arXiv:2607.21598cs.HCcs.AI2026-07
用可视化控制面板帮助用户更准确表达大模型需求
Control panels to clarify user intent with Large Language Models
- 设计视觉化控制面板引导用户构建意图明确的提示词
- 相比传统输入框，能显著提升用户提示词的有效性
- 适合需要精准交互的AI应用开发与普通用户
大型语言模型的典型用户界面仅提供空白提示框，用户需自行输入自然语言查询，但缺乏引导。本文提出一种可视化控制面板界面，通过提供更多提示语义线索，帮助用户更轻松地表达真实意图。该方法强调识别而非回忆，使用户能够更有效地构建与自身意图相符的提示词。
原文摘要 · Abstract (English)
Typical user interfaces for Large Language Models present a blank prompt window that invites a natural language query by users, but offers little guidance. This paper proposes a visual control panel interface that would provide more cues to the semantics of prompt formation, enabling users to more easily express their intent. By emphasizing recognition over recall, control panels help users formulate more effective prompts that match their intent.
人机交互提示工程可视化
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