system

JP2026103475APending Publication Date: 2026-06-24SOFTBANK GROUP CORP

Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
SOFTBANK GROUP CORP
Filing Date
2024-12-12
Publication Date
2026-06-24

AI Technical Summary

Benefits of technology

【0005】 本発明は、ユーザの入力が開始された時点から、その内容をリアルタイムで収集し送信し、AIエージェントが予測モデルを用いることで文脈を推測する手段を提供する。これにより、ユーザの入力が完了する前から回答を生成し準備することが可能となる。さらに、最終的な入力データを受信した際には、必要に応じて既に準備された回答を修正する機能を備え、迅速かつ正確な回答をユーザに提示することができる。これにより、会話の流れが途切れることなく、効率的で円滑なコミュニケーションを実現する。

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Abstract

Provide a system. 【Solution means】 Means for collecting and transmitting the input data in real time when the user's input is started; Means for inferring the context using a prediction model based on the transmitted input data; Means for generating and preparing an answer based on the context inference; Means for detecting that the user's input has been completed and receiving the final input data; Means for comparing the final input data with the generated answer and correcting the answer if necessary; Means for presenting the corrected answer to the user; Means for an interactive robot to receive instructions by voice and text input in the home and respond in real time; A system including the above.
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Claims

1. A means of collecting and transmitting user input data in real time when user input begins, A means for inferring context using a predictive model based on the transmitted input data, A means for generating and preparing an answer based on the aforementioned contextual inference, A means for detecting when the user has completed input and for receiving the final input data, A means for comparing the final input data with the generated response and modifying the response as necessary, A means of presenting the aforementioned revised answer to the user, A means for an interactive robot to receive instructions via voice and text input within the home and respond in real time, A system that includes this.

2. The system according to claim 1, characterized in that it includes means for improving the accuracy of response generation using past conversation history and common response patterns.

3. The system according to claim 1, characterized in that the contextual inference is performed by natural language processing technology.