NaVISOL: desenvolvimento de um chatbot com sistema de recomendação para o mapa digital da cidade de Sobral

Abstract

The growing public demand for fast, clear, and efficient access to public services and information, especially in urban contexts increasingly dependent on digital technologies, makes the development of solutions that facilitate citizen interaction with complex databases, such as Geographic Information Systems (GIS), essential. The availability of large volumes of information on interactive mapping platforms, although promising, still faces usability limitations, often resulting in navigation difficulties, cognitive overload, and underutilization of available resources. In this context, this work proposes the development of the Navegador Virtual Inteligente de Sobral (NaVISOL), a conversational agent based on Artificial Intelligence (AI) and Natural Language Processing (NLP), implemented using the Rasa framework and integrated into the Sobral em Mapas platform, with the objective of enabling a more accessible interface for querying and exploring geospatial data. The system incorporates a hybrid recommendation engine that combines conversational context, implicit user navigation feedback, and Singular Value Decomposition (SVD) techniques for similarity analysis among map layers, mitigating data sparsity issues and promoting proactive discovery of relevant content. To evaluate the effectiveness of the solution, quantitative analyses were conducted based on the usage incidence metric of the recommendations, as well as a qualitative assessment of user experience through questionnaires addressing usability aspects, response comprehension, and perceived relevance of the provided suggestions. The results indicate that the adoption of the conversational interface associated with the recommendation system contributes to a more intuitive interaction with GIS, increases access to recommended layers, and fosters the discovery of new geographic content, demonstrating the potential of NaVISOL as a tool to democratize access to urban information and strengthen citizen-centered digital government initiatives.