The Combination of Artificial Intelligence and Extended Reality: A Systematic Review

被引:22
|
作者
Reiners, Dirk [1 ]
Davahli, Mohammad Reza [2 ]
Karwowski, Waldemar [2 ]
Cruz-Neira, Carolina [1 ]
机构
[1] Univ Cent Florida, Dept Comp Sci, Orlando, FL USA
[2] Univ Cent Florida, Dept Ind Engn & Management Syst, Orlando, FL 32816 USA
来源
关键词
artificial intelligence; extended reality; learning environment; autonomous cars; robotics; VIRTUAL-REALITY; SIMULATION; DIAGNOSIS; METRICS; GAME;
D O I
10.3389/frvir.2021.721933
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Artificial intelligence (AI) and extended reality (XR) differ in their origin and primary objectives. However, their combination is emerging as a powerful tool for addressing prominent AI and XR challenges and opportunities for cross-development. To investigate the AI-XR combination, we mapped and analyzed published articles through a multi-stage screening strategy. We identified the main applications of the AI-XR combination, including autonomous cars, robotics, military, medical training, cancer diagnosis, entertainment, and gaming applications, advanced visualization methods, smart homes, affective computing, and driver education and training. In addition, we found that the primary motivation for developing the AI-XR applications include 1) training AI, 2) conferring intelligence on XR, and 3) interpreting XR- generated data. Finally, our results highlight the advancements and future perspectives of the AI-XR combination.
引用
收藏
页数:13
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