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

被引:34
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
FRONTIERS IN VIRTUAL REALITY | 2021年 / 2卷
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
相关论文
共 62 条
  • [1] Learning Robust Control Policies for End-to-End Autonomous Driving From Data-Driven Simulation
    Amini, Alexander
    Gilitschenski, Igor
    Phillips, Jacob
    Moseyko, Julia
    Banerjee, Rohan
    Karaman, Sertac
    Rus, Daniela
    [J]. IEEE ROBOTICS AND AUTOMATION LETTERS, 2020, 5 (02) : 1143 - 1150
  • [2] Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
    Bejnordi, Babak Ehteshami
    Veta, Mitko
    van Diest, Paul Johannes
    van Ginneken, Bram
    Karssemeijer, Nico
    Litjens, Geert
    van der Laak, Jeroen A. W. M.
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2017, 318 (22): : 2199 - 2210
  • [3] Hybrid simulation system for testing artificial intelligence algorithms used in smart homes
    Bicakci, Sabri
    Gunes, Huseyin
    [J]. SIMULATION MODELLING PRACTICE AND THEORY, 2020, 102 (102)
  • [4] Artificial Intelligence Distinguishes Surgical Training Levels in a Virtual Reality Spinal Task
    Bissonnette, Vincent
    Mirchi, Nykan
    Ledwos, Nicole
    Alsidieri, Ghusn
    Winkler-Schwartz, Alexander
    Del Maestro, Rolando F.
    Yilmaz, Recai
    Siyar, Samaneh
    Azarnoush, Hamed
    Karlik, Bekir
    Sawaya, Robin
    Alotaibi, Fahad E.
    Bugdadi, Abdulgadir
    Bajunaid, Khalid
    Ouellet, Jean
    Berry, Greg
    [J]. JOURNAL OF BONE AND JOINT SURGERY-AMERICAN VOLUME, 2019, 101 (23)
  • [5] Bousmalis K, 2018, IEEE INT CONF ROBOT, P4243
  • [6] Augmented Reality in education-cases, places and potentials
    Bower, Matt
    Howe, Cathie
    McCredie, Nerida
    Robinson, Austin
    Grover, David
    [J]. EDUCATIONAL MEDIA INTERNATIONAL, 2014, 51 (01) : 1 - 15
  • [7] VanHorn KC, 2019, Arxiv, DOI arXiv:1906.05925
  • [8] Caudell Thomas P., 2003, Anatomical Record, V270B, P23, DOI 10.1002/ar.b.10007
  • [9] High-level interpretation in virtual environments
    Cavazza, M
    Palmer, I
    [J]. APPLIED ARTIFICIAL INTELLIGENCE, 2000, 14 (01) : 125 - 144
  • [10] An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis
    Chen, Po-Hsuan Cameron
    Gadepalli, Krishna
    MacDonald, Robert
    Liu, Yun
    Kadowaki, Shiro
    Nagpal, Kunal
    Kohlberger, Timo
    Dean, Jeffrey
    Corrado, Greg S.
    Hipp, Jason D.
    Mermel, Craig H.
    Stumpe, Martin C.
    [J]. NATURE MEDICINE, 2019, 25 (09) : 1453 - +