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A quantitative aesthetic measurement method for product appearance design

Hu, Huicong, Liu, Ying ORCID:, Lu, Wen Feng and Guo, Xin 2022. A quantitative aesthetic measurement method for product appearance design. Advanced Engineering Informatics 53 , 101644. 10.1016/j.aei.2022.101644

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Product appearance is one of the crucial factors that influence consumers’ purchase decisions. The attractiveness of product appearance is mainly determined by the inherent aesthetics of the design composition related to the arrangement of visual design elements. Hence, it is critical to study and improve the arrangement of visual design elements for product appearance design. Strategies that apply aesthetic design principles to assist designers in effectively arranging visual design elements are widely acknowledged in both academia and industry. However, applying aesthetic design principles relies heavily on the designer’s perception and experience, while it is rather challenging for novice designers. Meanwhile, it is hard to measure and quantify design aesthetics in designing artefacts when designers refer to existing successful designs. In this regard, this study aims to introduce a method that assists designers in applying aesthetic design principles to improve the attractiveness of product appearance. Furthermore, formulas for aesthetic measurement based on aesthetic design principles are also developed, and it makes an early attempt to provide quantified aesthetic measurements of design artefacts. A case study on camera design was conducted to demonstrate the merits of the proposed method where the improved strategies for the camera appearance design offer insights for concept generation in product appearance design based on aesthetic design principles.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Additional Information: This is an open access article under the CC BY license (
Publisher: Elsevier
ISSN: 1474-0346
Date of First Compliant Deposit: 23 May 2022
Date of Acceptance: 23 May 2022
Last Modified: 03 May 2023 19:19

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