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arXiv 2608.30793cs.HCcs.SD

LipCoder:语音驱动的编程工具包

LipCoder: Voice-Enabled Coding Toolkit

发表机构首尔国立大学
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  • Seoul National University(首尔国立大学)

机构由 AI 辅助整理,请以论文原文为准。

Hayoon Kim, Sungho Lee, Juhwi Kim, Bongwon Suh, Kyogu Lee

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中文总结 AI 辅助

针对视障程序员无法使用AI辅助编程环境的问题,提出语音驱动编程工具包LipCoder,经5名视障程序员对比评估,其听觉优先设计或可拓宽语音编程环境的可访问性。

中文摘要 AI 辅助

AI辅助编程环境已加速软件开发,催生了氛围编程(vibe coding)等新范式,但现有屏幕阅读器和辅助工具对这些新兴工作流的支持有限,视障程序员大多无法受益。我们推出LipCoder,一款以语音为核心的编程工具包,旨在通过听觉和语音界面提供编辑器级功能。LipCoder具备语音反馈和耳标(earcon)提示以辅助理解与验证,还支持自然语言输入用于导航和修改。在一项探索性评估中,5名视障程序员完成了一系列编码任务,将LipCoder与VSCode、Copilot、VoiceOver组成的基准工具进行对比。定量趋势和定性反馈为听觉优先设计指明了方向,或可拓宽语音驱动编程环境的可访问性。

英文摘要

AI-assisted programming environments have accelerated software development, giving rise to new paradigms like vibe coding. However, their benefits remain largely inaccessible to visually impaired programmers, as existing screen readers and assistive tools offer limited support for these emerging workflows. We introduce LipCoder, a voice-centric programming toolkit designed to deliver editor-level functionality through auditory and speech-based interfaces. LipCoder offers features comprising speech feedback and earcon cues for comprehension and validation, as well as natural language input for navigation and modification. In an exploratory evaluation, 5 visually impaired programmers performed a series of coding tasks comparing LipCoder with a baseline of VSCode, Copilot, and VoiceOver. Quantitative trends and qualitative feedback point to directions for auditory-first design that may broaden accessibility in speech-driven coding environments.

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