Familiar Virtual Environment Layout for Faster VR Item Placement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current VR shopping environments require users to navigate through virtual aisles to find products, mimicking real-world shopping, which is time-consuming and inefficient.
Innovation Solution
A method and system that generates a customized interactive virtual environment based on a user's familiar real-world environment, automatically identifies items and their locations, correlates them with corresponding virtual locations, and presents similar items in those locations, allowing users to easily find recommended products.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users navigate through virtual aisles to find products in VR shopping environments, then product availability is maintained, but navigation time increases and shopping efficiency decreases
Solution Approach 1:
The system performs preliminary actions by automatically generating a virtual model of the user's familiar environment, identifying items and their locations in advance, and correlating them with virtual store locations before the user begins shopping. This pre-processing eliminates the need for users to navigate virtual aisles to search for products, as items are directly presented in familiar contextual locations.
Solution Approach 2:
The system creates a copy of the user's familiar real-world environment (home, office, etc.) within the VR shopping interface. By copying familiar spatial arrangements and placing virtual products in corresponding locations, the system eliminates the need for navigation through unfamiliar virtual aisles, significantly reducing navigation time while maintaining product availability.
2Adaptability or versatility
If a customized virtual environment is generated based on user's familiar environment, then product discovery is improved, but system complexity increases
Solution Approach 1:
The system employs a multi-functional approach where a single automated process handles environment scanning, item identification, location correlation, and virtual model generation. This universal process works across different user environments (home, office, etc.) without requiring separate customization procedures, reducing system complexity while maintaining high adaptability to various familiar environments.
Solution Approach 2:
The system performs self-service by automatically generating the virtual environment model and identifying item locations without requiring user input or manual configuration. The automated identification and correlation of items with virtual store locations eliminates the need for complex user setup procedures, reducing perceived system complexity while providing highly customized environments.
3Productivity
If items are automatically identified and correlated with virtual locations, then shopping efficiency is improved, but automation requirements increase
Solution Approach 1:
The system replaces manual mechanical processes (user navigation, item searching, location matching) with automated computational processes. Computer vision algorithms automatically identify items and their locations, while software algorithms correlate these with virtual store locations, eliminating the need for manual user actions and significantly improving shopping efficiency through high-level automation.
Solution Approach 2:
The system uses feedback mechanisms where the automatically generated virtual environment model and identified item locations are continuously refined based on user interactions. This feedback loop allows the system to learn from user behavior and improve item identification and location correlation accuracy over time, maintaining high shopping efficiency while managing automation complexity through adaptive learning.
Data Source
AI summary
A customized computer-generated virtual environment corresponding to an environment familiar to a user for providing items in locations that are familiar to the user based on corresponding real-world environments and locations is provided. In association with the customized computer-generated virtual environment, a method may include generating an interactive virtual environment, wherein the generated interactive virtual environment includes virtual rooms and virtual areas based on the familiar environment. The method may also include identifying an item and a location of the item in the familiar environment, and correlating and associating the identified item with a corresponding location in the generated interactive virtual environment. The method may further include identifying and retrieving different items having a determined similarity to the identified item. The method may also include presenting the different items in the corresponding location of the generated interactive environment based on the determined similarity to the identified item.