Meeting Assistant for Preference-Based Room Scheduling
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Solution Overview
Problem
Building management systems (BMS) face challenges in effectively analyzing and managing the increasing amount of data from various devices, particularly in optimizing meeting arrangements within a building environment, such as scheduling meetings efficiently based on user preferences and historical data.
Innovation Solution
A smart meeting system that utilizes non-transitory computer-readable storage media with instructions to receive meeting requests, retrieve user preferences, dynamically determine meeting parameters, and transmit notifications about deviations from requested parameters, while also considering historical meeting data and context information to suggest optimal meeting settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a building management system collects data from various devices to optimize meeting arrangements, then the amount of available information increases, but the complexity of analyzing and managing the data increases
Solution Approach 1:
The patent introduces a meeting assistant system as an intermediary between various building devices (calendars, communication tools, room booking systems) and users. This assistant consolidates data from multiple sources, processes it centrally, and presents unified meeting recommendations, thereby reducing the complexity of managing disparate data sources while maintaining comprehensive information availability
Solution Approach 2:
The meeting assistant is designed as a universal system that can handle multiple functions: retrieving calendar events, analyzing communication data, checking room availability, and generating meeting recommendations. By consolidating these diverse functions into a single multi-functional system, the patent reduces overall system complexity while maintaining access to comprehensive information
2Productivity
If the system dynamically determines meeting parameters based on user preferences and historical data, then meeting optimization improves, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary analysis of user preferences, historical meeting data, and resource availability in advance. By pre-processing this information and maintaining updated profiles of user preferences and resource states, the system reduces the computational burden during actual meeting scheduling, enabling faster parameter determination while maintaining high optimization quality
Solution Approach 2:
The meeting assistant implements feedback mechanisms where user responses to recommendations and actual meeting outcomes are fed back into the system. This feedback loop allows the system to learn from past interactions, refine its algorithms, and improve future recommendations, thereby increasing meeting efficiency over time while reducing processing requirements through optimized models
3Reliability
If the system automatically adjusts meeting parameters such as attendees, time, and room allocation, then conflict reduction improves, but the extent of automation increases system complexity
Solution Approach 1:
The system implements dynamic adjustment of meeting parameters based on real-time conditions and user needs. Rather than rigid automated scheduling, the meeting assistant dynamically adapts recommendations based on current resource availability, user preferences, and historical patterns, allowing flexible conflict resolution while managing automation complexity through adaptive rather than purely deterministic approaches
Solution Approach 2:
The meeting assistant enables users to self-service by providing them with intelligent recommendations and allowing them to accept or modify suggestions. This approach reduces the need for complex fully-automated decision-making while still providing sophisticated conflict resolution capabilities, as users retain control over final decisions based on system analysis
Data Source
AI summary
One or more non-transitory computer-readable storage media having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to receive a request to hold a meeting in a building, retrieve user preferences associated with an attendee of the meeting, dynamically determine meeting parameters associated with the meeting based on the request and the user preferences, identify one or more meeting parameters that deviate from the request or the user preferences, and transmit a notification indicating the identified one or more meeting parameters.