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One Dimensional Turing-Like Handshake Test for Motor Intelligence
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MPML3D: Scripting Agents for the 3D Internet.

Helmut Prendinger, Sebastian Ullrich, Arturo Nakasone

    IEEE Transactions on Visualization and Computer Graphics
    |May 19, 2010
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces MPML3D (Multimodal Presentation Markup Language 3D) for scripting agent behavior in virtual worlds like Second Life. It also compares virtual world platforms for agent control and network performance.

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    Area of Science:

    • Computer Science
    • Human-Computer Interaction
    • Virtual Worlds

    Background:

    • Tools for creating content in virtual worlds like Second Life are abundant, but a gap exists for non-programmers needing to script agent behaviors.
    • Existing methods lack expressiveness for controlling complex verbal and nonverbal interactions of computer-controlled agents (bots).

    Purpose of the Study:

    • To introduce a novel scripting language, Multimodal Presentation Markup Language 3D (MPML3D), for specifying communicative behavior in virtual environments.
    • To compare the suitability of Second Life and OpenSimulator platforms for agent control.
    • To evaluate the network performance of Second Life and OpenSimulator.

    Main Methods:

    • Developed a new client software to control bots using MPML3D, an XML-based scripting language.
    • Conducted a comparative analysis of Second Life and OpenSimulator for agent control capabilities.
    • Performed a network performance study comparing both platforms.

    Main Results:

    • MPML3D enables expressive control over the verbal and nonverbal behavior of animated agents in virtual worlds.
    • The study identified specific merits and limitations of Second Life and OpenSimulator regarding agent control.
    • Comparative network performance data was collected for both platforms.

    Conclusions:

    • MPML3D offers a powerful tool for content creators to implement sophisticated agent interactions without extensive programming knowledge.
    • The findings provide valuable insights for developers and researchers choosing between Second Life and OpenSimulator for agent-based applications.
    • Platform comparison aids in understanding trade-offs for virtual world development and agent simulation.