Adaptive Meeting Resource Allocation via User Feedback
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Solution Overview
Problem
Existing meeting environments struggle to adaptively allocate resources in real-time based on user emotional states, characteristics, intentions, and environmental conditions, leading to inefficiencies such as imbalanced talk time and subject omission.
Innovation Solution
A device and method that utilize processors and sensors to collect and analyze sound, image, and environment information from users to dynamically adjust resources like speaking time and context settings, providing a personalized meeting environment by identifying user emotions, characteristics, and intentions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a meeting environment is provided according to predetermined input, then the meeting can be conducted with basic functionality, but the meeting environment cannot adaptively change during the meeting causing imbalanced talk time and subject omission
Solution Approach 1:
The system continuously collects feedback information about users (emotional state, characteristics, intentions) and environmental conditions during the meeting, processes this feedback, and dynamically adjusts meeting resources (speaking time allocation, context settings) based on the processed feedback to achieve adaptive meeting environment changes
Solution Approach 2:
The meeting environment transitions from a static predetermined configuration to a dynamic system that automatically adjusts resources in real-time based on collected feedback, allowing the meeting to adapt to changing conditions without manual intervention
2Productivity
If resources are allocated fixedly in advance, then the meeting structure is simple and predictable, but resource allocation cannot optimize for individual user needs and emotional states
Solution Approach 1:
The system automatically processes feedback information and allocates resources without requiring manual control or intervention, with the meeting environment self-adjusting based on collected data about user states and environmental conditions to optimize resource distribution
Solution Approach 2:
The system dynamically changes allocation parameters (speaking time duration, resource distribution) based on processed feedback about user emotional states, characteristics, and intentions, transitioning from fixed predetermined allocation to variable optimized allocation
Data Source
AI summary
The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. According to various embodiments of the disclosure, a device for adaptively providing a meeting can comprise at least one processor, which: allocates a first resource for a first user and a second resource for a second user on the basis of first information on the first user and second information on the second user; acquires third information on the first user through at least a portion of the allocated first resource; and is configured so as to control the first resource and the second resource on the basis of the acquired third information and the second information. The first resource and the second resource are resources for the meeting, and each piece of the first information, the second information, and the third information can include at least one piece of sound information, image information, or environment information of a corresponding user.