Analyzing MoLIC's Applicability to Model the interaction of Conversational Agents - A case study on ANA Chatbot.

Intelligent conversational agents, such as chatbots, are becoming increasingly popular in different domains of use. The use of this kind of technology offers challenges and opportunities for the Human-Computer Interaction (HCI) area, because it is based on natural language conversations, and it can present different degrees of intelligence and autonomy. One of these challenges is to investigate whether the existing design techniques are adequate to model this kind of agent. Semiotic Engineering relies on MoLIC, which is a tool used in the design phase to model interaction and communication between a system and its users. Therefore, a raised question is whether MoLIC would be able to model conversational agents. In this sense, the goal of this work is to present the emerging results of a research that seeks to analyze the MoLIC's applicability to model the interaction of conversational agents, through a case study on Chatbot ANA. The results show that MoLIC can model the conversation, according to some adaptations and that some points can be extended in the tool. The contributions of this study focus on (1) broadening the knowledge of the HCI community about the MoLIC's applicability to model this kind of technology and (2) directing the IHC community towards new initiatives that aim to adapt MoLIC to model conversational agents.