基于氛围编码的交互式可视化有效生成研究：一项实证研究
Towards Effective Generation of Interactive Visualizations with Vibe Coding: An Empirical Study
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中文总结 AI 辅助
本研究通过78名参与者的用户研究，系统性评估氛围编码生成交互式可视化的能力、用户体验与协作策略，为优化氛围编码实践提供了见解。
中文摘要 AI 辅助
传统上，构建交互式可视化需要大量人力，涉及技术实现与设计决策。近年来，氛围编码（vibe coding）作为一种利用大语言模型从自然语言规范生成、解释和重构代码的编程范式，成为减轻负担的有前景方法。然而，氛围编码在构建交互式可视化方面的能力与局限性仍未被探索。为解决这一缺口，我们开展了一项包含78名参与者的用户研究，要求他们使用氛围编码构建交互式可视化；我们还通过问卷、访谈和案例分析收集用户反馈。基于该研究，我们考察了氛围编码在生成交互式可视化时的（1）能力、（2）用户体验，以及（3）采用的实际人机协作策略。研究结果提供了对氛围编码用于交互式可视化构建的首次系统性评估，揭示了其优势与局限性，解释了开发者劳动的转变，并确定了参与者采用的混合协作策略。此外，本研究为更直观、稳健的氛围编码实践提供了见解。
英文摘要
Constructing interactive visualizations has traditionally required substantial human effort, involving both technical implementation and design decision-making. Recently, vibe coding, a programming paradigm leveraging Large Language Models to generate, interpret, and refactor code from natural language specifications, has emerged as a promising approach to reduce the burden. However, the capabilities and limitations of vibe coding in building interactive visualizations remain unexplored. To address this gap, we conducted a user study with 78 participants that were tasked with constructing interactive visualizations using vibe coding. We further collected users feedback through questionnaires, interviews, and case analyses. Based on this study, we examine (1) the capabilities and (2) user experience of vibe coding in generating interactive visualizations, and (3) the practical human-agent collaboration strategies adopted. Our findings provide the first systematic assessment of vibe coding for interactive visualization construction, revealing both its strengths and limitations, explaining the shift in developer labor and identifying the hybrid collaboration strategies participants adopted. Furthermore, our study offers insights for more intuitive and robust vibe coding practices.
发表机构
- Beijing Institute of Technology（北京理工大学）
机构由 AI 辅助整理，请以论文原文为准。
