Persona Matching for Synchronized Multi-Device Conferencing
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Solution Overview
Problem
Conferencing systems face challenges in providing a seamless user experience due to resource-intensive and inefficient processes, such as obtaining and transmitting the same output to multiple devices, leading to disjointed and ineffective conferencing experiences, and complex login procedures that reduce functionality and user satisfaction.
Innovation Solution
A data management system processes sensor data based on device and persona parameters to customize and synchronize outputs across computing devices, enabling synchronized and personalized experiences while optimizing resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the conferencing system transmits the same output to multiple devices located at the same location, then resource utilization is improved, but the user experience deteriorates due to disjointed and ineffective conferencing experiences
Solution Approach 1:
The patent segments the output transmission by device location and persona. Instead of transmitting identical output to all devices, the system divides transmissions based on geographic location (same location vs. different locations) and persona parameters, allowing customized outputs for devices at the same location while maintaining resource efficiency.
Solution Approach 2:
The patent applies local quality by providing different outputs to different devices based on their specific location and associated persona parameters. Devices at the same location receive customized outputs tailored to their local context, while devices at different locations receive appropriate regional outputs, ensuring each device gets quality content relevant to its specific context.
2Reliability
If the system obtains credentials and logs in entities before initializing communication, then security and authentication are improved, but the process becomes time-consuming and resource-intensive
Solution Approach 1:
The patent implements preliminary action by pre-obtaining and storing persona parameters associated with device locations before actual communication initialization. This allows the system to have authentication and persona data ready in advance, eliminating the need for time-consuming login procedures during conference setup while maintaining security through pre-validated persona associations.
Solution Approach 2:
The system enables self-service authentication by automatically matching device locations with pre-stored persona parameters without requiring manual credential entry. The system autonomously retrieves and applies the correct persona based on device location, eliminating manual login steps while maintaining secure authentication through pre-configured persona-device associations.
3Adaptability or versatility
If the system provides customized outputs to each device, then user experience is improved, but resource consumption increases
Solution Approach 1:
The patent applies universality by creating a unified system that handles multiple device types and locations through a single persona-parameter framework. The same infrastructure and processing logic serve both customized local devices and remote devices, allowing the system to provide adaptability across diverse device configurations without proportionally increasing resource consumption.
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting output parameters based on device location and associated persona characteristics. Instead of creating entirely separate customized outputs for each device, the system modifies existing output parameters (such as persona selection, output format, and transmission timing) to achieve customization while maintaining resource efficiency through parameter adjustment rather than complete regeneration.
Data Source
AI summary
Systems and methods are provided to assign personas to identified entities based on entity data. A system can obtain image data and identify a first entity within the image data. The system can obtain entity data indicating one or more entities and one or more personas assigned to each entity of the one or more entities. Based on obtaining the entity data, the system can compare the first entity to the one or more entities and identify a second entity, from the one or more entities, that corresponds to the first entity. Based on identifying the second entity, the system can determine a persona assigned to the second entity and assign the persona to the first entity.


