aCHAT-WF: Generating conversational agents for teaching business process models

Abstract This paper proposes a general approach for using conversational interfaces such as chatbots to offer adaptive learning of business processes in an environment involving different actors. Adaptivity concerns both the content being proposed, sequence items, and way conversation is conducted. The original allows development sustainable empowers various non-technical actors (authors, teachers, publishers, learners) control chatbot features directly. aCHAT-WF framework (adaptive CHATbot WorkFlows), proposed this managing interfaces, conceptually represents all aspects related about processes, with facets user, flow, contents, combining them obtain flexible interaction user. focuses on preparation phases instructional material based Business Process Modeling Notation (BPMN) models, separating roles involved construction teaching possibility defining styles users. method configuration-driven, facilitate separation delivery contents.