Fashion and Textiles最新文献

With the rapid expansion of e-commerce, consumers increasingly rely on online platforms to purchase fashion products. However, the vast selection of products often leads to choice overload, making it challenging for consumers to find products that meet their needs. To address this challenge, we propose an advanced Conversational Recommender System (CRS) that applies a Functional, Expressive, and Aesthetic (FEA) consumer needs model. Using this model as a theoretical framework, this study constructs a taxonomy of consumer needs organized into categories and subcategories, each containing multiple attributes, and uses a Large Language Model (LLM) to apply it to review data, extracting attributes that influence purchase intention. Furthermore, CRS experiments were conducted to assess the impact of consumer needs attributes on recommendation performance. Our results indicate that the FEA model-based consumer needs taxonomy effectively categorizes consumer needs, with ease, good value for money, and leg contouring emerging as the most frequently mentioned attributes. Moreover, consumer needs attributes vary across different pants types, highlighting the importance of need-aware recommendations. Experimental evaluation of the CRS demonstrates that incorporating consumer needs attributes improves the recommendation success rates and reduces the average number of turns. Through the empirical application of the FEA model in the CRS, this study demonstrates its effectiveness in improving recommendation performance and its potential in enhancing consumer satisfaction.

Previous studies on fashion criticism have predominantly focused on theoretical reviews, offering limited practical methodologies for engaging in fashion criticism. To address this gap, the primary objective of this study is to propose and empirically validate a contemporary fashion criticism model that bridges the divide between theoretical understanding and practical application. Two research questions are addressed: First, what are the essential elements of a contemporary fashion criticism model that differentiate it from traditional art criticism? Second, what factors are necessary to ensure that a contemporary fashion criticism model is grounded in practical relevance? The study employed formative research to develop and validate the model. A basic model was initially constructed using basic and supplementary elements derived from art criticism models. The proposed model then underwent multiple rounds of internal and external validation by eight experts. The Content Validity Index and Inter-Rater Agreement were used to assess content validity, while external validation was conducted through the experimental application of the developed model in critiquing fashion objects and in-depth interviews. The finalized model consists of 7 procedures and 14 detailed criteria, all confirmed for validity and reliability. This model integrates diverse perspectives on contemporary fashion criticism, reflecting its “situationality,” which contrasts the relatively static nature of art criticism. It serves as a valuable and versatile tool for objectively assessing contemporary fashion, providing a foundational benchmark for experts and broader audiences alike.

The widespread impacts of industrial air pollutants address the urgent need for advanced filtration technologies mitigating various environmental pollutants. This study conducted comparative investigations of zinc oxide (ZnO) and zeolitic imidazolate framework-8 (ZIF-8) treated fibrous composites with subsequent corona charging, to apply as a dual-function air filter that is simultaneously protective against particulate and gaseous matters. While both ZnO and ZIF-8 presented charge-trapping capability, the uniform coating of ZIF-8 nanocrystals on the fibrous material, rather than uneven coating of ZnO aggregates, produced higher charging capacity, leading to a superior electrostatic filtration efficiency. On the other hand, agglomerates of ZnO crystals in the fibrous web advantageously affected the mechanical filtration efficiency, especially in the layered structure. Concerning the SO₂ gas adsorption capacity, the inherent pore characteristic of ZIF-8 allowed a superior gas removal performance. The SO₂ adsorption was hardly influenced by the post-corona charging process, either for ZnO or ZIF-8 treated composites. This study highlights the advantages of ZIF-8 integration in fibrous composites for the advanced design of dual filters, where ZIF-8 integration not only gives high gas removal performance but also significantly enhances charge trapping ability and the associated electrostatic filtration performance.

Automating the drafting process significantly reduces time and cost, previously dependent on the personal intuition and expertise of pattern makers. Moreover, it has the potential to contribute to the automation of the entire production process. However, the integration of algorithms into the patterns is necessary to automate the drafting of patterns directly on computers based on the pattern maker's intuition. Parametric patterns, which express the silhouette, a formative constraint intimately linked to the pattern, through drafting formulas utilizing key body dimensions as variables, present a promising alternative for the automation of the drafting process. This study develops parametric production patterns for automated garment manufacturing processes by integrating ease allowances and design elements into basic patterns. Leveraging the zero-ease allowance pattern from previous studies, we created basic parametric patterns by incorporating constant values into the ratio formula of parametric nude patterns. Subsequently, the rules for applying design elements were added to develop production patterns of various sizes. The developed patterns were compared with those generated using conventional grading methods. The results indicate that the parametric production patterns closely maintain fit and silhouette, demonstrating their potential as automated alternatives to conventional drafting methods solely based on size specifications and body measurements. Furthermore, we believe that through subsequent studies and analyzing a broader range of garment types and sizes, the methodology of the parametric production pattern developed in this research will contribute to establishing foundational algorithms for automating the process of garment pattern generation.

This study focused on creating honeycomb samples using various lightweight polylactic acid (LW_PLA) filaments through 3D printing. A commercial lightweight filaments like PLA(Esun), LW-PLA-ES(Esun), LW-PLA-CL(colorffab), and LW-PLA-HT (colorfab) were used to model 50 mm × 50 mm × 5 mm honeycomb samples, 3D printed with an infill density of 10% and nozzle temperatures ranging from 200 ℃ to 240 ℃ at a 10 ℃ interval. The LW_PLA_CL samples were also printed with different infill densities of 10%, 20%, 30%, 40% and 50% at 230 ℃ and 240 ℃, with a bed temperature of 65 ℃ and a print speed of 60 mm/sec. Characterization involved morphology and compression tests, including surface and foaming analysis via a field emission scanning electron microscope. Compression tests with a universal testing machine revealed that LW_PLA_CL at 240 ℃ and 50% infill density produced the most effective honeycomb structure, offering the best foaming properties and good compressive properties, improving mechanical performance for diverse applications.

