Emotion-Based Route Guidance System for Personalized Navigation
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Solution Overview
Problem
Conventional route guidance technologies do not consider a user's emotion when providing route guidance, nor do they offer personalized route adjustments or multimedia enhancements like audio, video, and lighting to improve the user's emotional experience during navigation.
Innovation Solution
An apparatus and method that utilize an emotion acquisition sensor to gather user emotion data, calculate emotion-based route information, and provide tailored route guidance, including audio, video, and lighting, to enhance the user's emotional experience by adapting to changes in user emotion during navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional route guidance technology is used that only considers current position and destination, then the route calculation is simple and fast, but the user experience and quality of life are not improved
Solution Approach 1:
The system performs preliminary actions by acquiring user emotion information before route calculation and prepares multiple candidate routes in advance. The emotion-based route selection is prepared beforehand, allowing the system to quickly present personalized routes without complex real-time calculations when navigation is needed.
Solution Approach 2:
The route guidance system dynamically adapts to changing user emotions during navigation. The system continuously monitors emotion changes and dynamically adjusts route recommendations, transforming a static route calculation into a dynamic, emotionally-responsive guidance system that improves user experience without requiring complete recalculation from scratch.
2Adaptability or versatility
If emotion-based route guidance is implemented with real-time emotion monitoring, then personalized route recommendations are provided, but the system complexity and processing requirements increase
Solution Approach 1:
The system implements feedback mechanisms by continuously acquiring user emotion information and using it to adjust route recommendations. The emotion data serves as feedback that loops back to the route selection process, enabling personalized guidance while maintaining manageable system complexity through iterative refinement rather than complex upfront processing.
Solution Approach 2:
The system applies partial action by focusing on key emotion parameters and essential route attributes rather than analyzing all possible variables. It processes only the necessary emotion data and route features needed for effective personalization, avoiding excessive complexity while still providing meaningful emotion-based route recommendations.
3Reliability
If multiple emotion parameters and multimedia outputs are integrated, then the user emotional experience is enhanced, but the energy consumption and computational load increase
Solution Approach 1:
The system applies local quality by providing differentiated multimedia outputs and emotion-based adjustments only where needed along the route, rather than uniformly across all navigation elements. It focuses computational resources on enhancing specific aspects of the user experience that have the greatest emotional impact, reducing overall energy consumption while maintaining high emotional experience quality.
Data Source
AI summary
An apparatus and method are disclosed for providing route guidance based on emotion. The apparatus includes an emotion information acquisition unit, a route information calculation unit, and a route guidance unit. The emotion information acquisition unit obtains information about a user's emotion using an emotion acquisition sensor. The route information calculation unit calculates emotion route information using the obtained emotion information and map information. The route guidance unit provides route guidance to the user using the calculated emotion route information.