Gaming Machine Proximity Customization via Triangulation
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Solution Overview
Problem
Casino gaming establishments face challenges in delivering a personalized gaming experience to diverse players, as existing attract modes and game settings are not optimal for attracting all potential players, leading to idle gaming machines and reduced revenue opportunities.
Innovation Solution
The system uses RFID tags and triangulation sensors to sense potential player proximity, accessing a database for personalized game customization, including game selection, payout settings, and attract mode modifications based on player preferences and interests, and can also customize nearby gaming machines to attract groups observing a game in use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single attract mode or set of games is used on gaming machines, then the machine configuration is simple and easy to maintain, but it cannot effectively attract all different potential players in the gaming establishment
Solution Approach 1:
The gaming machine's attract mode dynamically changes based on detected player characteristics. The system senses player proximity and automatically adjusts game parameters, themes, and configurations in real-time, transforming the static machine into a dynamic adaptive platform that optimizes attraction for each player type without requiring multiple physical machine configurations
Solution Approach 2:
The system changes multiple parameters of the gaming machine simultaneously including game selection, payout percentages, theme elements, and difficulty levels based on player detection. By adjusting these parameters dynamically, the machine adapts to different player preferences while maintaining a single physical configuration, resolving the contradiction between versatility and complexity
2Productivity
If gaming machines are customized for individual players, then player engagement and revenue potential increase, but the system complexity and implementation difficulty increase significantly
Solution Approach 1:
The gaming machine performs self-customization by automatically detecting player characteristics through sensors and autonomously adjusting its configuration based on stored player profiles. This eliminates the need for manual customization by operators, reducing implementation complexity while enabling personalized optimization for maximum revenue generation from each player interaction
Solution Approach 2:
The system implements a feedback loop where player responses to customized configurations are monitored and used to refine future customizations. This continuous learning process improves revenue generation over time while the automated nature of the feedback mechanism keeps system complexity manageable through algorithmic rather than manual processes
3Productivity
If idle gaming machines display generic attract modes, then the machine operation is simple, but the machines remain unused and revenue opportunities are lost
Solution Approach 1:
The system prepares multiple pre-configured game variations and attract modes in advance, stored in the gaming machine's memory. When a player is detected, the system quickly selects and switches to the appropriate pre-prepared configuration, enabling rapid response that increases machine utilization while keeping operational complexity low through pre-programmed options rather than real-time complex processing
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances player engagement by tailoring gaming experiences to individual preferences, increasing the likelihood of attracting players and maximizing revenue by ensuring gaming machines are actively used and appealing to potential customers.
Implementation Method 1
the potential player position is sensed via an ID card carried by the potential player with triangulation sensors
Implementation Method 2
the potential player position is sensed via an ID card carried by the potential player with triangulation sensors
Data Source
AI summary
Potential player proximity to a gaming machine is sensed, and used to customize the gaming machine. The potential player position may be sensed in different manners including via an ID card carried by the potential player with triangulation sensors, a cell phone, or via biometrics. The identity of the player is also associated with the ID card, and is used to access a database containing information about the potential player or type of player. Based on that stored information, the proximate gaming machine may be customized with a game or various attract modes that are more likely to attract the potential player. In further embodiments, information known to be desired by the potential player, such as sporting results may also be displayed to attract the potential player. In still further embodiments, various profiling techniques may be utilized to identify desired customizations of proximately located gaming machines.