Excitement Rating System for Live Performance Spoiler Avoidance
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Solution Overview
Problem
Current services that provide game highlights and commentary for sporting events often spoil the excitement by revealing scores and statistics, failing to consider individual fan preferences, leading to inefficient use of time and potential loss of viewership.
Innovation Solution
A system that generates excitement ratings, alerts, and teasers for live performances based on subscriber preferences, analyzing play-by-play statistics to provide tailored experiences for home team, visiting team, and neutral fans, allowing viewers to tune in at exciting moments without spoilers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If game highlights and commentary services reveal scores and statistics, then fans are informed of the outcome, but the excitement and thrill of the performance are spoiled
Solution Approach 1:
The system generates excitement curves and identifies key moments before fans watch the performance, allowing them to jump to exciting segments without knowing the outcome. This preliminary analysis enables fans to experience thrills without spoilers by curating the viewing experience in advance.
2Object-affected harmful factors
If fans watch entire live performances to ensure they see exciting events, then they may experience all thrills, but they spend precious hours viewing boring or uneventful content
Solution Approach 1:
The system extracts and identifies key exciting moments from live performances by analyzing play-by-play data and generating excitement curves. Fans can then jump directly to these identified exciting segments, extracting only the valuable thrilling content while skipping boring portions, thus saving time without missing important events.
3Device complexity
If services broadcast generic game highlights without considering individual preferences, then implementation is simple, but viewer satisfaction and engagement decrease
Solution Approach 1:
The system generates different excitement curves tailored to different fan types (home team fans, visiting team fans, neutral fans) by applying different weighting factors to various game events. This local customization of excitement measurement to different user preferences enhances adaptability while maintaining a unified technical framework.
4Duration of action of stationary object
If fans watch recorded performances after the event, then they can review highlights, but they miss the emotional thrill of experiencing events as they unfold
Solution Approach 1:
The system performs preliminary analysis of live performances to generate excitement curves and identify key moments in real-time. This allows fans watching recorded performances later to jump directly to exciting moments, reconstructing the emotional thrill experience despite the time delay, by curating the viewing experience in advance based on actual performance data.
Data Source
AI summary
A live performance is monitored by analyzing an input data stream comprising real-time updates related to the live performance. Different sets of excitement levels, excitement curves, alerts and teasers are generated based on the analysis and reported to a plurality of subscribers using any of a variety of mobile communication and/or computing devices.