Interactive Portrait AI Feedback for Adaptive Guest Engagement
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Solution Overview
Problem
Entertainment venues face challenges in providing dynamic, personalized interactions with guests that capture their interests and behaviors to enhance immersive experiences.
Innovation Solution
An interactive portrait system utilizing computer vision, AI algorithms, and communication with guest devices to identify characteristics, behaviors, and locations, and provide personalized and conversational interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional show attractions use physical props and displayed animations, then visual effects are provided to guests, but the interactions are static and cannot dynamically adapt to guest behaviors or interests
Solution Approach 1:
The system transitions from static pre-programmed show attractions to dynamic interactive experiences by continuously monitoring guest behaviors through cameras and sensors, analyzing data with AI algorithms, and adapting outputs in real-time based on detected guest interests and responses
Solution Approach 2:
The system implements closed-loop feedback by detecting guest behaviors, evaluating responses using AI algorithms, and adjusting subsequent outputs based on whether guests showed interest or engagement, creating an adaptive interaction cycle
2Productivity
If the system attempts to provide personalized interactions to all guests, then guest engagement improves, but the complexity of tracking and analyzing individual guest behaviors increases
Solution Approach 1:
The system enables self-service by using AI algorithms to automatically detect, analyze, and respond to guest behaviors without requiring manual intervention, allowing the system to handle multiple guests simultaneously through automated behavior recognition and response selection
Solution Approach 2:
The system replaces manual observation and interaction methods with automated computer vision technology, using cameras and AI algorithms to detect guest behaviors, track movements, and analyze responses without human operators
3Speed
If the system provides immediate responses to guest behaviors, then interaction responsiveness improves, but the processing time required to analyze behaviors and determine appropriate outputs increases
Solution Approach 1:
The system performs preliminary actions by pre-processing and continuously monitoring guest behaviors, maintaining ready-state analysis of detected actions, and having pre-determined response options prepared based on initial behavior detection to enable faster response deployment
Data Source
AI summary
An interactive portrait system includes a camera configured to capture imagery of an environment and a controller. The controller is configured to analyze the imagery to identify a guest in the environment, instruct an output device to provide an initial output to attempt to interact with the guest, and analyze the imagery to identify a behavior of the guest during the initial output, after the initial output, or both. The controller is also configured to evaluate the behavior of the guest using one or more artificial intelligence algorithms to determine whether the guest responded to the initial output. The controller is further configured to, in response to determining that the guest responded to the initial output, instruct the output device to provide an additional output to continue to attempt to interact with the guest.