taken from fashion journals and values of smoothness, softness, luster and thinness (referred to as Kansei values) for each fabric. The Kansei values were determined by a Japanese expert designer using standard fabric samples of a fabric type. The system uses two search methods to find the desired type of fabric: a category search method and a free word search method. After finding appropriate types of fabric, the user further narrows down the fabrics of the selected type to more suitable fabrics using the Kansei values. The validity of the Kansei values and the effectiveness of the system were verified by 11 professional designers from Japan and Sweden.

The Japanese and Swedish designers were satisfied with the fabrics retrieved for specific items and found that the system was effective. The Kansei values were similar among fashion designers and shown to be effective for fabric retrieval.

The system will allow designers to find appropriate types of fabric and to narrow their search for fabrics among selected types to find candidate fabrics easily and quickly with their Kansei values and experience without technical knowledge of fabrics.