Uma arquitetura para integração de dispositivos e coleta de dados em jogos sérios multimodais

Detalhes bibliográficos
Ano de defesa: 2023
Autor(a) principal: Zacca, Flavio Augusto Glapinski lattes
Orientador(a): Carvalho, Sérgio Teixeira de lattes
Banca de defesa: Carvalho, Sérgio Teixeira De, Silvestre, Bruno Oliveira, Copetti, Alessandro, Zacca
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Goiás
Programa de Pós-Graduação: Programa de Pós-graduação em Ciência da Computação (INF)
Departamento: Instituto de Informática - INF (RMG)
País: Brasil
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/13127
Resumo: This dissertation addresses the development of an architecture for integrating devices and collecting data in multimodal serious games. However, integrating devices and collecting data in multimodal serious games present technical and scientific challenges to overcome. The research problem consists of identifying and analyzing difficulties in sharing information among heterogeneous devices, the absence of common communication protocols, limitations in utilizing data in other applications, and the need for an architecture enabling the collection, filtering, processing, and provisioning of treated data for serious games. The general objective of the research is to develop a solution allowing the integration of devices and data collection in multimodal serious games, aiming for efficient and transparent provisioning of treated data. The research is grounded in theoretical studies, analysis of related works, requirements gathering, and the implementation of this architecture. The research includes theoretical studies, analysis of related works, requirements gathering, and the implementation of this architecture. Practical studies and experiments were conducted to assess the efficiency and viability of the proposed architecture, using multimodal games developed by the research group, such as Salus Cyber Ludens and Cicloexergame, as use cases. The obtained results demonstrated the effectiveness of the architecture in handling and leveraging data from devices, contributing to the advancement of the field of multimodal serious games. In conclusion, the proposed architecture represents a promising solution for integrating devices and collecting data in multimodal serious games. Its application can benefit areas such as health, education, and industry, expanding interaction possibilities and promoting advancements in the field of multimodal serious games.