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LightVA: Lightweight Visual Analytics With LLM Agent-Based Task Planning and Execution.

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    This summary is machine-generated.

    This study introduces LightVA, a visual analytics framework using large language model agents to automate task planning and data exploration. LightVA enhances efficiency and transparency in gaining insights from data.

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    Area of Science:

    • Computer Science
    • Data Science
    • Human-Computer Interaction

    Background:

    • Visual analytics is crucial for data insights but demands significant analyst effort.
    • Current processes necessitate intelligent and lightweight approaches for efficiency.
    • Large language models (LLMs) offer potential for automating complex analytical tasks.

    Purpose of the Study:

    • To propose LightVA, a novel visual analytics framework.
    • To leverage LLM agents for automated task planning, data modeling, and interactive exploration.
    • To enhance the efficiency and transparency of the visual analytics workflow.

    Main Methods:

    • Developed a framework (LightVA) based on the relationships between goal, task, data, visualization, and insight.
    • Introduced an LLM-agent-based system with a planner, executor, and controller for recursive task planning and execution.
    • Created a system featuring a task flow diagram and interactive visualization panel for improved control and transparency.

    Main Results:

    • The LightVA framework effectively supports task proposal, data modeling, and interactive visual exploration.
    • The LLM-agent-based approach demonstrated dynamic task complexity accommodation.
    • The developed system provides a more controllable and transparent visual analytics workflow.

    Conclusions:

    • LightVA offers a lightweight and intelligent solution for visual analytics.
    • Human-agent collaboration within LightVA streamlines the process of gaining insights from data.
    • The framework shows promise in reducing development costs and increasing the versatility of visual analytics tools.