A method and system for constructing a virtual travel scene based on a three-dimensional model

By monitoring users' cognitive load and group behavior data in real time, dynamically adjusting the information density of virtual scenes and integrating group memory elements, the problems of personalization and group-based virtual cultural tourism scenes are solved, achieving an adaptive and culturally rich immersive experience.

CN122176156APending Publication Date: 2026-06-09WUHAN AURORA BOREALIS DIGITAL TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
WUHAN AURORA BOREALIS DIGITAL TECH CO LTD
Filing Date
2026-01-31
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing virtual cultural tourism scene systems cannot perceive users' cognitive state in real time, resulting in fixed information density and interaction complexity that cannot be dynamically adjusted. This leads to cognitive overload or information scarcity for some users, resulting in a lack of personalized and group-based immersive experiences.

Method used

By collecting real-time multimodal behavioral and physiological data of users, a pre-trained cognitive load assessment model is used to dynamically adjust the density of scene information flow, and memory representation elements of group memory focus are integrated to generate personalized and group-image virtual scenes.

Benefits of technology

It achieves adaptive information presentation in virtual scenes, enhances user immersion and experience smoothness, strengthens cultural resonance and sense of community belonging, enriches scene connotation, extends user experience time and improves satisfaction.

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Abstract

This invention relates to a method and system for constructing a virtual cultural tourism scene based on a 3D model. The method includes: collecting real-time multimodal behavioral and physiological data streams of target users within a preset time window of the target virtual cultural tourism scene; extracting multimodal feature vectors; determining a cognitive load state index using a cognitive load comprehensive assessment model; adjusting the information flow density of the virtual scene presented to the target user based on comparison results of a preset cognitive load comfort range to obtain a basic scene; calculating the correlation degree between the basic scene and the corresponding group memory focus of the target virtual cultural tourism scene; and fusing the memory representation elements of at least one group memory focus with a correlation degree greater than a preset correlation threshold into the basic scene to generate the final fused virtual cultural tourism scene. This constructs an immersive virtual cultural tourism scene that combines personalized comfort with a collective cultural depth.
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