Game Session Media Generation Using Participant-Based Segment Selection
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Solution Overview
Problem
Conventional media generation systems, such as NLP systems, fail to generate situation-specific content, often producing incorrect or inappropriate summaries due to a lack of consideration for unique background information in game sessions, leading to uniform summaries regardless of participant characteristics.
Innovation Solution
A system and method for automatic media generation in game sessions that stores game session data, determines participant characteristics, selects media segments based on satisfied criteria, and generates media content items tailored to the session's characteristics, using thresholds and criteria derived from previous sessions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional NLP systems generate media content, then media generation capability is provided, but the content is not situation-specific and accuracy deteriorates
Solution Approach 1:
The system applies local quality by selecting and applying different media segments based on specific game characteristics. Each game session receives customized media content tailored to its unique attributes (e.g., game type, participant age, experience level) rather than a uniform approach, thereby improving accuracy while maintaining adaptability across different situations.
Solution Approach 2:
The system changes parameters by determining specific game characteristics (game type, participant demographics, experience levels) and using these parameters to select appropriate media segments. This parameter-based approach allows the system to adapt media generation to different game situations, resolving the contradiction between accuracy and adaptability.
2Ease of operation
If uniform media summaries are generated for all game sessions, then generation simplicity is maintained, but appropriateness for individual situations deteriorates
Solution Approach 1:
The system performs preliminary action by pre-defining multiple media segments that correspond to different game characteristics before media generation occurs. During game session processing, the system simply needs to determine which pre-defined segments apply based on game characteristics, maintaining operational simplicity while ensuring appropriate content selection for each situation.
3Reliability
If media segments are selected based on game characteristics, then content appropriateness is improved, but system complexity increases
Solution Approach 1:
The system applies segmentation by dividing media content into distinct segments, each associated with specific game characteristics (e.g., different media segments for different game types, age groups, or experience levels). This segmentation allows the system to manage complexity by organizing content into manageable, characteristic-based categories while maintaining high appropriateness for each game session.
4Loss of information
If customized media content is generated for each game session, then content relevance is improved, but processing time increases
Solution Approach 1:
The system uses preliminary action by pre-defining media segments associated with different game characteristics before actual media generation. During processing, the system only needs to determine which pre-defined segments match the game characteristics and assemble them, significantly reducing processing time while maintaining high content relevance through characteristic-based selection.
Data Source
AI summary
In some aspects, the disclosure is directed to systems and methods for automatic text generation for game sessions. A system may include one or more processors that are configured to store an identification of a game session and data corresponding to one or more events of the game session, the game session corresponding to one or more characteristics of individuals participating in the game session; determine, based on the one or more characteristics of the individuals participating in the game session, a set of criteria for selecting a set of media segments, wherein different criteria of the set of criteria correspond to different media segments; determine which of the set of criteria is satisfied; select one or more media segments based on the satisfied criteria; and generate a media content item for at least a portion of the game session based on the selected one or more media segments.