Vehicle Occupant Data Analysis for Hidden Attraction Discovery
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Solution Overview
Problem
Current sightseeing guidance systems are limited in discovering both well-known and hidden tourist attractions, as they rely on pre-stored data and lack the ability to dynamically identify and promote new or lesser-known attractions based on real-time occupant experiences and vehicle locations.
Innovation Solution
An information processing system that acquires occupant and vehicle information, determining when a vehicle has approached a hidden tourist attraction by analyzing occupant excitement levels and environmental data, and generating tourist attraction information for travel agencies to enhance their services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sightseeing guidance systems use pre-stored determination image data and onboard cameras, then they can provide automated tourist guidance, but they cannot discover hidden tourist attractions that are not yet in the database
Solution Approach 1:
The system introduces feedback loops where occupant information (excitement levels, comments) is continuously collected and fed back to update the determination criteria for hidden tourist attractions. This allows the system to adapt and improve its ability to discover new attractions based on real-time user experiences, resolving the contradiction between using pre-stored data and discovering new attractions.
Solution Approach 2:
The system transitions from static pre-stored determination image data to dynamic real-time analysis by incorporating live occupant information and vehicle location data. This dynamic approach enables the system to adapt to new situations and discover hidden attractions that were not previously identified, overcoming the limitation of relying solely on pre-stored data.
2Measurement precision
If the system collects and analyzes real-time occupant information and vehicle location data, then it can identify hidden tourist attractions, but it increases system complexity and data processing requirements
Solution Approach 1:
The system uses multi-functional components that serve multiple purposes. For example, the occupant information acquisition device not only detects excitement levels for attraction identification but also provides data for improving overall service quality and personalizing tourist experiences. This reduces the need for separate dedicated systems and lowers overall complexity while maintaining high measurement precision.
Solution Approach 2:
The system introduces an information processing device as an intermediary that mediates between raw data collection (occupant information, vehicle location) and the determination of hidden tourist attractions. This intermediary processes and filters data, making the overall system more manageable and less complex while maintaining accurate identification capabilities.
3Reliability
If the system uses pre-stored determination image data for sightseeing guidance, then it can provide consistent guidance service, but it cannot adapt to new or lesser-known attractions
Solution Approach 1:
The system performs preliminary actions by collecting and analyzing occupant information and vehicle location data in real-time to proactively identify potential hidden tourist attractions before they are added to official databases. This preliminary detection capability allows the system to maintain reliability for known attractions while simultaneously adapting to discover and guide tourists to new attractions.
Solution Approach 2:
The system enables self-service by allowing occupant information and user experiences to automatically contribute to the identification and validation of hidden tourist attractions. This self-updating mechanism maintains service consistency for known attractions while automatically adapting to new discoveries, reducing the need for manual system updates and maintaining reliability while improving adaptability.
Data Source
AI summary
An information processing system includes a vehicle and an information processing device that acquires information acquired by the vehicle from the vehicle. The vehicle acquires information on an occupant in a passenger compartment of the vehicle, and acquires position information of the vehicle. When it is determined based on the information on the occupant that the vehicle has traveled to the vicinity of a hidden tourist attraction, the information processing device generates tourist attraction information including the position information of the vehicle at a point at which the determination has been performed.