Virtual Object Control via Attribute-Based Candidate Filtering
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Solution Overview
Problem
Existing virtual object control methods in computer technologies are inefficient as they require users to manually adjust operation regions to accurately target virtual objects, leading to suboptimal performance and resource wastage.
Innovation Solution
A virtual object control method and apparatus that display a virtual environment screen and a target function control, allowing users to select candidate virtual objects based on preset conditions and automatically control the first virtual object to perform target operations on the selected virtual objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually adjust operation regions to target virtual objects, then the control flexibility is maintained, but the control accuracy and efficiency deteriorate
Solution Approach 1:
The system pre-calculates and presents candidate virtual objects that match the operation parameters before the user confirms the action. This preliminary filtering of targets based on attribute values (health, mana, position, etc.) allows the user to quickly select from a small set of relevant targets rather than manually searching through all possible targets, thereby improving both targeting accuracy and control efficiency
2Ease of operation
If users manually adjust operation regions, then the operation flexibility is preserved, but the time consumption increases
Solution Approach 1:
The system performs preliminary filtering of candidate virtual objects based on operation parameters (attack range, attribute thresholds, position) before presenting options to the user. This pre-processing reduces the time required for target selection while maintaining operation flexibility, as users only need to choose from pre-filtered relevant targets rather than manually adjusting regions to search through all targets
Solution Approach 2:
The patent replaces the manual mechanical adjustment of operation regions with an automated information processing system. Instead of users manually dragging and adjusting region boundaries, the system automatically calculates candidate targets based on attribute values and operation parameters, substituting manual mechanical manipulation with automated computational filtering and presentation of results
3Productivity
If automatic target selection is implemented, then the control efficiency improves, but the system complexity increases
Solution Approach 1:
The target selection process is segmented into distinct functional modules: (1) candidate identification module that filters virtual objects based on attribute thresholds, (2) sorting module that ranks candidates by relevance, (3) presentation module that displays candidate identifiers, and (4) selection confirmation module. This segmentation allows the complex automatic target selection to be implemented as a series of simple, manageable steps, improving control efficiency without overwhelming system complexity
Data Source
AI summary
A virtual object control method includes: displaying a virtual environment screen and a target function control, the target function control being configured to control the first virtual object to perform a target operation which triggers change of a target attribute value of a second virtual object; determining, in response to a trigger operation on the target function control, one or more second virtual objects with target attribute values satisfying a preset condition as one or more candidate virtual objects, and displaying one or more candidate object identifiers of the one or more candidate virtual objects; and determining, in response to a selection operation on one of the one or more candidate object identifiers, that a selected candidate object identifier is a target object identifier, and controlling the first virtual object to perform the target operation on a target virtual object corresponding to the target object identifier.