Abstract
This study used exploratory factor analysis (EFA) to help students classify and apply descriptive adjectives to the exterior design of electric vehicles, enhancing their sensory abilities through visual aids. The research involved two main phases. First, sharp and rounded edges were selected, and 300 adjectives were categorized from vehicle models. After screening by 25 participants, eight adjective groups were chosen: "streamlined," "flexible," "smooth," "comfortable," "well-proportioned," "modern," "stable," and "neat." Next, the data was collected through online questionnaires with images of 30 vehicles and evaluated according to the adjective groups. After selecting 30 representative models, 60 valid questionnaires were collected to analyze key design factors. SPSS analysis revealed two key components: "modern and smooth" and "stable and comfortable," explaining 90.35% of the total variance. The results show that the adjectives can be grouped into two main factors, providing a precise basis for evaluating electric vehicle design. The study enhanced participants' knowledge of the design vocabulary. It introduced an alternative to thinking in electric vehicle design and educational research for increased critical thinking / psychomotor integration.
Author Information
Yenwen Chen, National Cheng Kung University, Taiwan ROC
Meng-Dar Shieh, National Cheng Kung University, Taiwan ROC
Paper Information
Conference: IICE2025
Stream: Design
This paper is part of the IICE2025 Conference Proceedings (View)
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To cite this article:
Chen Y., & Shieh M. (2025) Exploratory Factor Analysis Applied to the Study of Sensory Vocabulary in the Exterior Design of Electric Vehicles ISSN: 2189-1036 – The IAFOR International Conference on Education – Hawaii 2025 Official Conference Proceedings (pp. 361-369) https://doi.org/10.22492/issn.2189-1036.2025.31
To link to this article: https://doi.org/10.22492/issn.2189-1036.2025.31
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