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People tend to know what behavior is expected of them in specific, familiar settings. A script is a person’s knowledge about the sequence of events expected in a specific setting (Schank & Abelson, 1977). Essentially, scripts are a particular kind of schema, one containing default values for the features within an event. In the restaurant example, the script's features include the props (e.g., tables, menu, food, and money), the roles to be played (e.g., customer and waiter), the opening...
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X's Day: Personality-Driven Virtual Human Behavior Generation.

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    Summary
    This summary is machine-generated.

    This study introduces a new method for creating realistic virtual human behaviors in virtual reality (VR) and augmented reality (AR) using personality traits and environment context. The framework generates long-term daily activities, enhancing user engagement in immersive applications.

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    Area of Science:

    • Computer Science
    • Artificial Intelligence
    • Human-Computer Interaction

    Background:

    • Realistic virtual human behavior is crucial for immersive virtual reality (VR) and augmented reality (AR) experiences.
    • Current methods often lack long-term coherence and context-awareness in virtual agent behavior generation.

    Purpose of the Study:

    • To develop a novel framework for generating long-term, personalized, and context-aware behaviors for virtual agents.
    • To enhance user engagement in VR/AR applications through more realistic virtual human interactions.

    Main Methods:

    • A hierarchical behavior generation framework modeling Needs, Task, and Activity levels.
    • Integration of a Behavior Planner and World State module for dynamic behavior sampling.
    • Utilizing large language models (LLMs) for autoregressive generation of daily activities.

    Main Results:

    • Demonstrated effectiveness and adaptability of the framework across diverse scenarios.
    • Successful generation of convincing and realistic long-term virtual human behaviors.
    • Validation of the approach through extensive experiments.

    Conclusions:

    • The proposed framework establishes a new paradigm for personalized and context-aware virtual human interactions.
    • This research significantly contributes to advancing the field of virtual agents and immersive technologies.
    • The approach enhances user engagement by creating more believable and responsive virtual companions.