Emotion Detection System for Personalized Navigation Guidance
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Solution Overview
Problem
Conventional navigation systems do not effectively utilize emotion information to provide personalized route guidance, limiting the integration of emotional states into route planning and information delivery.
Innovation Solution
An information provision system that includes emotion detection means to record and analyze user emotions and generate browsing information based on predetermined emotional states, allowing for personalized route suggestions and information sharing between users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If emotion detection is added to navigation systems, then personalized route guidance is improved, but system complexity increases
Solution Approach 1:
The patent combines emotion detection functionality with existing navigation systems by integrating an emotion detection unit that works alongside the route guidance unit. The emotion information is merged with navigation data to create personalized routes, allowing the system to leverage existing navigation infrastructure while adding emotional awareness capabilities.
Solution Approach 2:
The navigation system is designed to perform multiple functions: traditional route guidance plus emotion-based personalized guidance. The emotion detection unit serves multiple purposes by not only detecting user emotions but also by storing emotion information in a database for later analysis and route optimization, making the system multi-functional.
2Productivity
If emotion information is stored and analyzed, then browsing information generation is improved, but information processing time increases
Solution Approach 1:
The system performs preliminary actions by continuously detecting and storing emotion information in the emotion information storage unit before the user requests browsing information. This pre-processing of emotion data allows the browsing information generation unit to quickly retrieve and analyze relevant emotion patterns without significant processing delays when the user actually needs information.
Solution Approach 2:
The system implements feedback loops where emotion detection continuously monitors user emotional states, stores this information, and uses it to generate browsing information that responds to user needs. This feedback mechanism allows the system to adapt to changing user emotions and provide timely relevant information.
3Adaptability or versatility
If multiple users' emotion information is collected, then social sharing capability is improved, but data privacy concerns increase
Solution Approach 1:
The system applies local quality by processing and storing emotion information on a per-user basis rather than creating a centralized database of all users' emotions. Each user's emotion data is handled independently, allowing social sharing functionality while maintaining privacy boundaries through localized data management.
Data Source
AI summary
An information provision system that allows appropriate information provision suited for a user who is a driver. The information provision system includes: an emotion information database that records emotion information detected by an emotion detection part that detects emotion of a user and outside information being associated with the emotion information; and a browsing information generation part that generates browsing information when a predetermined emotion kind is detected by the emotion detection means.