VR Tour Route Planning With Real-Time Zone Interest Updates
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Solution Overview
Problem
Existing VR-based tour route systems fail to dynamically adapt to real-time changes in tourism areas and user preferences, leading to suboptimal tour experiences.
Innovation Solution
A VR-based tour route providing apparatus that tracks user movements, generates tour routes based on zone interest and time, and updates VR data in real-time, incorporating user feedback and staff insights to optimize tour experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If VR data is updated in real-time to reflect changed area information and zone information, then the adaptability of the tour route system to real-time changes is improved, but the device complexity increases due to continuous data reception and processing requirements
Solution Approach 1:
The system implements dynamic updating of VR data by continuously receiving area information and zone information from servers, and automatically regenerating tour routes based on real-time changes. This allows the system to adapt to real-time changes in tourism areas while managing complexity through automated dynamic processes
Solution Approach 2:
The system establishes a feedback loop where area information and zone information are continuously received from servers, processed to detect changes, and used to update VR data and regenerate tour routes. This feedback mechanism enables real-time adaptability while systematic processing manages the complexity of continuous updates
2Ease of operation
If tracking data is collected and analyzed to generate personalized tour routes based on user movement patterns and zone visit information, then the ease of operation is improved through personalized routes, but the loss of information increases due to the large volume of data that must be processed and stored
Solution Approach 1:
The system extracts only the essential and relevant features from tracking data, such as user movement patterns, preferred zones, and visit frequencies. By extracting key information rather than processing all raw data, the system generates personalized tour routes while minimizing information loss and reducing processing requirements
Solution Approach 2:
The system performs preliminary analysis of tracking data to identify user preferences and behavior patterns before generating tour routes. This preliminary processing organizes and condenses large volumes of tracking information into meaningful insights, reducing the information burden during route generation while maintaining personalization quality
3Productivity
If the system calculates average tour times and groups zones of interest to create optimized tour routes within request time ranges, then the productivity is improved through efficient route planning, but the device complexity increases due to the computational requirements of time calculation and route optimization
Solution Approach 1:
The system segments the tourism area into distinct zones and calculates tour times for each zone independently. By dividing the overall route planning into smaller zone-level segments, the system can efficiently compute average tour times and optimize routes within request time ranges while managing computational complexity through modular processing
Solution Approach 2:
The system changes the parameter of tour route representation from static predefined routes to dynamic optimized routes based on calculated average tour times and user preferences. By adjusting routes based on time parameters and zone groupings, the system improves productivity while systematic parameter management helps control the complexity of optimization calculations
Data Source
AI summary
A virtual reality (VR)-based tour route providing apparatus, which creates a tour route of a corresponding tourism area through a VR experience in which a tourism area of users is implemented according to one embodiment of the present invention, includes an area information receiver, a zone information receiver, a VR data generator, a tracking data generator, a zone visit information generator, a zone-of-interest selection unit, and a tour route information generator.