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H1 2026

Beijing Zitiao Network Technology

Granted Patents 3 patents

Overview

Beijing Zitiao Network Technology received 3 granted patents in H1 2026, distributed across UI/UX (1) and AI & Machine Learning (2).

The AI & Machine Learning patents focus on enhancing human-AI interaction in multiplayer gaming environments, covering systems that enable game agents to communicate battle intentions to human teammates and dynamically adjust difficulty and cooperation style based on team alignment. The UI/UX patent describes a voice imitation game system that automatically pauses media content, prompts users to continue lyrics or dialogue, and scores their vocal accuracy in real-time.

Technology Themes

On the UI/UX side, 1 patent covers an automated voice imitation game system developed by a ByteDance subsidiary. Rather than requiring players to manually manage media playback during a game, the system handles the entire flow on its own, pausing content at the right moments, prompting the next player to pick up the lyrics or dialogue, and scoring how closely their voice matches the expected content, all within a single interface.

The 2 AI & Machine Learning patents both address the challenge of making game agents more capable partners for human players, though from different angles. One describes a communication prediction model that allows an AI agent to send contextually appropriate messages to its human teammates by factoring in the current game state, the existing chat history, and the AI's own inferred intentions, giving human players a clearer sense of what their AI partner is planning. The other patent focuses on behavioral adaptation, where the AI system reads how its role relates to the player (as a teammate or an opponent) and adjusts its perception of the game state accordingly, producing different decision-making behavior depending on which side of the interaction it occupies.

Patent Sources (3)

All data sourced from USPTO patent filings. Google Patents may take several weeks to index recent publications. If a link is unavailable, search for the patent number at USPTO Patent Public Search.

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