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LevelMerge: Collaborative Game Level Editing by Merging Labeled Graphs.

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    This study introduces a novel system for real-time collaborative game level editing. The algorithm ensures game level coherence during concurrent edits, enhancing teamwork in game development.

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    Area of Science:

    • Computer Science
    • Human-Computer Interaction
    • Software Engineering

    Background:

    • Game development is inherently collaborative, requiring efficient teamwork.
    • Cloud-based services demonstrate the potential of real-time collaboration.
    • Existing game development tools often lack robust real-time collaborative editing features.

    Purpose of the Study:

    • To present a system for real-time collaborative game level editing.
    • To ensure the coherence of shared game levels during concurrent edits.
    • To validate the effectiveness and benefits of the collaborative workflow.

    Main Methods:

    • Modeling collaborative game level editing as merging labeled directed acyclic graphs.
    • Developing an algorithm to maintain hierarchical and semantic coherence.
    • Implementing real-time merge initiation and user monitoring within the game editor interface.
    • Validating the system through merging complex edits, large game levels, and a user study with expert game developers.

    Main Results:

    • The proposed algorithm successfully merges complex edits and large game levels while maintaining coherence.
    • The real-time collaboration system functions effectively, allowing users to monitor ongoing edits.
    • A user study with expert game developers confirmed the system's functionality and the benefits of collaborative workflows.

    Conclusions:

    • The developed system provides a robust solution for real-time collaborative game level editing.
    • The algorithm ensures data integrity and coherence in a shared editing environment.
    • Collaborative workflows significantly benefit the game development process, improving efficiency and teamwork.