PERSONALIZING ANIMATIONS FROM PLAYER PLAYSTYLE

Smart overview of the Invention

A personalization system analyzes gameplay data to identify a player's unique playstyle, allowing for the generation of customized animations in video games. By examining various gameplay metrics, such as combat engagement and exploration tendencies, the system creates tailored content that reflects individual player preferences. This approach enhances the gaming experience by ensuring that animations and interactions align with how each player engages with the game.

Understanding Playstyles and Personas

Players exhibit diverse playstyles, which are categorized based on their actions and preferences during gameplay. These styles can include aggressive combat engagement or thorough exploration of game environments. The system collects and evaluates gameplay data to classify players into different personas, which represent their gaming characteristics. For instance, a player may be identified as an "explorer" with specific metrics indicating their focus on exploration over combat.

Dynamic Content Generation

The personalization system employs advanced algorithms to dynamically generate content, including animations, that correspond to a player's identified playstyle. By leveraging data from multiple games, the system can create personalized experiences even if a player is new to a particular title. This capability allows for immediate customization without requiring extensive gameplay data collection.

Contextual Variability in Player Personas

Player personas can vary depending on the gaming context, such as character roles or game types. For example, a player may adopt different strategies and preferences when playing as a tank versus a support character. The system is designed to adapt to these contextual changes by applying relevant personas to customize the gaming experience accordingly, ensuring that animations and interactions remain engaging and relevant.

User Accounts and Data Management

The personalization system associates each player's persona with their user account, which stores various information about their gaming habits and preferences. This data is accessible through a dedicated player datastore, enabling the system to provide a seamless and personalized gaming experience across different titles. By continuously learning from player interactions, the system can refine its understanding of individual preferences over time.