Visual Chatbot for Knowledge Transfer

This paper proposes an approach to design a visual chatbot to enhance the virtual knowledge sharing process. Existing chatbots are either textual or vocal whose performance has not exceeded 60%. However, in various fields a textual description is no longer sufficient, and it is so essential for users to exchange images to better express their preferences. This prevents them from individually describing the image content and transmitting it in writing, which is not always obvious. This work developed a preliminary version of a visual chatbot called SIRSBot (Smart Information Retrieval System roBot). The objective of this paper is to make experiments to identify the main challenges which may face visual information identification. The role of the visual chatbot is (1) to understand the user request, (2) to extract the characteristics of each object in the image that ultimately represent the user's preferences and finally (3) to find a response that meets the user's needs.