测试了计划模式在电子表格中的效果，发现它能提升用户协作感和创造力体验。
Plans Work in Mysterious Ways: Evaluating a Plan Mode for Spreadsheet Agents
- 构建电子表格计划模式原型，让用户先规划再执行
- 24人实验显示计划模式减少修改次数，提升工具感知体验
- 适合重视人机协作与创意表达的非专业编程用户
计划模式已成为智能编程工具的标准功能，使用户通过与代理共同制定计划来获得透明度与控制力。然而，这种功能在电子表格等终端用户编程环境中的有效性尚不明确。由于电子表格程序员通常采用迭代式工作方式，且对技术正确性要求较低，前期规划可能难以融入其流程。本文构建了一个电子表格计划模式原型，并通过24名参与者的自身对照实验，与无计划基线进行对比。结果显示，尽管任务完成结果相似，使用计划模式显著减少了修正次数，并在创造力支持与人机协作感知维度上表现更优。研究讨论了该结果对计划模式未来设计及人机协同规划在终端用户编程中角色的影响。
原文摘要 · Abstract (English)
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.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。