Media Guidance Application Refresh Logic for Simulated Sports Events
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Solution Overview
Problem
Existing systems for simulating sports events struggle to balance the frequency of data refreshment, leading to either significant deviations from real game progress or unwatchable interruptions, as they either fail to update frequently enough or cause constant starts and stops when updating too frequently.
Innovation Solution
A media guidance application determines when to refresh sports statistic data for simulated sports events based on user behavior and set thresholds, using a combination of historical and real-time data to generate a balanced simulation experience, allowing users to view real-time games alongside simulated versions on multiple devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data refreshment frequency is increased to maintain simulation accuracy, then the simulation closely mirrors real game progress, but constant starts and stops make the simulation unwatchable
Solution Approach 1:
The system implements periodic data refreshment at optimized intervals rather than continuous updates. The media guidance application determines appropriate refresh frequencies based on game state, refreshing statistics periodically to maintain accuracy while avoiding excessive updates that would interrupt viewing. This periodic action resolves the contradiction by balancing accuracy maintenance with watchability.
Solution Approach 2:
The system dynamically adjusts data refreshment frequency based on game conditions and user preferences. Rather than using a fixed refresh rate, the application modifies update frequencies in response to game state changes and viewer behavior, optimizing the balance between simulation accuracy and uninterrupted viewing experience throughout the game.
2Ease of operation
If data refreshment frequency is decreased to maintain continuous viewing, then the simulation remains watchable, but the simulation diverges significantly from real game progress
Solution Approach 1:
The system incorporates feedback mechanisms that monitor both simulation accuracy deviations and user viewing behavior. Based on this feedback, the media guidance application adjusts data refreshment strategies in real-time, refreshing statistics when accuracy thresholds are approached while maintaining smooth viewing. This feedback loop ensures accuracy is preserved without requiring excessive updates that would disrupt watchability.
3Reliability
If real-time data is continuously updated to reflect current game state, then simulation relevance is maintained, but user experience is degraded due to constant interruptions
Solution Approach 1:
The system employs periodic updates of real-time game data at strategically determined intervals rather than continuous real-time synchronization. The media guidance application schedules statistic refreshes to occur at natural breaking points in the game or when significant events occur, maintaining simulation relevance while avoiding interruptions during critical viewing moments.
Solution Approach 2:
The system performs preliminary determination of optimal update timing before executing data refreshes. The media guidance application analyzes game state and viewer behavior in advance to identify appropriate moments for statistic updates, preparing and scheduling refreshes that maintain relevance while minimizing disruption to the user experience.
Data Source
AI summary
Systems and methods are provided for determining when to refresh data used to generate simulated sports events based on user behavior. When a viewer of a sports event is determined to have stopped viewing the sports event on a first device, the user may seek to watch a simulation of the sports event on a second device. The simulation of the sports event on the second device may be based on sports statistics and historical sports statistics. The simulation is updated based on user actions and characteristics of sports statistics updates.