Wearable Device Physiological Monitoring for Responsible Gaming
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Solution Overview
Problem
Current gaming systems lack effective oversight and identification of problem gambling behavior, particularly in mobile and casino settings, where players may exhibit addictive behavior without noticeable indicators.
Innovation Solution
Integration of wearable devices, such as smart watches, to capture physiological data and transmit it to gaming devices for analysis, using machine learning algorithms to assess risk thresholds and alert players or adjust game settings to curb problematic behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wearable devices are integrated to capture physiological data, then monitoring capability is improved, but device complexity increases
Solution Approach 1:
The system divides the monitoring function into separate components: wearable devices capture physiological data, wireless communication interfaces transmit data, and processors analyze behavior. This segmentation allows each component to specialize in one function, improving monitoring precision while distributing complexity across multiple simple devices rather than one complex system.
Solution Approach 2:
The wearable devices use standard sensors and wireless communication capabilities that can serve multiple purposes (health tracking, gaming integration, alert notification). This multi-functionality improves monitoring capability without requiring specialized complex hardware, as existing universal devices are leveraged for the gambling behavior monitoring application.
2Measurement precision
If real-time physiological data analysis is performed, then behavior detection accuracy is improved, but processing time increases
Solution Approach 1:
The system continuously collects and pre-processes physiological data in the background before behavioral analysis is needed. By maintaining a ready stream of processed data from wearable devices, the system avoids time-consuming data collection and initial processing when behavior detection is triggered, thus improving detection accuracy without significant time loss.
Solution Approach 2:
The patent replaces complex real-time computational analysis with rule-based threshold comparisons and pattern recognition algorithms. Instead of performing heavy mechanical processing of physiological signals, the system uses predetermined risk thresholds and automated analysis rules that require minimal processing time while maintaining detection accuracy.
3Reliability
If automated analysis of physiological data and gaming history is performed, then problem gambling identification is improved, but system complexity increases
Solution Approach 1:
The system implements automated feedback loops where physiological data and gaming history are continuously analyzed against predetermined risk thresholds. When behavior exceeds thresholds, automated alerts or interventions are triggered. This feedback mechanism improves identification reliability by systematically processing multiple data sources without requiring complex manual analysis systems.
Solution Approach 2:
The patent monitors changes in physiological parameters (heart rate, skin conductance) and gaming behavior parameters (betting patterns, session duration) to identify problem gambling. By focusing on specific parameter changes rather than comprehensive analysis, the system achieves reliable identification while keeping the analysis complexity manageable through targeted parameter monitoring.
4Object-affected harmful factors
If alerts and interventions are provided to players, then responsible gaming promotion is improved, but player experience disruption increases
Solution Approach 1:
The system provides preliminary warnings and alerts to players before problematic behavior escalates, allowing players to self-correct their gaming patterns. By intervening early with gentle reminders rather than harsh restrictions, the system reduces harmful behavior while minimizing disruption to the player experience, as players retain control and can choose to adjust their behavior voluntarily.
Data Source
AI summary
According to some aspects, a method of assessing behavior of a player of a wagering game is provided, the method comprising receiving, at a wagering gaming device, via a wireless communication interface from a wearable device worn by the player of the wagering game, physiological data of the player obtained using at least one sensor of the wearable device worn by the player, determining, using at least one processor, whether the player is exhibiting behavior exceeding at least one predefined risk threshold based at least in part on an automated analysis of the received physiological data and the player's history of gaming actions, and when it is determined that the player is exhibiting the behavior, performing at least one action by the wagering gaming device designed to reduce the exhibited behavior below the at least one predefined risk threshold in response to said determination.