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A virtual evaluation system for product designing using virtual reality

delete2023-08-16
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PRE
AI
Y
Yuyang Wang
Q
Qiwei Liu *
DOI:10.1007/s00500-023-09092-xdelete
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摘要

摘要

En 中文
The fast advancement of science and technology has transformed product designing by allowing designers to produce high-quality goods that fulfill the needs of customers and industries. With its realistic visual effects and immersive experience, virtual reality (VR) offers a new method of product designing by replacing expensive and inflexible physical prototypes. This research paper discusses an evaluation system for virtual product designing using VR-assisted approach to overcome these issues. The proposed approach aims to offer a quick and low-cost method for reviewing and analyzing product ideas. It uses a product display system for professionals to evaluate the designs and allows the experts to assess the product programs using evaluation indexes. The analysis procedure is based on evaluations of user experiences, which are divided into three categories: behavior layer experience, sensor layer experience, and reflection layer experience. The evaluation index structure is built using a hierarchical inference approach. The experimental findings performed in the study demonstrate the superiority of the proposed algorithm and system over existing algorithms and systems. The proposed algorithm regularly obtains higher prediction values by demonstrating improved predictive accuracy for athletic performance. Furthermore, the proposed system has increased variety, significant variances, and statistical significance when evaluating product design, resulting in higher customer satisfaction. These findings illustrate potential of the suggested approach to improve product design and overall consumer pleasure by providing significant insights for the engineering and industrial sectors.
Keyword:
Virtual reality
Product design
Evaluation system
Fuzzy comprehensive evaluation algorithm
3D object

期刊

Soft Computing 封面图
Soft Computing
IF:
2.5
论文数:
1.0W
被引数:
2.1W

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