Adaptive Ambient Sound Generation From Conference User Behavior
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Solution Overview
Problem
Existing technologies do not effectively utilize ambient sound to enhance user interactions in conferences by adapting to user behavior and environmental conditions, leading to suboptimal conference experiences.
Innovation Solution
An information processing system that acquires user behavior information and environmental data to generate and output ambient sound tailored to the interaction dynamics and surroundings, using a combination of sensors and output devices to create adaptive soundscapes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If ambient sound is used to smooth conference progression, then user engagement is improved, but the sound may not align with user behavior dynamics
Solution Approach 1:
The patent implements dynamic ambient sound that automatically adjusts its characteristics (volume, type, tempo) based on real-time detection of user behavior states such as conversation intensity, participant count, and engagement levels. This allows the sound system to adapt continuously rather than remaining static, resolving the contradiction between providing smooth progression and adapting to behavior dynamics.
Solution Approach 2:
The system incorporates feedback mechanisms by detecting user behavior through sensors and microphones, analyzing the behavioral state, and using this information to adjust ambient sound parameters. This closed-loop feedback enables the system to respond to user behavior changes, ensuring the sound aligns with actual conference dynamics while maintaining smooth progression.
2Ease of operation
If ambient sound is modified based on user information, then user engagement is enhanced, but system complexity increases
Solution Approach 1:
The patent implements a self-service system where the ambient sound automatically adjusts itself based on detected user behavior without requiring manual intervention. The system autonomously monitors conference dynamics, determines appropriate sound parameters, and modifies the ambient sound accordingly, reducing the need for complex manual control interfaces while enhancing engagement.
Solution Approach 2:
The system integrates multiple functions into a single ambient sound control mechanism: detecting user behavior, analyzing engagement levels, determining appropriate sound characteristics, and outputting adjusted ambient sound. This multi-functional approach consolidates complexity into a unified system rather than requiring separate components for each function.
Data Source
AI summary
An information processing apparatus includes circuitry to acquire behavior information of a plurality of users having a conversation, generate sound data based on the behavior information, and cause an output device to output an ambient sound based on the sound data, wherein the sound data is generated by combining a number of sounds, a number of beats and a tone based on the behavior information.


