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VISAR: A Human-AI Argumentative Writing Assistant with Visual Programming and Rapid Draft Prototyping

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arxiv 2304.07810 v2 pith:4KJTMNAF submitted 2023-04-16 cs.HC cs.AIcs.CLcs.LG

classification cs.HCcs.AIcs.CLcs.LG
keywords writingvisarargumentativeplansassistantbrainstormcontextdraft
verification ladder T0 review T1 audit T2 compute T3 formal

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In argumentative writing, writers must brainstorm hierarchical writing goals, ensure the persuasiveness of their arguments, and revise and organize their plans through drafting. Recent advances in large language models (LLMs) have made interactive text generation through a chat interface (e.g., ChatGPT) possible. However, this approach often neglects implicit writing context and user intent, lacks support for user control and autonomy, and provides limited assistance for sensemaking and revising writing plans. To address these challenges, we introduce VISAR, an AI-enabled writing assistant system designed to help writers brainstorm and revise hierarchical goals within their writing context, organize argument structures through synchronized text editing and visual programming, and enhance persuasiveness with argumentation spark recommendations. VISAR allows users to explore, experiment with, and validate their writing plans using automatic draft prototyping. A controlled lab study confirmed the usability and effectiveness of VISAR in facilitating the argumentative writing planning process.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Polymind: Parallel Visual Diagramming with Large Language Models to Support Prewriting Through Microtasks

    cs.HC 2025-02 conditional novelty 6.0 of 10

    Polymind introduces parallel, configurable LLM microtasks on a diagramming canvas for prewriting, and a small user study indicates it affords users more control and customization than turn-taking chatbot interaction.

  2. MeetMap: Real-Time Collaborative Dialogue Mapping with LLMs in Online Meetings

    cs.HC 2025-02 conditional novelty 6.0 of 10

    A real-time collaborative dialogue mapping system with two levels of AI assistance improved meeting participants' sense-making and consensus compared to a transcript-plus-notes baseline.

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