Space Selection Heat Map for Predicting Occupant Comfort
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Solution Overview
Problem
Existing seat reservation systems fail to predict accurately whether a reserved seat will be comfortable for the user, and this issue extends to the selection of specific space units such as rooms or parking places, as they do not consider the nature or behavior of surrounding occupants.
Innovation Solution
An information processing system that generates a heat map based on attribute information, such as sensitivity values, to help users select a specific space unit by indicating the credibility or behavior of surrounding individuals or groups, using a sensitivity server to gather and analyze interaction data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a seat reservation system designates seats based on basic preferences (window side, aisle side, front side, center, rear side), then users can select their preferred seats, but the system cannot accurately predict whether the reserved seat will be comfortable for the user when they actually sit in it
Solution Approach 1:
The system performs preliminary analysis of surrounding occupants' attributes (gender, age, smoking preferences, group size) before seat assignment. This advance preparation of information allows the system to predict potential comfort issues and make informed seat allocation decisions, rather than waiting until after reservation to assess compatibility
Solution Approach 2:
The system introduces an intermediary analysis layer that processes attribute information about both the reserving user and surrounding occupants. This intermediary layer evaluates compatibility factors (such as matching smoking preferences, avoiding incompatible group sizes) and translates raw attribute data into comfort predictions, bridging the gap between basic seat selection and actual comfort outcome
2Ease of operation
If the system allocates seats without considering attribute information of surrounding occupants, then the reservation process is simple and fast, but users cannot make informed decisions about space selection
Solution Approach 1:
The system automatically gathers attribute information about surrounding occupants and performs compatibility analysis without requiring users to manually input or search for this information. The system serves itself by autonomously evaluating seat comfort factors and presenting recommendations, maintaining operational simplicity while enriching decision-making information
Solution Approach 2:
The system changes the parameters presented to users from simple seat location identifiers to enriched information including predicted comfort levels and compatibility indicators. By transforming basic seat numbers into informed recommendations with supporting attribute analysis, the system enhances decision quality without significantly complicating the reservation workflow
Data Source
AI summary
The information processing system includes a generation unit that specifies a user who occupies or reserves occupation of a specific space unit in a predetermined area, and generates a heat map in accordance with attribute information about the user and a providing unit that provides the heat map as a user interface for the user to select a specific space in the predetermined area.