Virtual Human Video Call Control for Guided 5G User Interaction
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Solution Overview
Problem
5G user calls lack user requirement guidance, system complexity, and monotonous prompts, leading to reduced user interest and cumbersome operational processes, with new features requiring user learning and causing psychological barriers.
Innovation Solution
Incorporating a VoNR+ platform connected to a virtual human service unit and a call session control function unit, performing replacement processing on video objects with virtual human images to enhance user interaction and adapt to existing communication networks without requiring user retraining.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If new system customization features are developed to enhance user vividness, then user interaction quality is improved, but users need to learn and understand the new feature, creating psychological barriers
Solution Approach 1:
The virtual human service unit automatically provides personalized interaction guidance and perception of user requirements without requiring users to learn complex new features. The system serves itself by autonomously adapting to user needs and providing appropriate responses, eliminating the learning curve barrier while maintaining high interaction quality.
Solution Approach 2:
The system changes the interaction parameters by using virtual human images and automated guidance mechanisms instead of requiring users to learn new feature operations. This transforms the user experience from learning-based interaction to intuitive interaction, improving ease of operation while maintaining system functionality.
2Device complexity
If passive response interactions are used in 5G calls, then system implementation is simplified, but user requirement guidance and perception are lacking
Solution Approach 1:
The virtual human service unit provides active feedback by perceiving user requirements and providing guidance during the call interaction. This feedback mechanism ensures that user requirements are not lost but rather actively guided and perceived, transforming passive responses into active, requirement-aware interactions while maintaining relatively simple system implementation.
Solution Approach 2:
The virtual human service unit acts as an intermediary between the user and the 5G call system. It mediates the interaction by providing guidance and perception of user requirements, bridging the gap between simple system implementation and sophisticated user interaction needs.
3Device complexity
If monotonous prompts are used in the system, then implementation cost is reduced, but user interest is reduced
Solution Approach 1:
The system uses virtual human images to create a copy of a human-like interface that can engage users more effectively than monotonous prompts. This virtual human copy provides personalized interaction guidance and maintains user interest through natural-looking responses, while the implementation cost remains manageable by leveraging existing virtual human service units.
Data Source
AI summary
A video call control method, a communication device and a storage medium are disclosed in the present application. The method may include: acquiring a video call connection request of a first terminal device sent by the call session control function unit; sending the video call connection request to the virtual human service unit, and acquiring a virtual human image corresponding to the first terminal device sent by the virtual human service unit; performing a replacement processing on a target object in a video based on the virtual human image to obtain virtual human video data; and sending the virtual human video data to the session access unit, so as to send the virtual human video data to a second terminal device via the session access unit.