Virtual World Location Favorability Pattern Matching
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Solution Overview
Problem
Users in immersive virtual environments often face challenges in discovering the content of unfamiliar virtual locations, leading to a tedious process of trial and error, which is time-consuming and inefficient.
Innovation Solution
A method that analyzes user data to identify patterns of location visits, determines favorability ratings, and stores these patterns in a searchable data structure, allowing users to match their location history and receive graphical indications of favorable locations within the virtual environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users explore unfamiliar virtual locations through trial and error, then they can discover location content, but the process becomes time-consuming and inefficient
Solution Approach 1:
The system performs preliminary analysis of user visit data and location characteristics before users need to explore locations. By pre-computing favorability ratings and storing location patterns in advance, the system eliminates the need for users to spend time exploring unfamiliar locations through trial and error, directly providing them with information about favorable locations.
Solution Approach 2:
The system collects data on user visits to virtual locations and uses this feedback to compute favorability ratings. This feedback mechanism allows the system to learn from user behavior patterns and provide increasingly accurate location recommendations, reducing the time users spend exploring unfavorable locations.
2Productivity
If the system provides detailed location information to users, then navigation efficiency improves, but the system complexity increases due to data collection and analysis requirements
Solution Approach 1:
The system automatically collects user visit data and location information without requiring manual input. The favorability rating computation is performed autonomously by the system using predefined algorithms that analyze user behavior patterns, eliminating the need for complex manual data processing while maintaining high navigation efficiency.
Solution Approach 2:
The system creates simplified representations of complex location data in the form of favorability ratings and location patterns. Instead of managing and processing all raw user interaction data, the system generates condensed copies (ratings and patterns) that capture essential information, reducing system complexity while preserving navigation efficiency.
Data Source
AI summary
Embodiments of the invention provide techniques for providing information describing locations to users of an immersive virtual environment. In one embodiment, patterns of locations visited by various users of the virtual environment may be stored in a searchable data structure(s). Further, characteristics of the location visits may be used to determine whether a given location visit was favorable for each user. Subsequently, locations visited by a current user may be matched to one of the stored patterns of locations. The matching pattern may then be used to provide favorability information describing other locations available to the current user. The favorability information may be presented to the user as graphical indications visible within the user's view of the virtual environment.