Dynamic Game Volatility Adjustment via External Data Feeds
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Solution Overview
Problem
Gaming systems lack the ability to dynamically adjust game volatility based on current trends and events, leading to a less immersive and exciting player experience.
Innovation Solution
A system that collects data from external social networks and live data feeds to determine game volatility, allocating more credits to winning outcomes associated with popular topics, thereby tailoring game play to current trends and events without modifying the average expected payback percentage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If game volatility is fixed and not dynamically adjusted, then the game structure remains simple and stable, but the player experience becomes less immersive and exciting
Solution Approach 1:
The patent implements dynamic volatility adjustment by continuously monitoring external data feeds (social media, news, weather) and automatically modifying game parameters in real-time. The system transitions from static, pre-configured volatility levels to dynamic, data-driven volatility that adapts to current events and player behavior patterns, thereby resolving the contradiction between adaptability and system complexity.
Solution Approach 2:
The system incorporates multiple feedback loops: external data feeds provide environmental feedback, player behavior analysis provides performance feedback, and volatility adjustment outcomes provide result feedback. This multi-layered feedback mechanism enables the game to self-adjust volatility based on real-time conditions, achieving adaptability while managing complexity through automated closed-loop control.
2Productivity
If game volatility is dynamically adjusted based on external data, then player engagement and excitement increase, but data collection and processing requirements increase
Solution Approach 1:
The system employs a multi-functional data processing platform that handles diverse data sources (social media, news feeds, weather data, player behavior) through a unified analysis framework. This universal processing architecture consolidates multiple data collection and analysis functions into a single system, reducing overall complexity while enabling comprehensive volatility adjustment based on various external factors.
Solution Approach 2:
The patent introduces intermediary components including data aggregation services, natural language processing layers, and behavior analysis algorithms that mediate between raw external data and game volatility parameters. These intermediaries simplify complex data processing by transforming unstructured data into actionable insights, thereby increasing player engagement without proportionally increasing system complexity.
3Adaptability or versatility
If credits are allocated based on popular topics from external data, then game relevance to current events increases, but the system complexity for data analysis increases
Solution Approach 1:
The patent replaces manual or rule-based topic popularity assessment with automated computational analysis using natural language processing and machine learning algorithms. This substitution enables the system to efficiently analyze large volumes of external data, detect trending topics, and dynamically adjust credit allocation based on topic popularity, thereby achieving theme adaptability without excessive analytical complexity.
Solution Approach 2:
The system dynamically changes credit allocation parameters based on detected topic popularity metrics. By continuously monitoring external data feeds and adjusting credit values in response to trending topics, the game maintains relevance to current events while using automated parameter adjustment to manage the complexity of topic detection and measurement.
Data Source
AI summary
Various embodiments of the present disclosure provide a system and method for determining the volatility of a game based on one or more external data feeds. Generally, the system is configured to communicate with and collect data from one or more external data feeds, use the collected data to determine volatility data representing the volatility of a game, and provide one or more plays of the game having the volatility represented by the volatility data. In various embodiments, the system includes a volatility determination system including a data accumulator, an external feed data analyzer, and a metric data analyzer; and a gaming system. The volatility determination system collects the data from the external data feeds and uses the collected data to determine the volatility data representing the volatility of the game, and the gaming system provides a play of the game having the volatility represented by the determined volatility data.