为什么AI不是数据工作者的万灵药？数据叙事中人-AI协作的访谈研究
Why is AI not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytelling
AI总结：
该研究通过访谈18名产学研数据工作者，梳理数据叙事工作流的阶段任务与AI期望角色，明确不同任务的偏好协作模式及人-AI协作的正反原因，为相关研究提供方向。
摘要：
数据叙事在数据工作者的日常工作中发挥着重要作用，因为它能促进团队协作与公众沟通。然而，要打造一个有吸引力的数据故事，数据工作者需要在各类任务上投入大量精力，包括故事大纲设计和样式排版。近年来，越来越多的研究趋势开始探索如何利用先进的人工智能（AI）辅助数据叙事。但现有研究可能仅聚焦于数据叙事工作流中的单个任务，并未揭示人类对于与AI协作的偏好全貌。为了更好地理解真实需求，我们访谈了18名来自产业界和学术界的数据工作者，以了解他们希望在哪些环节、以何种方式与AI协作。令人意外的是，尽管参与者对与AI协作表现出兴趣，但许多人也表达了不情愿的态度，并指出了其中细微的原因。基于他们的回答，我们首先梳理了实际数据叙事工作流中的阶段与任务，以及人们期望AI扮演的角色；随后识别了不同任务中受偏好的协作模式；接着总结了受访者愿意或不愿意与AI协作的原因；最后，我们为人-AI协作的数据叙事提出了建议，以期为未来相关研究提供启发。
英文摘要：
Data storytelling plays an important role in data workers' daily jobs since it boosts team collaboration and public communication. However, to make an appealing data story, data workers spend tremendous efforts on various tasks, including outlining and styling the story. Recently, a growing research trend has been exploring how to assist data storytelling with advanced artificial intelligence (AI). However, existing studies may focus on individual tasks in the workflow of data storytelling and do not reveal a complete picture of humans' preference for collaborating with AI. To better understand real-world needs, we interviewed eighteen data workers from both industry and academia to learn where and how they would like to collaborate with AI. Surprisingly, though the participants showed excitement about collaborating with AI, many of them also expressed reluctance and pointed out nuanced reasons. Based on their responses, we first characterize stages and tasks in the practical data storytelling workflows and the desired roles of AI. Then the preferred collaboration patterns in different tasks are identified. Next, we summarize the interviewees' reasons why and why not they would like to collaborate with AI. Finally, we provide suggestions for human-AI collaborative data storytelling to hopefully shed light on future related research.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
