Portable Sensor Preference Capture for Real-Time Casino Offers
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Solution Overview
Problem
Casinos face challenges in predicting player preferences accurately, as they often change during a gaming session, leading to ineffective personalized gaming experiences that fail to extend player engagement.
Innovation Solution
A system and method utilizing a portable electronic device with sensors to collect spontaneous player preferences and environmental data, which are used to create and update player profiles, allowing for real-time tailored game and interest offerings based on current interests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If casinos use historical gaming preferences to predict player interests, then they can provide personalized recommendations, but the preferences become stale and fail to reflect current player interests
Solution Approach 1:
The system transitions from static historical preference storage to dynamic real-time preference capture. Sensors continuously monitor player behavior, environmental factors, and game interactions, updating player profiles in real-time to reflect current interests rather than relying on outdated historical data
Solution Approach 2:
The system implements continuous feedback loops where player actions, environmental data, and game outcomes are constantly monitored and fed back into the preference prediction model. This enables the system to adapt to changing player interests dynamically, correcting outdated predictions through ongoing real-time data collection and analysis
2Loss of information
If casinos collect and store player gaming preferences from each session, then they can predict similar games, but the data becomes outdated and fails to predict preference changes during gaming sessions
Solution Approach 1:
The system employs multi-functional sensors and devices that serve multiple purposes: tracking player location, monitoring game interactions, detecting environmental factors, and capturing player behavior patterns. This unified approach consolidates data collection into a single comprehensive system rather than requiring separate specialized systems for each data type
Solution Approach 2:
The system introduces an intermediary data processing layer that aggregates and contextualizes information from multiple sensor sources. This intermediary layer synthesizes raw data from sensors, games, and environmental sources into unified player profiles, managing complexity through structured data integration rather than direct complex interactions between all system components
3Duration of action of moving object
If casinos provide personalized gaming experiences, then player engagement increases, but player preferences change during sessions making past data unreliable
Solution Approach 1:
The system dynamically adapts player profiles during gaming sessions by continuously incorporating new behavioral data, environmental context, and game interaction patterns. This dynamic updating ensures that preferences reflected in recommendations are current and accurate, maintaining predictive reliability throughout the entire gaming session rather than relying on static pre-session data
Data Source
AI summary
An apparatus, method, and system to present at least one game offering on a display of a gaming machine may include a portable electronic device having at least one sensor configured to acquire at least one interest data based on at least one user action, the at least one user action being used to initiate acquisition of data associated with the at least one interest data, the at least one interest data associated with at least one gaming establishment offering and presented throughout the gaming establishment; a processor operative with an interest data application; and a memory configured to store the at least one interest data and the interest data application.