Exploring Bionic Design in Product Morphology through Eye Movement Experiments

Abstract

This paper adopts the bionic design principles, the Semantic Differential Method and the experimental tool of Eye Tracker device to develop a more objective and quantifiable design method suitable for bionic design of products. Firstly, the Semantic Differential Method is used with a 7-point Likert scale to screen product samples and emotional intention vocabulary. Principal component and factor analyses are conducted using SPSS software, and the bionic objects for product morphology are identified through the bionic gene database. Secondly, an Eye Tracker device (Tobii Pro Glasses 2) is used to collect data from eye movement for visual analysis of the bionic objects. The key biological morphological features are cognitively ranked based on eye-tracking visualization metrics such as heat maps, total fixation duration, fixation count, and time to first fixation. In this study, we adopted the penguin as the bionic object and obtained a cognitive sequence of its representative biological morphological features. This sequence was then applied to the bionic design of a disinfection robot's morphology, demonstrating the method's applicability and feasibility. It concludes that, in the bionic design of product morphology, the Semantic Differential Method can assist in selecting bionic objects, while eye-tracking technology can effectively analyze the ranking of key biological morphological features. This approach provides new insights and guidelines for the bionic design of product morphology.