Safer museum guide interaction during a pandemic and further Using NLP in human interactive museum visits : Museum guide Chatbot
Laura Ceuca, Ana Rednic, Emil Chifu · 2021
This paper introduces an NLP based solution for conversational agents in art exhibits. The conversational techniques (text-to-speech and speech-to-text) applied on chatbots are an important issue according to the user needs in different environments, art domains, and regions. The NLP agent is trained on relevant data by matching questions that are partially similar or contain only keywords from the knowledge base, assuring an understanding of a broader spectrum of questions. This paper proposes the theoretical background, the solution implementation, running scenarios, and experimental results as well. The application can be implemented in any kind of exhibition, as long as the knowledge base is adapted to the exhibits in focus.