DEVELOPMENT OF A METHOD FOR DETERMINING THE EMOTIONAL STATE OF A PERSON USING A CHAT BOT

Abstract

Currently, dialogue systems (chatbots) are being intensively used in almost all areas of activity, and it is worth noting that these mechanisms have begun to be used not only in the entertainment sector, but also in more important areas - business or even medicine. In this regard, there is a need to develop and improve the communication system of such robots in natural language. This article proposes a method for determining a person’s emotional state using a chatbot. The article defines a chatbot, discusses the types of chatbots, and defines the basic principles of their work. Based on the identified differences in the operation of algorithms for text detection by chatbots, the most suitable technology for solving the task is described - working with neural networks. The shortcomings of existing solutions in comparison with the method being developed are identified and described. It is important to note that the peculiarity of the method is the combination of technologies of intelligent chatbots and augmented reality. The article describes the general algorithm of the method for determining the emotional state of a person using a chatbot, which includes eight main stages. The developed and identified criteria for assessing emotions are described: valence, intensity and sthenicity. The architecture of the developed solution, which has a client-server approach, is presented. The server part also includes a text sentiment detection module and a response generation module, while the client includes the chat and the appearance of the “Avatar” of the developed chatbot. The main implementation steps are described, including the initial interface, as well as the stages of developing an augmented reality application. The article lists the tools used for working with augmented reality (Unity 3D and the AR Vuforia framework). The created 3D models are presented. The results of processing skeletal animation using Perception Neuron 3 equipment and subsequent processing in Axis Studio are shown. Based on the results of the work, a conclusion was formulated describing the qualitative difference of the developed system in relation to the existing analogues considered, and the results of testing the operation of the system were also presented.