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.

翻译：数据叙述在数据工作者的日常工作中扮演着重要角色，因为它促进了团队协作和公共交流。然而，为了创作出引人入胜的数据叙述，数据工作者在包括构思和风格设计等各项任务上投入了大量的精力。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）辅助数据叙述。然而，现有研究可能侧重于数据叙述工作流程中的个别任务，并未揭示人类与人工智能协作偏好的全貌。为了更好地理解实际需求，我们访谈了来自产业界和学术界的十八位数据工作者，了解他们在哪些环节以及如何愿意与AI协作。令人惊讶的是，尽管参与者对与AI协作表现出兴奋，但许多人同时也表达了犹豫，并指出了细微的原因。基于他们的回应，我们首先描述了实际数据叙述工作流程中的阶段和任务，以及AI的理想角色。然后，识别了不同任务中偏好的协作模式。接着，我们总结了受访者愿意或不愿意与AI协作的原因。最后，我们提出了关于人机协作数据叙述的建议，希望为未来的相关研究提供启示。