REAL-TIME GENERATION OF ASSISTIVE CONTENT

    公开(公告)号:US20250041717A1

    公开(公告)日:2025-02-06

    申请号:US18230578

    申请日:2023-08-04

    Abstract: Systems and methods for real-time generation of assistive content are provided. Gameplay data, such as activity files or object files, may be stored in association with user-generated content including media files. Based on gameplay data from different sessions, a learning model may be trained to identify patterns that correlate types of gameplay data (e.g., regarding in-game actions) to game outcomes. A current interactive session may be monitored to identify player actions. The learning model may be applied to make predictions regarding likelihood of success based on current trajectory and to identify recommendations for next actions correlated with successful or otherwise desired outcomes. Media files such as video files and related content may be used to generate custom assistive content to present to the user. Such assistive content may be presented in real-time within the same or different window or display associated with the user.

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