AI Entertainment Performance Control via Audience Data Annotation
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Solution Overview
Problem
Existing entertainment performance systems, such as animatronics and puppets, lack emotional intelligence, requiring human operators to manually adjust content and interaction based on audience reactions, which can lead to compromised audience engagement due to limited operator attention.
Innovation Solution
An artificial intelligence system that records and annotates performance data with external factors like audience interaction and environmental data, training AI to generate performance instructions for devices like animatronics, allowing for automated and emotionally intelligent performances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human operators manually operate performance devices to provide emotional intelligence, then audience engagement is improved, but operator attention is divided and cannot cover all audience members
Solution Approach 1:
The system enables self-service by having performance devices autonomously analyze audience data and adjust their own performance without continuous human intervention. The AI system processes audience feedback in real-time and automatically modifies performance parameters, allowing the device to serve itself while maintaining high audience engagement.
Solution Approach 2:
The patent replaces the mechanical system of human operators physically controlling devices with an AI-based system that processes data and generates control signals. This substitution allows the system to analyze multiple audience members simultaneously without the attention limitations of human operators, improving both engagement and operational capacity.
2Reliability
If multiple operators are used to assist with audience interaction, then coverage of audience members is improved, but system complexity increases
Solution Approach 1:
The AI system performs multiple functions that would otherwise require multiple human operators: it monitors audience reactions, analyzes emotional states, determines optimal performance adjustments, and controls performance devices simultaneously. This multi-functionality consolidates the roles of multiple operators into a single integrated system.
Solution Approach 2:
The patent introduces an AI intermediary system that sits between the performance devices and the audience, processing all interaction data and mediating the response. This intermediary handles the complexity of analyzing multiple audience members and coordinating responses, eliminating the need for multiple human operators to manage these interactions directly.
3Productivity
If human operators focus on operating devices, then performance delivery is maintained, but ability to observe and respond to audience reactions is reduced
Solution Approach 1:
The system segments the performance control function into separate modules: one dedicated to delivering performance content and another dedicated to analyzing audience reactions. This segmentation allows simultaneous optimization of both performance delivery and audience observation without the attention division problem faced by human operators.
Solution Approach 2:
The patent implements a continuous feedback loop where audience reaction data is constantly collected, analyzed by the AI system, and used to adjust performance in real-time. This automated feedback mechanism ensures no audience reaction data is lost while maintaining consistent performance delivery, as the system can process feedback without the attention limitations of human operators.
Data Source
AI summary
A process and computer program product to record performance related data for a plurality of entertainment performances having a plurality of audiences. Further, the process and computer program product determine external data that is associated with the plurality of audiences and/or environmental factors corresponding to locations of the plurality of entertainment performances. In addition, the process and computer program product annotate the performance related data with the external data to generate annotated performance related data. The process and computer program product also train an artificial intelligence system based upon the annotated performance related data. The process and computer program product generate, at the artificial intelligence performance instructions to provide a performance. Further, the process and computer program product provide, from the artificial intelligence system to a performance device, the performance instructions to provide a performance.