Article
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Preserved in Portico This version is not peer-reviewed
Study on Imagery Modeling of Solid Wood Chairs in Big Data
Version 1
: Received: 2 March 2023 / Approved: 6 March 2023 / Online: 6 March 2023 (02:02:30 CET)
How to cite: Xu, L.; Pan, Y. Study on Imagery Modeling of Solid Wood Chairs in Big Data. Preprints 2023, 2023030078. https://doi.org/10.20944/preprints202303.0078.v1 Xu, L.; Pan, Y. Study on Imagery Modeling of Solid Wood Chairs in Big Data. Preprints 2023, 2023030078. https://doi.org/10.20944/preprints202303.0078.v1
Abstract
With the continuous improvement of people's quality of life and aesthetics, furniture products have higher requirements. Excellent solid wood chairs are the most representative products in furniture to enhance space and taste and whose design may significantly impact consumers' emo-tional experience and purchase decisions. This study aims to evaluate how the modeling imagery of solid wood chairs affects user preferences and emotional experiences. The development of the current era is inseparable from the analysis of big data. Firstly, a representative sample was ob-tained by multidimensional scaling (MDS), and the sample was analyzed and evaluated by fac-tor analysis. Moreover, five groups of adjective vocabulary were selected to describe the model-ing imagery of solid wood chairs, such as "balanced and coordinated", "unique and novel", "prac-tical and simple", "quality and detailed" and "traditional and plain". Further, the triangular fuzzy theory was applied to analyze and discuss the 12 types of solid wood chairs in the five groups of adjective vocabulary. Then the study verified that the differences in the evaluations of the 12 sam-ples in the "unique and novel" and "quality and detailed" groups were significant, but more minor differences in the groups of "traditional and plain", "balanced and coordinated" and "practical and simple". Through comprehensive comparison, five groups with similar modeling imagery were created, and solid wood chairs with different modeling imagery should be placed in suita-ble spaces. According to the results of this study, the evaluation of the modeling imagery of solid wood chairs can not only rely on subjective judgments but can be reasonably described through data analysis and mathematical algorithms. It can scientifically and effectively reflect the poten-tial perception needs of consumers on the modeling imagery of solid wood chairs, as well as help to improve the design efficiency of the furniture product development stage.
Keywords
Furniture design; Multidimensional scaling; Kansei engineering; Modeling imagery; Factor analysis; Triangular fuzzy theory
Subject
Engineering, Industrial and Manufacturing Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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