UCF VARLab - The Combination of Artificial Intelligence and Extended

Journal article

D. Reiners, Mohammad Reza Davahli, W. Karwowski, C. Cruz-Neira
Frontiers in Virtual Reality, 2021

Cite

APA Click to copy
Reiners, D., Davahli, M. R., Karwowski, W., & Cruz-Neira, C. (2021). The Combination of Artificial Intelligence and Extended Reality: A Systematic Review. Frontiers in Virtual Reality.

Chicago/Turabian Click to copy
Reiners, D., Mohammad Reza Davahli, W. Karwowski, and C. Cruz-Neira. “The Combination of Artificial Intelligence and Extended Reality: A Systematic Review.” Frontiers in Virtual Reality (2021).

MLA Click to copy
Reiners, D., et al. “The Combination of Artificial Intelligence and Extended Reality: A Systematic Review.” Frontiers in Virtual Reality, 2021.

BibTeX Click to copy

@article{d2021a,
  title = {The Combination of Artificial Intelligence and Extended Reality: A Systematic Review},
  year = {2021},
  journal = {Frontiers in Virtual Reality},
  author = {Reiners, D. and Davahli, Mohammad Reza and Karwowski, W. and Cruz-Neira, C.}
}

Abstract

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.