AI 中文总结
针对BPMN标准难以表示动态对话式AI交互的问题，研究人员采用设计科学研究方法开发了BPMN4CAI扩展，经案例验证其可提升业务流程内对话式AI的决策、上下文管理与交互透明性。
AI 中文摘要
对话式人工智能系统（如聊天机器人和虚拟助手）对数字业务流程的重要性日益提升。然而，已确立的业务流程模型与符号（BPMN）标准在表示动态、依赖上下文的交互方面面临挑战。本文通过开发符合标准的BPMN扩展（BPMN4CAI）来解决这一方法论和实践研究缺口。本文采用设计科学研究方法，开发了一种系统扩展现有BPMN元素并纳入专用组件的方法。通过案例研究对BPMN4CAI框架的适用性和相关性进行了验证与评估。结果表明，BPMN4CAI扩展可促进业务流程内对话式人工智能的自适应决策流程、稳健的上下文管理以及透明的交互。
英文摘要
Conversational AI systems, such as chatbots and virtual assistants, are becoming increasingly important to digital business processes. However, the established Business Process Model and Notation (BPMN) standard faces challenges when representing dynamic, context-sensitive interactions. This paper addresses this methodological and practical research gap by developing a standard-compliant BPMN extension (BPMN4CAI). Using Design Science Research methodology, this paper develops an approach that systematically extends existing BPMN elements and incorporates specialized components. The applicability and relevance of the BPMN4CAI framework are demonstrated and evaluated through a case study. The results show that the BPMN4CAI extension facilitates adaptive decision-making processes, robust context management, and transparent interactions for Conversational AI within business processes.
CommentsPresented at the 20th International Conference on Wirtschaftsinformatik (WI 2025), September 2025, Münster, Germany
