Spectator Performance Evaluation System for Sports Immersion
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Solution Overview
Problem
Existing systems fail to effectively immerse spectators in live sporting events, particularly in eSports, and lack methods to evaluate spectator-participant performance alongside professional athletes.
Innovation Solution
A system that allows spectators to engage with live events by playing alongside professional athletes, with a computer system evaluating their performance and ranking it against the athletes, enabling prize allocation and talent identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If spectators only observe live events passively, then system complexity is low, but spectator engagement and immersion are insufficient
Solution Approach 1:
The patent introduces a computer system as an intermediary between spectators and the live event. This system captures spectator inputs (anticipating plays), compares them with actual athlete performances, and provides feedback through performance rankings. The intermediary enables deep engagement without requiring spectators to directly interact with athletes, thus increasing engagement while managing system complexity through automated processing.
Solution Approach 2:
The system implements a feedback loop where spectator predictions are compared against actual athlete performances, and performance data is returned to spectators. This feedback mechanism transforms passive observation into active participation by allowing spectators to test their predictive abilities and receive quantitative evaluation of their performance relative to professionals.
2Measurement precision
If no performance evaluation system is implemented, then ease of operation is high, but ability to identify talent and allocate prizes is lost
Solution Approach 1:
The patent replaces subjective human judgment with an automated computer-based evaluation system. The system objectively compares spectator predictions with actual athletic performances using algorithmic processing, eliminating bias and subjectivity. This substitution enables precise measurement of performance metrics while automating the complexity of data collection, processing, and comparison tasks.
Solution Approach 2:
The evaluation system operates autonomously by automatically collecting spectator inputs, retrieving actual performance data, conducting comparisons, and generating performance rankings without requiring manual intervention. This self-service approach handles the computational complexity internally while presenting simple results to users, thus achieving high measurement precision without increasing operational complexity for end users.
3Duration of action of moving object
If traditional passive spectating is used, then loss of time for spectators is minimal, but spectator immersion and engagement duration are limited
Solution Approach 1:
The system invites spectators to make predictions about upcoming plays before they occur. This preliminary action requires spectators to invest time in analyzing and anticipating athletic performances in advance. The time investment is justified by the extended engagement duration, as spectators remain involved throughout the event to see how their predictions compare with actual outcomes, thereby transforming brief observation into sustained participation.
Data Source
AI summary
Systems and methods enable sporting event spectators to do more than just observe an online or live contest with the spectators' engagement being limited to group messaging with other spectators (and possibly also the game stars/participants) during an event. The present invention provides a new level of participation for spectators. Spectators can play the game alongside their favorite athlete/star and a computer system evaluates how the participants perform compared to the athlete. The system can monitor several participants and rank their performance against performance of actual athletes to determine which participants made similar moves, took similar actions, or took action that may be deemed superior to action taken by actual athletes. From the collected data top performers can be acknowledge/awarded. The data can also be useful to identify rising stars from the pool of participants, and new athletes worthy of participants in future competitions cane identified.


