这篇论文告诉你，在电子表格里用计划模式（Plan Mode）能少改几遍代码，协作感还能变好。不是玄学，是有24人验证过的。
这篇论文构建了一个用于电子表格编程的计划模式原型，并通过24名被试的组内用户研究，将其与无计划基线对比。研究发现，尽管任务结果相似，但使用计划模式减少了用户的调整次数（refinement），并在创造力支持和人机协作维度上获得了更好的工具感知。研究为计划模式在最终用户编程中的设计提供了启示。
Plans Work in Mysterious Ways: Evaluating a Plan Mode for Spreadsheet Agents
Plan Modes have become standard features in agentic programming tools, allowing users to gain transparency and control by working with the agent to develop a plan before task execution. However, it remains unclear whether the benefits of this feature translate to end-user programming environments such as spreadsheets. Since spreadsheet programmers tend to work iteratively and care less about technical correctness, upfront planning may not fit into their workflows as easily. In this paper, we build a prototype of a Plan Mode for spreadsheet programming and evaluate it against a non-planning baseline through a within-subjects user study (N=24). We found that despite similar task outcomes with both tools, using Plan Mode led to a reduction in refinement and a better perception of the tool across dimensions of creativity support and human-machine collaboration. We discuss the implications of these results for the future design of Plan Modes, and for the broader role of human-AI planning in end-user programming.