Chatbot Integration with Google Dialogflow Environment for Conversational Intervention

Abstract

Chatbots are computer programs that execute protocols for supporting human-machine conversations and perform various functions such as searching in the web, ordering food, making appointments, and many more. To facilitate timely responses and actions, and also enable interactive human-like conversations, chatbots use Natural Language Processing (NLP) to understand user’s messages and respond appropriately. NLP is an area of computer science and artificial intelligence that interprets the interactions between computers and human languages. Google Dialogflow is a chatbot development platform example that provides NLP and other supporting tools and third-party interfaces. Many chatbot applications are developed for short-term conversations, but in order to assist medical applications, we need a long-spread conversation. DashMessaging is a smart chatbot platform that enables the creation of chatbots for long-spread conversations, so we try to mimic this long-spread conversation with the frame-based platforms such as Google Dialogflow. In this paper, we explore the feasibility and challenges of using these tools by a DashMessaging chatbot development platform.