AI Ghost Player for Context-Aware Video Game Assistance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video game assistance technologies, such as ghost characters, are not effectively tailored to provide real-time, context-specific assistance to players, as they lack the ability to understand the player's current gameplay scenario and provide relevant interactivity.
Innovation Solution
The implementation of an AI model trained on a plurality of training footage sources, which analyzes game state data to identify scenarios and generates control inputs for a ghost character to provide intelligent, context-specific assistance to players during gameplay.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a ghost character is used to provide game assistance, then players can see how prior players performed, but the assistance is not tailored to the player's current gameplay context
Solution Approach 1:
The ghost character system dynamically adapts to the player's current gameplay context by detecting scenario parameters and selecting appropriate ghost characters in real-time. The system transitions from static, pre-recorded ghost characters to dynamic, context-aware assistance by continuously monitoring game state and matching it with relevant training footage scenarios.
Solution Approach 2:
The system changes parameters by using AI models to analyze multiple parameters of the current game state (position, velocity, scenario type) and select ghost characters based on matching parameter sets. The ghost character selection is determined by comparing current game parameters with stored training footage parameters to find the most relevant assistance.
2Loss of information
If traditional ghost characters are used, then players can observe prior gameplay, but the assistance includes irrelevant moves and interactions not applicable to current scenarios
Solution Approach 1:
The system extracts only the relevant portions of prior gameplay by using AI scenario detection to identify and select specific segments of training footage that match the current game context. Instead of presenting complete prior gameplay recordings, the system extracts and displays only the relevant moves and interactions applicable to the current scenario.
Solution Approach 2:
The assistance is localized to the specific game scenario by matching the current game state with corresponding segments in the training footage. The ghost character displays only the locally relevant actions and interactions for the current scenario rather than global, generic gameplay footage.
3Loss of time
If ghost characters follow prior player recordings, then players can see demonstrated moves, but the assistance does not provide real-time guidance for current gameplay challenges
Solution Approach 1:
The system implements real-time feedback by continuously monitoring the player's current game state and dynamically selecting appropriate ghost characters based on the detected scenario. The AI model provides immediate feedback by matching current gameplay parameters with relevant training footage, enabling real-time adaptation rather than delayed or static assistance.
Solution Approach 2:
The system performs preliminary action by pre-processing and storing training footage with annotated scenario parameters and key actions. This preliminary organization of gameplay data with metadata enables rapid matching and selection of relevant ghost characters during real-time gameplay without requiring complex analysis during active play.
Data Source
AI summary
Methods and systems are provided for providing a player with assistance during gameplay of a video game is provided. The method includes executing a video game for a game session. The player controls a player character during the game session. The method includes detecting selection of ghost assistance for the game session. The method includes linking or connecting the game session to an assistance artificial intelligence (AI) engine. The assistance AI engine operates to provide ghost assistance to the player in accordance with a mode setting. The ghost assistance is provided via a ghost character. The method includes rendering, during the game session, the ghost character performing interactive actions in the game. The interactive actions are generated responsive to control inputs generated by the assistance AI engine. The interactive actions by the ghost character are configured to progress the ghost character along an interactive path of the game.