Virtual City Disease Events With Early Warning Task Feedback
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Solution Overview
Problem
Simulation business games lack realistic medical treatment processes, leading to simplified gameplay and reduced player interaction and engagement.
Innovation Solution
Implement a method to simulate medical processes in virtual cities by introducing target diseases with trigger probabilities and intervals, displaying crisis early warning tasks, and reducing disease transmission rates upon task completion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If pure hanging playing modes are used for medical treatment in simulation business games, then the game operation is simplified and easy to run, but the player interaction and engagement are reduced
Solution Approach 1:
The patent transforms the static pure hanging playing mode into a dynamic interaction mode where players can actively manage diseases. The system dynamically adjusts disease transmission rates based on player actions (building hospitals, issuing policies), creating a responsive gameplay experience that balances simplicity with engagement.
Solution Approach 2:
The patent implements feedback mechanisms where player actions (building hospitals, issuing policies) directly impact disease transmission rates. The system provides visual feedback through crisis early warning tasks and disease spread visualization, allowing players to see the consequences of their management decisions and adjust strategies accordingly.
2Device complexity
If medical treatment processes are simplified in simulation business games, then the game development complexity is reduced, but the game realism is compromised
Solution Approach 1:
The patent uses parameter changes to simulate complex medical processes. Instead of implementing detailed medical procedures, the system adjusts disease transmission rate parameters based on player actions (hospital density, policy implementation). This approach maintains realism through parameter-driven simulation while keeping development complexity manageable.
Solution Approach 2:
The patent introduces intermediary elements (hospitals, policies) that mediate between player actions and disease transmission outcomes. These intermediaries simplify the simulation by acting as intermediate variables that represent complex medical infrastructure and public health measures without requiring detailed medical process implementation.
3Adaptability or versatility
If crisis early warning tasks are displayed to players, then player engagement is improved, but the information processing load on the terminal device increases
Solution Approach 1:
The patent extracts and displays only the most critical information (crisis early warning tasks, disease spread status) to players, rather than presenting all available data. This selective information extraction reduces the processing load on terminal devices while maintaining player engagement through focused, actionable alerts.
Solution Approach 2:
The patent implements partial information display by showing only relevant crisis warnings and disease statistics rather than complete disease database information. This partial action approach reduces energy consumption by processing and displaying only essential information while still providing sufficient engagement for effective disease management.
Data Source
AI summary
A method for processing game information, including: obtaining a target disease in a game of a virtual city, where the target disease comprises at least one disease in a disease database; determining a current transmission target disease in the virtual city according to a trigger probability and a trigger interval of the target disease, where the current transmission target disease is set to transmit in the virtual city at a preset rate; displaying a crisis early warning task corresponding to the current transmission target disease on the graphical user interface, where the crisis early warning task includes a disease name of the current transmission target disease and corresponding task information; and reducing, in response to completing the task information, the preset rate of transmission of the current transmission target disease in the virtual city.