Katherine Celia Greder, Jie Pei and Jooyoung Shin
The purpose of this study was to create a corset—understructure as well as fabric covering—using only computational, 3D approaches to fashion design. The process incorporated 3D…
Abstract
Purpose
The purpose of this study was to create a corset—understructure as well as fabric covering—using only computational, 3D approaches to fashion design. The process incorporated 3D body scan data, parametric methods for the 3D-printed design, and algorithmic methods for the automated, custom-fit fabric pattern.
Design/methodology/approach
The methods or protocol-based framework that nucleated this design project (see Figure 1) enabled more concentrated research into the iterative step-by-step procedure and the computational techniques used herein.
Findings
The 3D computational methods in this study demonstrated a new way of rendering the body-to-pattern relationship through the use of multiple software platforms. Using body scan data and computer coding, the computational construction methods in this study showed a pliant and sustainable method of clothing design where designers were able to manipulate the X, Y, and Z coordinates of the points on the scan surface.
Research limitations/implications
A study of algorithmic methods is inherently a study of limitation. The iterative process of design was defined and refined through the particularity of an algorithm, which required thoughtful manipulation to inform the outcome of this research.
Practical implications
This study sought to illustrate the use and limitations of algorithm-driven computer programming to advance creative design practices.
Social implications
As body scan data and biometric information become increasingly common components of computational fashion design practices, the need for more research on the use of these techniques is pressing. Moreover, computational techniques serve as a catalyst for discussions about the use of biometric information in design and data modeling.
Originality/value
The process of designing in 3D allowed for the dynamic capability to manipulate proportion and form using parametric design techniques.
Details
Keywords
Sensuality is a dynamic that has driven fashion to undergo endless changes and left distinctive imprints on the style of each period. Particularly in the fashions of the 19th…
Abstract
Sensuality is a dynamic that has driven fashion to undergo endless changes and left distinctive imprints on the style of each period. Particularly in the fashions of the 19th century, sensuality played a crucial role in shaping the essence of contemporary dress aesthetics, as well as the physical form of the dress. This study begins by questioning how sensuality, a concept of ideal aesthetics, can be represented in a visual form. In order to provide the answer to this question, the formative representation of sensuality in 19th century fashion is examined by considering the major factors that affect dress form, such as silhouette, material, the body and movement, and space. Based on the analysis, a close connection between sensuality and the dress form designed to reflect the body and its movement is established. Interaction between the dress, body, and their surrounding space creates a discontinuous, changeable, and obscure silhouette, known to be a criterion of the open form. In conclusion, sensuality can be more explicitly and conspicuously observed in dresses through the formative characteristics of an open form. Fashions of the early, midand late 19th century are compared to illustrate the analysis.
Details
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Tayfun Yörük, Nuray Akar and Neslihan Verda Özmen
The purpose of this study is to reveal the research trends in guest experiences of service robots in the hospitality industry.
Abstract
Purpose
The purpose of this study is to reveal the research trends in guest experiences of service robots in the hospitality industry.
Design/methodology/approach
In this study, a review was carried out on the Web of Science (WoS) database with the assistance of bibliometric analysis techniques. Cluster analysis was also employed for this to group important data to determine the relationships and to visualize the areas in which the studies are concentrated. The thematic content analysis method was used to reveal on which customer experiences and on which methods the focuses were.
Findings
On the subject of experiences of service robots, the greatest number of publications was in 2021. In terms of country, China has come to the fore in the distribution of publications. As a result of thematic content analysis, it was determined that the leading factor was the main dimension of emotional experience. In terms of sub-dimensions, social interactions attracted more attention. Most of the studies discussed were not based on any theory. Apart from these, the Technology Acceptance Model (TAM), the Service Quality Model (SERVQUAL) and Perceived Value Theory (PVT) were featured more prominently among other studies.
Research limitations/implications
In this study, only the WoS database was reviewed. In future studies, it would be possible to make contextual comparisons by scanning other databases. In addition to quantitative research designs, social dimensions may be examined in depth following qualitative research methods. Thus, various comparisons can be made on the subject with mixed-method research designs. Experimental research designs can also be applied to where customers have experienced human-robot interactions (HRIs).
Originality/value
In the hospitality industry, it is critical to uncover every dimension of guests' robot acceptance. This study, which presents the current situation on this basis, guides future projections for the development of guest experiences regarding service robots in the hospitality industry.