Contextual Center-of-Gravity Audio Output for Collaboration
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Solution Overview
Problem
Conventional tools for collaborative environments do not effectively address real-time interactions and fail to utilize contextual information for improved productivity and ease of use, particularly in geographically distributed workforces with high volumes of business information.
Innovation Solution
The implementation of a system and method using contextual Center-of-Gravity (CoG) to dynamically adjust audio output levels based on participant positions and contexts within a collaboration session, utilizing sensors and cameras to calculate and respond to changes in proximity and activity, ensuring optimal audio levels for all participants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional tools are used for collaborative environments, then device complexity is reduced, but audio output effectiveness and communication quality deteriorate
Solution Approach 1:
The system dynamically adjusts audio output levels based on real-time calculation of the center of gravity position of participants. The audio level is not fixed but changes continuously as participants move, ensuring optimal communication quality adaptively responding to spatial changes in the collaborative environment.
Solution Approach 2:
The system uses sensors and cameras to detect participant positions, calculates the center of gravity, and uses this information to adjust audio output levels. This closed-loop feedback mechanism ensures that audio effectiveness is maintained by continuously monitoring and responding to the spatial distribution of participants.
2Ease of operation
If audio levels are increased for all participants, then communication coverage is improved, but distractions and noise for individual participants increase
Solution Approach 1:
Instead of applying a uniform audio level to all participants, the system calculates the center of gravity position and adjusts audio levels locally based on where the majority of participants are positioned. This ensures that audio is optimized for the dominant spatial configuration without unnecessarily increasing noise for all participants.
Solution Approach 2:
The system changes the audio output level parameter dynamically based on the calculated center of gravity position. When participants are clustered closer to the display, audio levels are reduced; when they are farther away, audio levels are increased, optimizing communication coverage while minimizing unnecessary noise.
3Productivity
If manual audio adjustment is used, then device complexity is minimized, but productivity and ease of use deteriorate due to lack of real-time adaptation
Solution Approach 1:
The system automatically adjusts audio levels based on participant positions without requiring manual intervention. The sensors, camera, and processing algorithms work together to self-regulate the audio output, freeing participants to focus on collaboration rather than audio configuration.
Solution Approach 2:
The system proactively adjusts audio levels before communication quality deteriorates by continuously monitoring participant positions and predicting when adjustments are needed. This prevents communication issues rather than reacting to them, enhancing collaborative effectiveness.
Data Source
AI summary
Embodiments of systems and methods for using contextual center-of-gravity for outputting audio in collaborative environments are described. In some embodiments, an Information Handling System (IHS) may include: a processor; and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution by the processor, cause the IHS to: identify a first position of a first participant and a second position of a second participant during a collaboration session; calculate a Center-of-Gravity (CoG) based, at least in part, upon the first and second positions; and output audio during the collaboration session with a level determined based upon the CoG.