Systematic Review of Virtual Reality Solutions Employing Artificial Intelligence Methods
Tainã Ribeiro de Oliveira, Matheus Moura da Silva, Rafael Antonio Nepomuceno Spinasse, Gabriel Giesen Ludke, Mateus Ruy Soares Gaudio, Guilherme Iglesias Rocha Gomes, Luan Guio Cotini, Daniel da Silva Vargens, Marcelo Queiroz Schimidt, Rodrigo Varejão Andreão, Mário Mestria · 2021
This paper first presents a systematic literature review of artificial intelligence (AI) methods used in virtual reality (VR) solutions. Based on the systematic literature review, a methodology for locating existing studies, selecting and evaluating contributions, performing analyses, and synthesizing data was proposed. We used search engines, such as Google Scholar and databases such as Elsevier's Scopus, ACM Digital Library, and IEEE Xplore Digital Library. A set of inclusion and exclusion criteria was used to select documents. The results showed that the AI scientific technique most applied in VR applications is machine learning. The findings revealed several fields adopting real-world applications that employ AI in VR: human–robot interaction, emotion interaction and behavior recognition, education, agriculture, transport, manufacturing, and health.