Context-aware intelligent key response method

By combining the interaction of mouse physical buttons and scroll wheel, the system obtains the user's operation context in real time, calculates the relevance score of AI functions, recommends and executes appropriate AI functions, and solves the problems of scattered AI function entry points, deep calling paths, low utilization of interactive devices and insufficient personalization in existing technologies. This enables fast and accurate AI function calls and efficient human-computer interaction.

CN122111243APending Publication Date: 2026-05-29MIMOUSE
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Patent Information

Application Number
CN202610554077.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-24
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

In existing technologies, AI function entry points are scattered, calling paths are deep, there is a lack of context adaptation, low utilization of interactive devices, and insufficient personalization, resulting in low user operation efficiency.

Method used

By combining the interaction of mouse physical buttons and scroll wheel, the system obtains the user's operation context in real time, calculates the relevance score of AI functions, recommends and executes appropriate AI functions, and adopts an interaction mode of floating menu and scroll wheel switching confirmation.

Benefits of technology

It enables fast and accurate AI function calls, improves operational efficiency, reduces invalid operations, conforms to user habits, supports personalized configuration, and is suitable for various application scenarios.

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Abstract

The invention discloses a context-aware intelligent key response method. The method comprises the following steps: acquiring current context information which comprises at least one of a current foreground application, a content type selected by a user and a selected content feature; based on the context information, screening recommendation functions from preset AI functions such as translation, retouching, proofreading, intelligent returning, intelligent screenshot, image processing, conference recording, audio and video transcription and the like through correlation scores; in response to a first trigger operation of a mouse physical key, displaying a recommendation function near a cursor in a floating menu form; and responding to user roller switching and confirming execution through a second triggering operation. The method supports configuration of a preferred function for a specific application or content type, and realizes personalized recommendation. The AI function is integrated on the physical key of the mouse, the AI function calling efficiency and the user experience are remarkably improved through context self-adaptive recommendation and roller interaction, and the method is suitable for desktop application scenes such as chatting, document editing and image processing.
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