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

Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain

“…Other chatbots collect information about people's diet [44] or provide restaurants with a tool to collect allergy information based on users' allergens [45]. Chatbots in education support the teaching of a variety of subjects, as English [46], Medicine [42], and business process models [47]. Some chatbots are also able to answer university-related questions that are typically found in FAQs [48].…”

Artificial Intelligence-Enabled Chatbots in Mental Health: A Systematic Review

“…A user initiates the process by posing a query to a chatbot, such as "What is the definition of environment?" using a messaging platform like WhatsApp, Facebook, or a text or voice-input application like Amazon Echo [37].…”

A Structural Framework for Assessing the Digital Resilience of Enterprises in the Context of the Technological Revolution 4.0

“…Companies using the right tools can significantly increase business efficiency [65]. By using chatbot interfaces built into any messaging app, organizations can interact flexibly with customers (as a human would) at any time of the day or week and are not limited by time or physical location, so the costs are negligible [66].…”

“…(2) remote working (RW); (3) cloud migration (CM); (4) digital transformation investments (DX); (5) digital adaptation (DA); (6) digital acceleration (DC); (7) digital core investments (DO); (8) digital innovation investments (DI); and (9) digital resilience (DR) (Table 1). The company uses tools for interaction through the website, e-commerce, and m-commerce DX1 [64] The company uses mobile applications in business processes-Apps DX2 [67,68] The company uses social networks in the digital transformation of business-Social media DX3 [65] The company uses conversational interfaces-Chatbots DX4 [66] Digital adaptation (DA)…”