explaining the model of key indexes affecting the psychological interactions between the designer and the user, with an approach based on sensory and visual perception of virtual space in architecture

Cyberspace, as a new platform in the field of architecture, has provided the possibility of space creation, design, and evaluation of architectural projects in a digital platform. in this regard, one of the most important issues is creating a suitable platform for interaction between the user and the designer with a perceptual approach. this research is analytical-descriptive and applied in purpose, and the method of data collection is library and documentary. first, the initial concepts were examined using the content analysis method to examine the cause-and-effect relationships forming concepts, and then, the application of cyberspace technology in architecture as a learning environment was examined and the initial model was presented based on the initial effective factors. finally, using the fuzzy delphi method and using an elite panel of 15 people, in 4 rounds, using the google pot tool, the questionnaire was sent and its feedback was examined with regard to changes in accuracy and kendall coefficient at each stage, and finally the final indicators were presented. the findings indicate that the design quality, userdesigner interaction, and user interface indicators with average scores of 4.72, 4.52, and 4.51, respectively, have the highest scores and, consequently, the greatest impact on the realization of the mechanism model extraction. consequently, this research presents a comprehensive picture of the type of impact of the concepts and components of psychological interactions and the impact of technology in cyberspace in architecture with a perceptual approach resulting in explaining appropriate infrastructure and creating a technology platform in academic environments. in studies, the relationships between the presented indicators can be examined and each case can be evaluated in case studies and the results can be generalized.