Human-computer collaborative visual design method and system based on multi-dimensional literacy grading
By collecting and vectorizing multidimensional literacy features, and combining Gaussian mixture clustering and multi-objective optimization, an adaptive collaboration strategy is generated, which solves the problems of insufficient literacy assessment and cultural compatibility in human-computer collaborative design, and improves design efficiency and quality.
CN122196476APending Publication Date: 2026-06-12SHENZHEN UKIYO-E CULTURE MEDIA CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHENZHEN UKIYO-E CULTURE MEDIA CO LTD
- Filing Date
- 2026-03-11
- Publication Date
- 2026-06-12
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Figure CN122196476A_ABST
Abstract
The application relates to the technical field of artificial intelligence aided design, and discloses a man-machine cooperation visual design method and system based on multi-dimensional literacy grading, which collects literacy features from four dimensions of technical operation, content decoding, creative application and innovation integration and vectorizes the features, constructs an adaptive grading portrait by using Gaussian mixture clustering, generates a cooperation strategy based on multi-target Pareto optimization, drives man-machine cooperation closed-loop iterative design, and realizes continuous self-optimization through multi-dimensional quality evaluation and literacy increment feedback.
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