AI Space Introduction Using Sensor Data in Free-Address Offices
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Solution Overview
Problem
Existing information processing technologies fail to effectively introduce the environment of user-selected spaces in a free-address office setting, where user seats are not fixed, by providing descriptive text that includes both environmental information and recommended usage suggestions.
Innovation Solution
A server apparatus that communicates with AI to generate descriptive text based on sensor data, integrating environmental and characteristic information to create introductory text for user-selected spaces, which is then displayed on terminals or displays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If sensor data is collected and processed to generate comprehensive descriptive text about spaces, then the information completeness about space environment is improved, but the system complexity increases
Solution Approach 1:
The patent introduces an AI language model as an intermediary component that receives structured sensor data and space information, then generates comprehensive descriptive text. This mediator handles the complex task of information synthesis, allowing the sensor network to remain relatively simple while achieving high information completeness in the output descriptions.
Solution Approach 2:
The system segments information processing into distinct modules: sensor data collection, space information storage, AI prompt generation, and text output. By dividing the complex task of space description into separate functional components, the system manages information completeness without overwhelming complexity in any single component.
2Reliability
If AI language models are used to generate descriptive text about spaces, then the quality of space introduction is improved, but the computational resources required increase
Solution Approach 1:
The system prepares structured space information and sensor data in advance, organizing it into standardized formats before submitting to the AI language model. This preliminary preparation reduces the computational burden on the AI model by providing clean, organized input, thereby improving output quality while reducing real-time computational resource consumption.
3Adaptability or versatility
If environmental information is integrated into space descriptions, then the usefulness of space introduction is improved, but the data processing complexity increases
Solution Approach 1:
The patent applies different processing approaches to different types of information: sensor data is processed for environmental characteristics, while space information is processed for functional characteristics. Each data type is handled with appropriate processing methods, improving the overall usefulness of descriptions without requiring a single complex processing system for all data types.
Data Source
AI summary
A server apparatus communicates with an AI based response device to present users with an AI generated introduction to a physical space. The server apparatus receives sensor data from a predetermined space, generates a prompt containing environmental information based on that data and requesting descriptive text, sends the prompt to the AI device, and outputs a screen displaying the AI generated introduction. The system may further include human-detection sensors, prompt generation for space analysis and reporting, and a display apparatus to render the screen.