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

Artificial intelligence (AI) and extended reality (XR) differ in their origin and primary objectives.

Overview

Authors: Dirk Reiners, Mohammad Reza Davahli, Waldemar Karwowsk, Carolina Cruz-Neira

Publication Date: 7 September 2021

Link: https://www.frontiersin.org/journals/virtual-reality/articles/10.3389/frvir.2021.721933/full

Keywords: Artificial intelligence, extended reality, learning environment, autonomous cars, robotics

Type: Peer-Reviewed Journals/White Papers

Summary

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.