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Clothing design plays an important role in personal image expression and social and cultural transmission. The traditional fashion design method has many problems, such as low efficiency and large design error, and it is difficult to bring users better wearing experience. In order to meet different users' Design needs, reduce design errors, and improve users' satisfaction with design results, this paper combined with intelligent sensing technology, conducted in-depth research on digital automation analysis of clothing design CAD (Computer Aided Design). Aiming at the clothing design process, this paper first constructed a brand-new clothing design CAD system, using the depth transducer to solve the 3D information of the relevant feature points, and realized the accurate acquisition of the human body feature size information. Through the registration of adjacent frame point data, the 3D human body modeling was carried out. Then, according to the user's physical characteristics and related information collected by the sensor, the paper compared the user's characteristic information to filter out the user's preferences, and used the recommendation algorithm to calculate the corresponding parameters to realize the intelligent choice of clothing styles. Finally, through the measurement of each index by the sensor, the size adjustment of the garment and the specific design of the garment were realized. In order to verify the effect of clothing design CAD system based on intelligent sensing technology, this paper conducted system tests. The results showed that in terms of clothing comfort, clothing quality and clothing functionality, the number of users satisfied and very satisfied reached 50.4%, 47.9% and 51.3%, respectively. From the overall survey results, the system has a high degree of user satisfaction. The research conclusion of this paper shows that the digital automatic analysis of clothing design CAD based on intelligent sensing technology can effectively meet the needs of users, improve their wearing experience, and promote the intelligent development of clothing design. [ABSTRACT FROM AUTHOR]

With increasing interest in how digital technology impacts innovation, the constructs "digitization" and "digitalization" have become popular. However, different conceptualizations have emerged resulting in conceptual overlap and little definitional consensus. To understand how these two constructs have been used within innovation management, we systematically review both constructs and identify 26 different definitions used for both, underscoring the need for greater precision. Building from our systematic review, we synthesize and integrate these findings to derive clear and parsimonious definitions of digitization and digitalization and propose a conceptual framework that systematically links both constructs with existing innovation scholarship. We then discuss the implications of our framework on theories of the process of innovation and digital transformation. We recommend future research into digital design principles, digital product life cycle, knowledge accumulation, generativity, and the feedback dynamics within our framework. We also provide practitioner implications and limitations. [ABSTRACT FROM AUTHOR]

Research suggests that generativity may serve as a path to the experience of purpose in life. However, little is known about how this relationship is influenced by age and future time perspective (FTP). The present study aimed to investigate age and FTP as moderators of the association between generativity and sense of purpose. A total of 787 participants ranging in age from 19 to 94 years (M = 50.23; SD = 16.47) completed self-report measures of generativity, FTP, and sense of purpose as part of a broader study. Correlational analyses revealed that generativity, age, and FTP were positively associated with a sense of purpose. Moderation analyses found that FTP, but not age, significantly moderated the relationship between generativity and sense of purpose. Specifically, individuals with a more limited FTP exhibited a stronger association between generativity and purpose. Findings lend support for a robust association between generativity and sense of purpose (r = .54), and they suggest that generativity may be particularly important for sense of purpose when time is perceived as limited. This study paves the way for future research examining the role of FTP on the development of generativity across the lifespan. [ABSTRACT FROM AUTHOR]