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Designing a flexible tool for rapid implementation of brain-computer interfaces (BCI) in game development.

E Kinney-Lang, S Murji, D Kelly

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 6, 2020
    PubMed
    Summary

    This study introduces the P300 Dynamic Cube (PDC), a tool making brain-computer interfaces (BCI) more engaging for gaming. The PDC asset achieved 75% accuracy in trials, aiding BCI game development.

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    Area of Science:

    • Neuroscience
    • Human-Computer Interaction
    • Game Development

    Background:

    • Neurological impairments can cause severe physical limitations despite intact cognition.
    • Brain-computer interfaces (BCI) offer potential for restoring environmental control.
    • Current BCIs often lack engagement, hindering prolonged use, especially for younger users.

    Purpose of the Study:

    • To develop a tool for integrating BCI control into gaming environments.
    • To enhance user engagement in BCI applications.
    • To facilitate rapid adoption of BCI technology in game design.

    Main Methods:

    • Development of the P300 Dynamic Cube (PDC) asset for BCI game integration.
    • Utilizing the P300 oddball response as the BCI control scheme.
    • Testing the PDC in online BCI environments with healthy adult participants (n=20).

    Main Results:

    • The PDC asset demonstrated effectiveness in online BCI environments.
    • Median classification accuracy of 75 ± 3.28% was achieved.
    • The PDC tool showed rapid adaptability for diverse game designs, as seen in the BCI Game Jam 2019.

    Conclusions:

    • The P300 Dynamic Cube (PDC) is a valuable asset for BCI-based game development.
    • The PDC facilitates the creation of more engaging and accessible BCI applications.
    • This tool supports researchers and game developers in advancing BCI technology for broader use.