Open AccessResearch on Form Design of Automotive Dashboard Based on Kansei Engineering
Author(s) -
Hong Ren,
Yupeng Tan,
Ningning Zhang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/573/1/012090
Subject(s) - kansei engineering , dashboard , automotive industry , kansei , perception , process (computing) , computer science , engineering , engineering design process , human–computer interaction , artificial intelligence , automotive engineering , psychology , mechanical engineering , operating system , neuroscience , aerospace engineering
Understanding the driver’s emotional needs for the dashboard is crucial to the success of vehicle design. In order to reduce the psychological burden of drivers in obtaining on-board information, the image of automobile dashboard was visually described and quantitatively analyzed with applying Kansei Engineering theory and the principle of Quantitative Class I. The predictive model between the adjectives of vehicle dashboard shape and perceptual image was established by using multiple linear regression analysis method, and the relationship between perceptual image and design elements was analyzed. The results show that the main sensory factors of shape design should be gentle and comfortable in the process of automobile dashboard design. To improve the fit between automobile dashboard design and driver’s perceptual needs by transforming driver’s emotional perception into design elements.