This study investigates the integration of ultrasonic cavitation and enzymatic activity within a wet-cleaning framework to enhance washing efficiency and minimize deformation in wool-knitted fabrics. Unlike previous studies using standard contaminated fabrics, this research employed 100% wool yarns to create knitted fabrics, which were deliberately contaminated with oils and insoluble particles. This approach ensured consistent evaluation of washing efficiency, appearance, and dimensional changes using identical samples, providing a reliable assessment of washing effects. The experimental revealed that the combination of ultrasonic washing and enzyme detergent outperformed mechanical washing and ultrasonic washing with neutral detergent in terms of soil removal performance. The enzyme detergent improved cleaning performance by cleaving peptide bonds in keratin, while ultrasonic treatment reduced friction, minimizing fabric damage and preserving dimensional stability. After 10 wash cycles, tensile strength decreased under all conditions; however, ultrasonic washing resulted in a lower weight loss (3%) compared to mechanical washing (6%). Furthermore, ultrasonic treatment partially removed the epicuticle, reducing felting and limiting shrinkage and thickness increase. This study confirms that ultrasonic washing, when combined with enzyme detergents, produces a synergistic effect, offering a sustainable and effective wet-cleaning method. These finding are expected to provide valuable insights for the development of future textile care practices.

This research addresses the need for inclusive innovation and research in the disability-inclusive fashion domain. We conducted a qualitative study to understand the barriers that male consumers with physical disabilities face in their clothing consumption experiences by applying grounded theory. To gain a comprehensive understanding of these barriers, we explored sociopsychological and fashion consumption-related factors alongside conventional functional considerations that influence their formation. Additionally, we suggested potential solutions to mitigate these barriers. Data for this exploratory qualitative study were collected through in-depth interviews with nine disabled male participants and four caregivers, combined with participatory observation, which was instrumental in building a strong rapport between the interview participants and the researcher. The findings suggest three dimensions of the barriers—functional, sociopsychological, and fashion consumption—and underscore the importance of sociopsychological influences in shaping their clothing consumption experiences. Furthermore, we emphasize the need for a universal fashion market that embraces both disabled and non-disabled consumers regardless of their physical attributes. To achieve this new direction in the fashion domain, it is necessary to leverage fashion industry advancements, such as mass customization with cutting-edge technologies, to address these multifaceted challenges. The research outcomes contribute to the advancement of disability-inclusive fashion and aim to enhance the overall well-being of individuals with disabilities. The research outcomes contribute to the advancement of disability-inclusive fashion and aim to enhance the well-being of individuals with disabilities by providing empirical insights into their lived clothing consumption experiences and offering actionable strategies for the development of inclusive fashion products.

Accurate digital reconstruction of the human body is critical for a wide range of applications, including apparel design, ergonomic evaluation, and biomedical engineering. This study introduces a novel 3D human modeling framework that combines skeleton-driven deformation algorithms with high-resolution 3D body scan data to generate anatomically accurate virtual bodies. The proposed method was benchmarked against two widely adopted modeling systems—the Skinned Multi-Person Linear (SMPL) model and the CLO 3D avatar—using a representative female scan from the Size Korea anthropometric dataset as a reference. Comparative evaluations were conducted across multiple dimensions, including anthropometric measurement accuracy and geometric surface fidelity. The SMPL model consistently overestimated key body dimensions due to its reliance on global average parameters, while the CLO 3D model tended to underestimate volumes, particularly in anatomically complex regions. Both models exhibited limitations in reproducing local morphological features such as curvature transitions and subcutaneous contours. In contrast, the proposed model achieved superior alignment with the reference scan, demonstrating statistically non-significant deviations in most measurements and enhanced surface realism. Additionally, an automated measurement module was developed to extract standardized anthropometric values from the mesh with high precision. These results validate the effectiveness of the proposed system as a robust tool for human-centered applications requiring high-fidelity modeling and optimized fit in mass-customized product development environments.

Clothing hinders heat and moisture transfer from the skin to the environment, potentially disrupting thermoregulation during exercise in hot conditions. We therefore sought to determine whether wearing a newly developed T-shirt, designed to enhance breathability when dampened with sweat, would improve the clothing microclimate and thermoregulatory responses during a hot outdoor running. Eleven male distance runners were evaluated over two separate days, each involving two consecutive 30-min outdoor running sessions at a target heart rate of 120–130 bpm. A single-blind randomized crossover design was employed wherein participants wore a conventional polyester T-shirt (CON) during the first session on both days but changed into either the new fabric T-shirt (Dry Aeroflow [DAF]) or another CON for the second session. To account for uncontrolled outdoor conditions, responses during the first sessions of both days were compared, confirming no significant day-to-day differences in most variables. In the second session, wearing DAF reduced the intra-clothing humidity on the chest (p = 0.004) and back (p = 0.048) by 4.3% and decreased the upper arm skin temperature by 0.3 °C (p = 0.033) compared to wearing the CON. However, no differences in gastrointestinal temperature, mean skin temperature, or whole-body sweat rate were observed between the T-shirts (all p ≥ 0.178). These findings suggest that although the functional T-shirt improved the clothing microclimate and decreased the local skin temperature, these effects were likely marginal and did not significantly affect systemic thermoregulatory responses (e.g., core temperature, sweat rate) during outdoor running in a hot environment.