Automatic User Interaction Execution in Virtual Spaces
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Solution Overview
Problem
Existing virtual space systems lack the capability to automatically execute user interactions on behalf of users who are not participating in the virtual space, failing to enhance user interactions with increasing interaction levels and provide continuous engagement.
Innovation Solution
A system comprising a server and client computing platforms that monitor user interactions, determine patterns, and automatically execute user interactions based on interaction levels, including selection of interaction types, quantity, duration, and frequency, using modules such as the user interaction module, automatic action determination module, and automatic action execution module.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic execution of user interactions is implemented, then user engagement and interaction value are enhanced, but system complexity increases
Solution Approach 1:
The system automatically monitors user interactions, determines patterns, and executes actions without requiring manual intervention. The automatic action determination module analyzes user behavior patterns and the automatic action execution module carries out actions autonomously, enabling the system to serve itself rather than requiring continuous user input or administrator intervention.
Solution Approach 2:
The system continuously monitors user interactions and uses this feedback to determine patterns and adjust automatic actions. The user interaction module collects data on user behavior, which feeds into the automatic action determination module to refine future actions, creating a closed-loop feedback system that adapts to user preferences and improves engagement over time.
2Productivity
If interaction level advancement is tied to automatic actions, then user progression is enhanced, but measurement and detection difficulty increases
Solution Approach 1:
The system continuously monitors user interactions and automatically determines interaction levels based on accumulated data. The feedback loop ensures that interaction levels are accurately measured and updated based on actual user behavior patterns, making the measurement process systematic and reliable rather than difficult or subjective.
Solution Approach 2:
The system replaces manual measurement and assessment of user interaction levels with automated computational algorithms. The automatic action determination module uses data processing and pattern recognition to objectively measure interaction levels, substituting complex manual evaluation with systematic computational methods that are easier to implement and maintain.
Data Source
AI summary
A system and method for facilitating automatic execution of user interaction in a virtual space are disclosed. For such facilitations, interactions initiated by users may be monitored and examined. The examination of the user interactions may be made based on various parameters that depend on user interaction levels in the virtual space. Based on results of such examinations, user interactions to be automatically executed in the virtual space while the users are not participating in the virtual space may be determined. In some examples, such determinations may be based on the user interaction levels in the virtual space and/or one or more virtual items and/or real-world currencies spent by the users for the automatic execution of the user interactions.