Virtual Scene Performance Feedback Timing via Segmented Data Collection
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Solution Overview
Problem
Current virtual scene technologies provide a low time relevance for performance status feedback, making it difficult for users to adjust their actions or strategies in real-time within the virtual scene's life cycle.
Innovation Solution
A method and apparatus that obtain and analyze performance data of virtual characters at preset intervals or specific events, determining the best-performing character and generating prompt information to indicate the current best performer, allowing for timely feedback and improved action policy adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If performance status is provided only after the life cycle of the virtual scene ends, then the feedback is complete for the whole game, but the time relevance is low and users cannot adjust actions in real time
Solution Approach 1:
The patent segments the performance feedback process into multiple stages: real-time performance data collection during the virtual scene life cycle, intermediate performance status determination at preset intervals or upon specified events, and final comprehensive evaluation after the life cycle ends. This segmentation allows users to receive timely performance information without waiting for the entire game to conclude, thereby improving time relevance while maintaining complete performance tracking.
Solution Approach 2:
The patent implements a multi-loop feedback mechanism where performance data is continuously collected during the virtual scene, processed at intermediate points to generate performance status information, and fed back to users in real-time or near-real-time. This enables users to adjust their actions based on current performance rather than waiting for end-game results, directly addressing the time relevance issue.
2Measurement precision
If performance data is collected continuously at high frequency, then real-time feedback accuracy is improved, but system resource consumption increases
Solution Approach 1:
The patent employs periodic action by collecting and processing performance data at preset time intervals or upon occurrence of specified events rather than continuously. This approach maintains sufficient measurement precision for determining performance status while significantly reducing system resource consumption compared to continuous high-frequency data collection.
Solution Approach 2:
The patent performs preliminary filtering and aggregation of performance data before comprehensive analysis. By pre-processing data during collection and only performing detailed analysis at intermediate points or when specified events occur, the system achieves accurate performance status determination with reduced computational overhead and resource usage.
Data Source
AI summary
The present disclosure provides a prompt method and a related apparatus in a virtual scene, and a computer storage medium. The method includes obtaining, by a device comprising a memory and a processor in communication with the memory, at intervals of a preset duration or when a specified event occurs within a life cycle of a virtual scene, performance data of a plurality of virtual characters in the virtual scene within a specified time period. The method also includes determining, by the device, a best-performing virtual character currently in a best performance state in the plurality of virtual characters according to the performance data of the plurality of virtual characters within the specified time period. The method further includes generating and outputting, by the device, prompt information used for indicating the best-performing virtual character, so that a client corresponding to each virtual character in the plurality of virtual characters presents the prompt information.


