Knowledge workers frequently encounter repetitive web data entry tasks, like updating records or placing orders. Web automation increases productivity, but translating tasks to web actions accurately and extending to new specifications is challenging. Existing tools can automate tasks that perform the same logical trace of UI actions (e.g., input text in each field in order), but do not support tasks requiring different executions based on varied input conditions. We present DiLogics, a programming-by-demonstration system that utilizes NLP to assist users in creating web automation programs that handle diverse specifications. DiLogics first semantically segments input data to structured task steps. By recording user demonstrations for each step, DiLogics generalizes the web macros to novel but semantically similar task requirements. Our evaluation showed that non-experts can effectively use DiLogics to create automation programs that fulfill diverse input instructions. DiLogics provides an efficient, intuitive, and expressive method for developing web automation programs satisfying diverse specifications.

DiLogics是一种可以利用自然语言处理（NLP）辅助用户创建处理各种规范的Web自动化程序的演示编程系统，它通过将输入数据语义分段为结构化任务步骤，并记录用户演示来泛化Web宏以满足新的但语义相似的任务需求。我们的评估表明，非专业人士可以有效地使用DiLogics创建满足多样输入指令的自动化程序。DiLogics提供了一种高效、直观和富有表现力的方法来开发满足不同规范的Web自动化程序。

DiLogics: 利用多种逻辑创建网络自动化程序