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HCI∧2 framework: a software framework for multimodal human-computer interaction systems.

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    The HCI^2 Framework offers a novel software solution for multimodal human-computer interface (MHCI) systems, enhancing development with its publish/subscribe architecture and integrated development environment. This framework demonstrates superior performance in message latency and data throughput compared to existing tools.

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    Area of Science:

    • Computer Science
    • Human-Computer Interaction
    • Software Engineering

    Background:

    • Multimodal Human-Computer Interface (MHCI) systems require robust software frameworks for efficient development and research.
    • Existing frameworks may lack comprehensive support for the entire MHCI development lifecycle or interoperability.

    Purpose of the Study:

    • To introduce the HCI^2 Framework, a novel software solution for MHCI system development.
    • To provide an integrated development environment (IDE) that supports all stages of MHCI system creation.
    • To demonstrate the framework's performance and interoperability capabilities.

    Main Methods:

    • Developed a software framework based on a publish/subscribe (P/S) architecture.
    • Implemented shared-memory and TCP-based protocols for data transport and system management.
    • Integrated bridging modules for interoperability with other frameworks (e.g., Psyclone, ActiveMQ).
    • Created a graphical IDE for module development, debugging, packaging, management, and system testing.

    Main Results:

    • The HCI^2 Framework exhibited lower average message latency and higher maximum data throughput than comparable tools in single PC scenarios.
    • Demonstrated successful integration of heterogeneous modules with diverse hardware and software.
    • Presented the CamGame system, a full MHCI system developed using the framework for a marker-based camera game.

    Conclusions:

    • The HCI^2 Framework provides an efficient and comprehensive solution for MHCI system development.
    • Its architecture and integrated IDE facilitate the creation and management of complex MHCI systems.
    • The framework's performance and interoperability make it a valuable tool for MHCI research and application.