The application of gaming virtual scenarios generated by point cloud 3D in inducing psychological intervention

Abstract

With the development of science and technology, virtual reality and other technologies have gradually developed and popularized, sprouting a series of interdisciplinary, such as evaluation and intervention in the psychological Affective computing. To enhance the realism of virtual situational materials for psychological intervention, this study proposed the application of point cloud 3D generated gameplay virtual scenarios in induced psychological intervention. It utilized the Kneading Net model to construct a point cloud 3D generation deep learning network, and combined style transfer algorithm to construct an emotion induced monomer model. Finally, the complete scene was constructed using the key technology of the positive feedback psychological emotion induced scene production system. The experimental data showed that when the three modules of cube cavity template, geometric feature and dynamic chamfer distance in the Kneading Net model were used meanwhile, the common chamfer distance was 0.0240, which was 0.0003 lower than the original network. This indicated that the simultaneous use of the three modules can achieve optimal network performance and can be applied in scenarios with high accuracy requirements. The comprehensive scores of scene realism and immersion were 6.93 and 7.4, respectively, both higher than 6.5. This indicates that the induced psychological intervention effect of the gameplay virtual environment generated by point cloud 3D meets the design expectations. This helps to enhance the user’s sense of experience and enhance the positive effect of psychological intervention.