Dynamic Virtual World Location Generation for Seamless Avatar Access
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Solution Overview
Problem
In virtual universes, seasoned avatars face inefficiencies and resource wastage due to the need for repeated teleportation to visit multiple favorite locations, which is time-consuming and resource-intensive.
Innovation Solution
A method and system for dynamically rendering a continuous environment based on a preference list of locations most likely to be visited by an avatar, using a probability calculation component, prioritization component, and rendering component to create a personalized initial location that allows seamless access to preferred locations without teleportation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If an avatar teleports repeatedly to visit multiple favorite locations, then the avatar can access multiple locations, but it becomes time-consuming and resource-intensive
Solution Approach 1:
The virtual world is segmented into multiple virtual regions that can be simultaneously loaded and rendered. Instead of loading one region at a time, the system divides the world into manageable regions and pre-loads multiple regions containing favorite locations, allowing the avatar to access them without teleportation delays.
Solution Approach 2:
The system performs preliminary actions by pre-calculating and pre-loading virtual regions containing favorite locations before the avatar needs to visit them. The preference list is created in advance, and corresponding regions are rendered and made accessible beforehand, eliminating the need for time-consuming teleportation when the avatar wants to visit these locations.
2Ease of operation
If an avatar teleports repeatedly to visit multiple favorite locations, then the avatar can access multiple locations, but resource usage increases
Solution Approach 1:
The virtual world is segmented into multiple virtual regions that can be simultaneously loaded and rendered. Instead of loading one region at a time, the system divides the world into manageable regions and pre-loads multiple regions containing favorite locations, allowing the avatar to access them without teleportation delays.
Solution Approach 2:
The system creates virtual copies of regions containing favorite locations and loads them into the avatar's current environment. Instead of teleporting the avatar to distant locations, virtual copies of those locations are rendered in the current region, allowing the avatar to access them locally without the resource cost of teleportation.
3Adaptability or versatility
If the virtual world loads and displays default regions based on login environment, then new users can learn the rules, but seasoned avatars are limited in accessing multiple favorite locations
Solution Approach 1:
The login environment is made dynamic by automatically generating a preference list of favorite locations for each avatar and dynamically rendering corresponding virtual regions. Instead of a static default location, the system adapts the login environment to each avatar's preferences, making the system more versatile while managing complexity through automated region selection and rendering.
Solution Approach 2:
The system uses feedback from the avatar's visit history and preferences to automatically update the preference list and adjust the login environment. By monitoring which locations the avatar visits frequently, the system learns and adapts, automatically prioritizing those locations for pre-loading and rendering, thus providing personalized access without manual configuration.
Data Source
AI summary
An approach is provided for dynamic loading and rendering of avatar's initial login environment. The approach consists of a method and a system for dynamically rendering locations from a preference list of locations most likely to be visited by an avatar. In one embodiment the method consists of creating a preference list of locations most likely to be visited by the avatar, rendering a dynamically built continuous environment populated from such preference list of locations most likely to be visited by the avatar, and caching and thereafter rendering at least one of the locations from the preference list of locations most likely to be visited by said avatar.