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Computer Science > Human-Computer Interaction

arXiv:2304.07810 (cs)
[Submitted on 16 Apr 2023 (v1), last revised 27 Jul 2023 (this version, v2)]

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

Authors:Zheng Zhang, Jie Gao, Ranjodh Singh Dhaliwal, Toby Jia-Jun Li
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Abstract: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.
Comments: 30 pages, published in UIST'23
Subjects: Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (cs.LG)
Cite as: arXiv:2304.07810 [cs.HC]
  (or arXiv:2304.07810v2 [cs.HC] for this version)
  https://doi.org/10.48550/arXiv.2304.07810
Related DOI: https://doi.org/10.1145/3586183.3606800

Submission history

From: Zheng Zhang [view email]
[v1] Sun, 16 Apr 2023 15:29:03 UTC (8,960 KB)
[v2] Thu, 27 Jul 2023 20:24:42 UTC (4,155 KB)
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