Game System Automatic Advancement Mode for Training Simulation
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Solution Overview
Problem
Existing game systems for simulating training of a training object require a significant amount of time due to repetitive processing of selecting and executing actions and displaying performances, leading to a lengthy training period.
Innovation Solution
A game system that includes an object accepting unit for selecting event objects, a mode selection unit for choosing between automatic and manual advancement modes, and an advancing unit that automatically advances actions in the automatic mode or follows user input in the manual mode.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the training object is caused to perform actions selected by the user and the performance is displayed each time, then the training process is detailed and engaging, but a long period of time is required until the training ends
Solution Approach 1:
The system provides dynamic control over the training progression by allowing users to switch between manual mode (step-by-step interaction) and automatic mode (bulk processing). This dynamic adjustment enables users to optimize both engagement and time efficiency based on their preferences and needs.
Solution Approach 2:
In automatic mode, the system performs self-service by automatically selecting and executing actions without requiring continuous user input. The training object autonomously completes actions and the system displays performances, significantly reducing the time required for training while maintaining the same training objectives.
2Reliability
If the user selects and executes actions a plurality of times manually, then the training is thorough, but a long period of time is required
Solution Approach 1:
The automatic advancement mode enables the training system to operate autonomously, executing multiple actions without requiring repeated manual user input. This self-service capability maintains training thoroughness while dramatically improving productivity by eliminating redundant manual operations.
Solution Approach 2:
The system allows users to prepare action selections in advance and then executes them automatically through the automatic advancement mode. This preliminary preparation followed by automated execution ensures training thoroughness is maintained while significantly reducing the time required compared to manual execution of each action.
3Adaptability or versatility
If the series of processing for selecting and executing actions is repeated a plurality of times, then the training is comprehensive, but the processing time increases significantly
Solution Approach 1:
The system dynamically adjusts the processing mode based on user needs, allowing comprehensive training through manual mode when time is available, or switching to automatic mode to reduce processing time while maintaining the same comprehensive training coverage through bulk action execution.
Solution Approach 2:
The automatic advancement mode enables the system to perform comprehensive training processing autonomously, executing multiple action selections and executions without requiring repeated manual user input. This self-service approach maintains training comprehensiveness while significantly reducing the total processing time required.
Data Source
AI summary
A game system that provides a game for simulating training of a training object, which is a game object to be a training target, has: an object accepting unit that accepts selection of an event object associated with an event for changing a parameter indicating a state of the training object; a mode selection unit that selects either an automatic advancement mode or a manual advancement mode in accordance with an operation of a user; and an advancing unit that automatically advances an action to be executed by the training object in the automatic advancement mode, and advances the action in accordance with the operation of the user in the manual advancement mode.