Data visualization practitioners often lack formal training, resulting in a knowledge gap in visualization design best practices. Large-language models like ChatGPT, with their vast internet-scale training data, offer transformative potential in addressing this gap. To explore this potential, we adopted a mixed-method approach. Initially, we analyzed the VisGuide forum, a repository of data visualization questions, by comparing ChatGPT-generated responses to human replies. Subsequently, our user study delved into practitioners' reactions and attitudes toward ChatGPT as a visualization assistant. Participants, who brought their visualizations and questions, received feedback from both human experts and ChatGPT in a randomized order. They filled out experience surveys and shared deeper insights through post-interviews. The results highlight the unique advantages and disadvantages of ChatGPT, such as its ability to quickly provide a wide range of design options based on a broad knowledge base, while also revealing its limitations in terms of depth and critical thinking capabilities.

翻译：数据可视化从业者往往缺乏正规训练，导致其在可视化设计最佳实践方面存在知识鸿沟。具备海量互联网训练数据的大型语言模型（如ChatGPT）在弥合这一鸿沟方面展现出变革性潜力。为探索该潜力，我们采用混合研究方法。首先，通过分析可视化设计问答社区VisGuide的数据集，比较ChatGPT生成的回复与人类回复的差异。随后展开用户研究，深入探讨从业者对ChatGPT作为可视化助手的反应与态度。参与者携带自有的可视化作品及问题，以随机顺序分别接收人类专家与ChatGPT的反馈，并填写体验问卷、参与后续访谈以分享深度见解。研究结果揭示了ChatGPT的独特优势与局限：其优势在于能基于广博知识库快速提供多样化设计方案，局限性则体现在思维深度与批判性能力不足。