搜索还是生成？探索编程中生成式 AI 与网络搜索的协同作用
To Search or To Gen? Exploring the Synergy between Generative AI and Web Search in Programming
AI总结：
针对生成式 AI 与网络搜索常被程序员视为替代工具的问题，本文通过访谈八名经验丰富的程序员，识别挑战并提出决策阶段与综合过程模型，以揭示二者协同机制。
摘要：
生成式 AI 与网络搜索的融合正在重塑程序员解决问题的方式。然而，由于对二者在信息搜寻过程中的相互作用缺乏理解，程序员往往将其视为彼此替代的工具，而非互补工具。为分析这种交互并探索其协同作用，我们对八名经验丰富的程序员开展了一项访谈研究。基于研究结果和相关文献，我们识别出三大挑战，并提出三个决策阶段，每个阶段都有其相关因素。此外，我们提出了一个综合过程模型，用于刻画程序员的交互模式。该模型涵盖决策阶段、信息觅食循环以及系统交互过程中的认知活动，为理解和优化这些融合工具在编程中的使用提供了一个整体框架。
英文摘要：
The convergence of generative AI and web search is reshaping problem-solving for programmers. However, the lack of understanding regarding their interplay in the information-seeking process often leads programmers to perceive them as alternatives rather than complementary tools. To analyze this interaction and explore their synergy, we conducted an interview study with eight experienced programmers. Drawing from the results and literature, we have identified three major challenges and proposed three decision-making stages, each with its own relevant factors. Additionally, we present a comprehensive process model that captures programmers' interaction patterns. This model encompasses decision-making stages, the information-foraging loop, and cognitive activities during system interaction, offering a holistic framework to comprehend and optimize the use of these convergent tools in programming.
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。
