Systematic Review of Virtual Reality Solutions Employing Artificial Intelligence Methods

• Taina Ribeiro de Oliveira Instituto Federal do Espírito Santo - IFES
• Matheus Moura da Silva Instituto Federal do Espírito Santo - IFES
• Rafael Antonio Nepomuceno Spinasse Instituto Federal do Espírito Santo - IFES
• Gabriel Giesen Ludke Instituto Federal do Espírito Santo - IFES
• Mateus Ruy Soares Gaudio Instituto Federal do Espírito Santo - IFES
• Guilherme Iglesias Rocha Gomes Instituto Federal do Espírito Santo - IFES
• Luan Guio Cotini Instituto Federal do Espírito Santo - IFES
• Daniel Vargens Instituto Federal do Espírito Santo - IFES
• Marcelo Queiroz Schimidt Instituto Federal do Espírito Santo - IFES
• Rodrigo Varejao Andreao Instituto Federal do Espírito Santo - IFES
• Mario Mestria Instituto Federal do Espírito Santo - IFES

Resumo

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.

Palavras-chave: Intelligent virtual environments, Literature review, Virtual reality, Artificial intelligence, Industry 4.0