With changing customer attitudes toward consumption and function homogenization,product appearance designs have an increasing influence on the purchase decision.Customer characteristics and emotional factors play an i...With changing customer attitudes toward consumption and function homogenization,product appearance designs have an increasing influence on the purchase decision.Customer characteristics and emotional factors play an important role here.This study proposes a novel approach for modelling satisfaction and accomplishing a configuration that overcomes the limitations of conventional methods to precisely predict satisfaction,provide optimal product recommendations,and advise manufacturers on product appearance design.The newly proposed approach considers satisfaction,clusters customers through the Kansei perspective,and constructs a satisfaction model for each cluster.Additionally,the study employs data mining to understand the basic design principles and conflicted combinations that must be followed and avoided,respectively.The bidirectional association rules-constrained genetic algorithm is presented to limit configuration freedom,ensuring that results are in the range of control.Comparing prediction errors and recommended sample votes between the novel and conventional approaches revealed the presented approach’s efficiency and accuracy,thereby providing suggestions for manufacturers to make precise decisions on launching new product appearance designs through predicting customer emotional satisfaction.展开更多
Today’s product creative design has rendered many fe atures and has brought a great change in our everyday life, there are many new c hallenges in its traditional theory and principle. According to the traditional de...Today’s product creative design has rendered many fe atures and has brought a great change in our everyday life, there are many new c hallenges in its traditional theory and principle. According to the traditional design theory, the FBS design model pays more attention to the function and stru cture of the product. But this model still couldn’t strengthen the relation bet ween product appearance design and human-machine design effectively. This paper adopt converse design thinking and presents an improved design thinking methodo logy based on C: FBS for product appearance design and give a general summarizat ion for the features, methods and technology based on human-machine interaction and interface. Meanwhile it also combines with the behavior design of product r elated IT fields and constructs a new outline to improve the design of product a ppearance supported by the technology of computer aided design. So the new metho d about design thinking for computer aided design, the new abstract product design model and the key problem of design thinking based on human-machine inte raction and interface are addressed in this paper. This kind of creative design theory that is driven by human-machine interaction and interface will help the development of CAD software system and the research of product design and manufa cture. Additionally, this paper gives some beneficial characters to address the theory based on human-machine interaction and interface. Meanwhile, combining with the developing of computer technology, the trends of design thinking based on t he technology of human-machine interaction and interface are also analyzed and discussed at the end of this paper.展开更多
This paper proposes a closed-loop human-machine co-creation process suitable for the early stages of industrial design.By integrating the Stable Diffusion model with the Low-Rank Adaptation(LoRA)fine-tuning strategy,a...This paper proposes a closed-loop human-machine co-creation process suitable for the early stages of industrial design.By integrating the Stable Diffusion model with the Low-Rank Adaptation(LoRA)fine-tuning strategy,and constructing an image quality evaluation mechanism based on the dual metrics of Contrastive Language-Image Pretraining(CLIP)and CLIP Maximum Mean Discrepancy(CMMD),the system guides designers in filtering and providing feedback on generated outputs to iteratively optimize prompts.The system integrates automatic scoring,manual filtering,and keyword clustering recommendation to form a collaborative closed loop of“generation-selection-optimization.”In a desk lamp design task,experiments demonstrate that this process significantly enhances the consistency of image styles and the quality of creative expression.The study verifies the feasibility of the human-machine collaboration mechan ism in complex design tasks and offers a new paradigm for the application of generative AI in industrial product design.展开更多
基金supported by the National Social Science Fund of China(Grant No.18BGL095)
文摘With changing customer attitudes toward consumption and function homogenization,product appearance designs have an increasing influence on the purchase decision.Customer characteristics and emotional factors play an important role here.This study proposes a novel approach for modelling satisfaction and accomplishing a configuration that overcomes the limitations of conventional methods to precisely predict satisfaction,provide optimal product recommendations,and advise manufacturers on product appearance design.The newly proposed approach considers satisfaction,clusters customers through the Kansei perspective,and constructs a satisfaction model for each cluster.Additionally,the study employs data mining to understand the basic design principles and conflicted combinations that must be followed and avoided,respectively.The bidirectional association rules-constrained genetic algorithm is presented to limit configuration freedom,ensuring that results are in the range of control.Comparing prediction errors and recommended sample votes between the novel and conventional approaches revealed the presented approach’s efficiency and accuracy,thereby providing suggestions for manufacturers to make precise decisions on launching new product appearance designs through predicting customer emotional satisfaction.
文摘Today’s product creative design has rendered many fe atures and has brought a great change in our everyday life, there are many new c hallenges in its traditional theory and principle. According to the traditional design theory, the FBS design model pays more attention to the function and stru cture of the product. But this model still couldn’t strengthen the relation bet ween product appearance design and human-machine design effectively. This paper adopt converse design thinking and presents an improved design thinking methodo logy based on C: FBS for product appearance design and give a general summarizat ion for the features, methods and technology based on human-machine interaction and interface. Meanwhile it also combines with the behavior design of product r elated IT fields and constructs a new outline to improve the design of product a ppearance supported by the technology of computer aided design. So the new metho d about design thinking for computer aided design, the new abstract product design model and the key problem of design thinking based on human-machine inte raction and interface are addressed in this paper. This kind of creative design theory that is driven by human-machine interaction and interface will help the development of CAD software system and the research of product design and manufa cture. Additionally, this paper gives some beneficial characters to address the theory based on human-machine interaction and interface. Meanwhile, combining with the developing of computer technology, the trends of design thinking based on t he technology of human-machine interaction and interface are also analyzed and discussed at the end of this paper.
文摘This paper proposes a closed-loop human-machine co-creation process suitable for the early stages of industrial design.By integrating the Stable Diffusion model with the Low-Rank Adaptation(LoRA)fine-tuning strategy,and constructing an image quality evaluation mechanism based on the dual metrics of Contrastive Language-Image Pretraining(CLIP)and CLIP Maximum Mean Discrepancy(CMMD),the system guides designers in filtering and providing feedback on generated outputs to iteratively optimize prompts.The system integrates automatic scoring,manual filtering,and keyword clustering recommendation to form a collaborative closed loop of“generation-selection-optimization.”In a desk lamp design task,experiments demonstrate that this process significantly enhances the consistency of image styles and the quality of creative expression.The study verifies the feasibility of the human-machine collaboration mechan ism in complex design tasks and offers a new paradigm for the application of generative AI in industrial product design.
