Biometric Technology Today, Vol. 2025 No. 1 (0): Theme: The Adaptive Biometric Technology: Innovations in AI, Security, Data Mining, and Network Optimization, Theme: Adaptive Biometric Technology: Innovations in AI, Security, Data Mining, and Network Optimization

Research on User Perception Imagery-Based Experience Analysis and Associated Factors of Bamboo Chairs

Authors

  • Yu Jin , Guangdong University of Technology, Guangzhou, Guangdong, 510000, China
  • Wen Zhang East China Jiaotong University, Nanchang, Jiangxi, 330013, China

Keywords:

Bamboo chair, User perception, Correlation study, Affective engineering

Abstract

This study aims to analyze the user experience of bamboo chairs from a perception imagery perspective and explore the relationships between various factors and the dimensions of chair experience. The goal is to provide a scientific basis for enhancing the aesthetics, comfort, and safety of bamboo chair designs. [Methods] From the perspective of affective engineering, a combination of Semantic Differential (SD) method, factor analysis, and psychological scale techniques was used in the study. [Results] Fifteen decomposed factors significantly influenced aesthetics, comfort, or safety, playing a key role in the user experience of bamboo chairs. [Conclusion] (1) The design of bamboo chairs should prioritize the unique characteristics of bamboo as the primary consideration. (2) The design should focus on the smoothness of the overall shape. (3) Strengthening ergonomic factors not only improves the comfort of bamboo chairs but also significantly enhances their aesthetic appeal. 

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Published

2025-06-11

Issue

Section

Theme: Adaptive Biometric Technology: Innovations in AI, Security, Data Mining, and Network Optimization