Avatar Modification via Spectator Comment Analysis
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Solution Overview
Problem
Current video games do not allow spectators to directly impact the gameplay of a player, limiting interactive engagement between players and spectators.
Innovation Solution
Implementing a system that streams gameplay video to spectators, allowing them to provide feedback in the form of comments, which are analyzed to generate avatar modifications for the player, using generative AI to create suggested changes based on spectator input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If spectators are allowed to provide feedback that directly impacts gameplay, then interaction and engagement between players and spectators is enhanced, but system complexity and processing requirements increase
Solution Approach 1:
The patent introduces an intermediary system comprising comment analysis modules and generative AI that mediates between spectator feedback and avatar modification. Spectator comments are processed through natural language processing and sentiment analysis before generating modification suggestions, which are then presented to the player for approval. This intermediary layer enables complex interaction while managing system complexity through modular processing stages.
2Speed
If real-time avatar modification is implemented based on spectator feedback, then player-spectator interaction is enhanced, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by continuously monitoring and pre-processing spectator comments during gameplay, maintaining sentiment analysis models ready for rapid inference. When modification opportunities arise, pre-computed avatar modification options are presented to the player, reducing real-time computational burden while maintaining responsive interaction.
Solution Approach 2:
The system implements partial action by selectively processing only relevant spectator comments that meet certain thresholds (e.g., sentiment intensity, frequency) rather than analyzing every comment in real-time. This selective processing reduces computational overhead while maintaining the essence of real-time interaction for significant spectator feedback.
3Adaptability or versatility
If generative AI is used to create avatar modifications from spectator comments, then customization and engagement are improved, but processing time and computational load increase
Solution Approach 1:
The system performs preliminary action by pre-generating multiple avatar modification options based on analyzed spectator sentiment before presenting them to the player. The generative AI creates a set of plausible avatar modifications in advance, allowing the player to select from pre-computed options rather than waiting for on-demand generation, thus reducing perceived processing time while maintaining customization quality.
Data Source
AI summary
A method for dynamically altering an avatar in a video game is provided, including: streaming gameplay video of a session of a video game over a network to a plurality of spectator devices, wherein the session enables gameplay by a player represented by an avatar in the video game; receiving, over the network from the plurality of spectator devices, comments from spectators viewing the gameplay video via the spectator devices; analyzing the comments to determine content of the comments during the session; using the determined content of the comments to generate an avatar modification for the player; implementing the avatar modification to alter the avatar of the player.