Interest Degree Analysis Using Physiological and Location Sensors
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Solution Overview
Problem
Existing systems for determining a guest's interest degree in a building, such as housing exhibition sites, face challenges in accurately collecting interest degree information due to unreliable guest responses and varying collection capabilities based on host skills.
Innovation Solution
An interest degree determination system that includes a server device, first sensors to detect physiological information, second sensors to detect guest location, and third sensors to detect predefined actions, allowing the server device to analyze this data to determine the guest's interest degree and output relevant information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a preliminary questionnaire and host conversation are used to determine guest interest degree, then the system is simple and easy to operate, but the accuracy and reliability of interest degree information is low
Solution Approach 1:
The patent introduces sensors as intermediary devices that objectively measure guest interest degree through physiological information (heart rate, skin conductance), location data, and action detection. These sensors act as mediators between the guest's internal state and the system's measurement, eliminating the need for subjective self-reporting while providing quantifiable data.
Solution Approach 2:
The patent replaces the mechanical/manual system of host observation and guest self-reporting with an automated sensor-based system. The sensors automatically detect and transmit physiological and behavioral data to the server, which processes the information to determine interest degree, substituting human judgment with objective measurement.
2Reliability
If host conversation and analysis are used to collect interest degree information, then the system requires minimal equipment, but the information quality varies significantly based on host skills
Solution Approach 1:
The sensor system performs self-service by automatically detecting, recording, and transmitting interest degree information without requiring host intervention for data collection. The sensors autonomously monitor physiological parameters and guest behavior, eliminating variability introduced by different host skills while maintaining consistent information quality.
Solution Approach 2:
The system continuously receives feedback from sensors regarding guest physiological state and behavior, processing this information to dynamically determine interest degree. The server analyzes the feedback loop of sensor data to adjust and refine interest degree assessment in real-time, ensuring reliable and consistent measurements regardless of host capability.
Data Source
AI summary
A server device (10) includes a reception part (22) that receives physiological information, location information, and action information of a guest, and an interest degree analysis section (33) that determines, on the basis of the physiological information, the location information, and the action information received by the reception part (22), an interest degree of the guest with respect to a building, and outputs interest degree information indicative of the interest degree.