Modeling of the human cognition for the metaverse-oriented design system development

Abstract

Metaverse can fully satisfy users’ design scenarios, meeting their emotional and functional imaginations without any physical constraints, and its superior functionality makes it particularly suitable for the design domain. However, because the interactivity that the Metaverse can provide has not been fully exploited, its application in the design domain has not been studied. In this paper, we propose an interactive design system for the metaverse to enhance human interaction with the metaverse and to realize the interconnection between digital and real spaces. The system is expected to integrate the physical content of the design (including product components) with the designer’s expertise. To this end, we modeled the product design process and its associated design knowledge, which is key to realizing the system. The designer’s expertise was extracted and modeled as multiple perceptual-cognitive models. A fuzzy transformer method was innovatively developed for the computational modeling of the perceptual cognitive models. Using these models, user-system interactions and interactions between virtual and real products were enhanced. This work provides a conceptual framework for a Metaverse interaction design system based on computational modeling of human perceptual cognition. The proposed system greatly extends the scope of Metaverse applications for the development of various product design systems.