Target Mining and Recognition of Product Form Innovation Design Based on Image Word Similarity Model

Abstract

Product Kansei image design is one of the research hotspot of product emotional design. Due to the subjectivity, low efficiency, and low level of intelligence in the existing product form innovation design methods in the mining of design goals. This study combines the semantic dictionary of Tongyici Cilin with Kansei engineering theory and uses clustering analysis algorithm, semantic difference method, and word similarity calculation method to realize product Kansei image design. Tongyici Cilin is a computable Chinese semantic dictionary. In this study, we innovatively introduced Tongyici Cilin into the image word similarity calculation in product image design. First, the product image design process based on Tongyici Cilin is proposed. Then, we establish a model of image word similarity calculation using the common distance, difference distance, common adjustment parameter, and differential adjustment parameter. By comparing with international standard data, it is confirmed that the image word similarity calculation model proposed in this article is effective and efficient. Using the sedan image design of middle-aged, middle-income men as an example, the sedan form style of each target image was successfully derived from the Internet-based questionnaire. Based on the case studies, we determined that it is effective to use the Tongyici Cilin semantic dictionary to determine the target image and improve the efficiency of product image design.

Implementation of the Similarity Principle in a Series of Design Objects by Future Graphic Designers

“…Основою для формування серії об'єктів дизайну з урахуванням семантичної подібності (кількісної оцінки сили семантичних зв'язків між окремими компонентами серії) може стати полісемія (співіснування кількох значень), абстракція (узагальнення конкретних слів, без їх деталізації), інформація (у вигляді одиниць мови у спільному контексті). Проєктування об'єктів дизайну, що поєднані в серію на основі семантичної подібності, за Q. Zhang, складається із п'ять етапів: визначення проєктного завдання, підбір слів-образів і зовнішнього вигляду об'єктів на основі семантичної подібності, відбір цільових слів-образів із сукупності, визначення характеристик образів та визначення єдиного стилю зображення (Zhang et al, 2022).…”

Product Styling Cognition Based on Kansei Engineering Theory and Implicit Measurement

“…This study utilized the image vocabulary similarity calculation model to determine the similarity values. Figure 1 illustrates the developed image lexical similarity calculation platform [23]. This platform includes two functional modules: image vocabulary similarity calculation and cluster analysis.…”

“…From the subjective and objective perspectives, consumers' product styling evaluation can be categorized into subjective evaluation, objective evaluation, and combined subjective-objective assessment. The subjective evaluation method provides a score based on the participant's comprehension of product styling, inherently possessing subjective biases and limitations [23]. Considering the convenience of obtaining subjective evaluation data, approximately 80% of product designs based on Kansei engineering employ the subjective evaluation method.…”

Study on Imagery Modeling of Electric Recliner Chair: Based on Combined GRA and Kansei Engineering

“…This study seeks to address this scholarly gap by elucidating the influence of integrating Kansei engineering and gray relational analysis (GRA) on the practice of product design. The primary objective of this research is to provide empirical evidence showcasing the effects of the aforementioned integration on the product design process [14]. At the core of the amalgamation of Kansei engineering and GRA is the establishment of a product design perception evaluation system.…”