Group Terminal Happiness Calculation System
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Solution Overview
Problem
Conventional technologies cannot measure the happiness of people in a specific location, as they only assess individual happiness and lack methods to quantify happiness in group settings, such as public places where multiple people gather.
Innovation Solution
An information processing system that detects and extracts identification information from surrounding terminal devices within a predetermined time, calculates the degree of happiness in a surrounding area by identifying group terminals, and displays the results on a map image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If group terminal devices are extracted and happiness degree is calculated based on multiple detected terminals, then the ability to measure happiness in public places is improved, but the device complexity and calculation load increase
Solution Approach 1:
The system segments the happiness measurement process into distinct functional modules: terminal detection unit, group extraction unit, and happiness calculation unit. This segmentation allows each module to handle specific tasks independently, reducing overall system complexity while enabling comprehensive happiness measurement in public places.
Solution Approach 2:
The patent introduces an information processing device as an intermediary that receives terminal detection results from detection devices and performs group extraction and happiness calculation. This intermediary approach distributes computational load and simplifies the architecture by separating detection functions from analysis functions.
2Measurement precision
If multiple terminal devices are detected and processed within a predetermined time, then the accuracy of group identification is improved, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by detecting and recording terminal device information within a predetermined time window before conducting the actual group extraction and happiness calculation. This preliminary data collection organizes information in advance, reducing the computational burden during the final calculation phase and improving overall processing efficiency.
Solution Approach 2:
The patent applies partial action by focusing processing efforts on terminals detected within a specific time threshold, rather than analyzing all possible terminal combinations. This selective approach maintains group identification accuracy while significantly reducing the computational scope and processing time required.
Data Source
AI summary
An information processing system, an information processing device, an information processing method, and a storage medium are provided that can extract group terminals from among a plurality of surrounding information processing terminals that have been detected, and calculate a degree of happiness in a surrounding area. The information processing system includes a communication unit configured to receive identification information from a detection device that detects the identification information of a surrounding terminal device, and a control unit configured to extract, as group terminal devices, a plurality of pieces of identification information that are received by the communication unit and indicate a plurality of terminal devices detected by the detection device within a predetermined time, and to calculate a degree of happiness around the detection device in accordance with an extraction result.