It is increasingly important to account for cognizance of cultural symbol during the product design process. The relationship among the paper-cutting cultural symbol's attributes was explored in this study. A ANP approach was used to analyze the effects of different cultural elements on product design. And a design practice was carried out to verify the results. This study identifies the importance of individual cultural symbol's attribute for product designers.
Oriental Design is recently one of the most significant theoretical fields in design research in China. For a long time, related research has been controversial due to the complicated historical ambiguity, but today’s researchers are able to reshape Oriental Design with brand-new materials and independent perspectives. This is an opportunity of the times and a strategic topic for local design research. This article specifically explores the sustainable innovation value and significance of Oriental Design, puts forward its internal connections and commonalities, and supports it with the analysis of sustainable innovation levels to provide support for the development of Oriental Design.
This chapter presents the results of our experiments on driving posture from which a digital model of driving comfort has been developed. It aims at deciding the key design elements influencing car drive comfort in order to determine which elements have the most important influence on the joints of a human body in the Chinese populations. Based on the data obtained from the experiments, the chapter develops a digital driving posture model with design rules and calculation methods, to be used as the guidance on the design for driving comfort. It identifies the important and independent influence of steering wheel height, wheel position and seat angle on the driving posture through ANOVA analysis. The method of regression analysis was used to evaluate the nonlinear characteristics of the data obtained, and to determine the relations between body measuring variables and posture variables.
Abstract The emotional experience of the driver is influenced by the design of the in-vehicle interaction interface. User experience journey maps are commonly used by designers to reveal interface design pain points and refine user needs, and further studies are required to effectively characterize and quantify user emotional needs. This study provides a method for accurately presenting a driver’s emotional experience through a human–machine interface using Kansei engineering and user experience journey. Firstly, the semantic difference approach was used to match the relationship between user behavioral touchpoints and Kansei imagery words of the interface. And then the emotional quantification curve was built to generate an average value for Kansei imagery word evaluation. Finally, design pain points were identified and iterative design was carried out. A validation study was implemented to ensure the method’s validity. The study demonstrated that a quantitative map of user emotional experience could efficiently quantify and depict the findings of emotional quantification. This method enables designers to accurately recognize user needs while also facilitating product iterations.
Generative AI faces many challenges when entering the product design workflow, such as interface usability and interaction patterns. Therefore, based on design thinking and design process, we developed the DesignGPT multi-agent collaboration framework, which uses artificial intelligence agents to simulate the roles of different positions in the design company and allows human designers to collaborate with them in natural language. Experimental results show that compared with separate AI tools, DesignGPT improves the performance of designers, highlighting the potential of applying multi-agent systems that integrate design domain knowledge to product scheme design.
Virtual reality (VR) is a popular information technology in design and manufacturing. In the conceptual design stage, VR has been proved to be an auxiliary tool with great potential. However, the development of VR in the conceptual design has not been systematically investigated. This study conducted a review of the application of VR in the conceptual design stage on design activities and cognitive needs in recent 18 years. This study proposed a framework of design activities and cognitive needs in the conceptual design stage based on the design information cycle model. The technical characteristics are analysed and role of VR in each phase of conceptual design is discussed. Then the principle and application value in developments of VR technology for conceptual design are analysed. Finally, the research directions and application scheme of VR in conceptual design in the future are discussed.
Sketch is an important creative tool for product design.In the sketching process design thinking and sketch expressing promote each other, involving the interaction between designer's actions of brain, hand and eye.The sketching process can be described as a Creative Point graph.This paper proposes a computer-aided design method based on Creative Point to support sketching process.This method recognizes sketching behaviors, and distinguished Creative Points by constructing a Creative Point rule base, and refines the rule base to avoid
Recent advances in Artificial Intelligence raise interest in its participation in design activity, which is commonly considered to be complex and human-dominated. In this work, we aim to examine AI roles in early design stages. The human ideation components and design tools related to AI are discussed in a framework of AI-augmented design support. The framework develops a hierarchy of design cognition (basis), approaches and principles. The cognitive models are constructed in an empirical study of 30 designers (26 for analysis, 4 for pilot study) by concurrent Think-Aloud protocol and behavior analysis. The process of producing new design ideas is explained by a transparent analysis of designers' language and behaviors. Three strategies to organize cognitive activities in design ideation are summarized: develop structured consideration, relate to a scenario, and stick-to designing. These strategies suggest AI could act as (1) representation creation, (2) empathy trigger and (3) engagement, in principles of "knowledge-driven" and "decompose-and-integrate". The design support with AI provides new perspectives on computer-based design tools that limit to well-defined design variables. The framework is built on a generic notion of design activity and "mimic" human design rationales, expected to benefit research of domain-independent computational design supports and cognitive supports.
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