A Survey on Remote Assistance and Training in Mixed Reality Environments

被引:13
|
作者
Fidalgo, Catarina G. G. [1 ,2 ]
Yan, Yukang [2 ]
Cho, Hyunsung [2 ]
Sousa, Mauricio [3 ]
Lindlbauer, David [2 ]
Jorge, Joaquim [4 ,5 ]
机构
[1] Univ Lisbon, INESC ID, Inst Super Tecn, Lisbon, Portugal
[2] Carnegie Mellon Univ, Pittsburgh, PA USA
[3] Univ Toronto, Toronto, ON, Canada
[4] INESC ID, Lisbon, Portugal
[5] Univ Lisbon, Inst Super Tecn, Lisbon, Portugal
基金
美国安德鲁·梅隆基金会;
关键词
Training; Virtual reality; Collaboration; Mixed reality; Task analysis; Maintenance engineering; Visualization; Mixed Reality; Virtual Reality; Augmented Reality; Extended Reality; Remote; Assistance; AUGMENTED REALITY; COLLABORATION; DESIGN; SYSTEM; USER;
D O I
10.1109/TVCG.2023.3247081
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The recent pandemic, war, and oil crises have caused many to reconsider their need to travel for education, training, and meetings. Providing assistance and training remotely has thus gained importance for many applications, from industrial maintenance to surgical telemonitoring. Current solutions such as video conferencing platforms lack essential communication cues such as spatial referencing, which negatively impacts both time completion and task performance. Mixed Reality (MR) offers opportunities to improve remote assistance and training, as it opens the way to increased spatial clarity and large interaction space. We contribute a survey of remote assistance and training in MR environments through a systematic literature review to provide a deeper understanding of current approaches, benefits and challenges. We analyze 62 articles and contextualize our findings along a taxonomy based on degree of collaboration, perspective sharing, MR space symmetry, time, input and output modality, visual display, and application domain. We identify the main gaps and opportunities in this research area, such as exploring collaboration scenarios beyond one-expert-to-one-trainee, enabling users to move across the reality-virtuality spectrum during a task, or exploring advanced interaction techniques that resort to hand or eye tracking. Our survey informs and helps researchers in different domains, including maintenance, medicine, engineering, or education, build and evaluate novel MR approaches to remote training and assistance. All supplemental materials are available at https://augmented-perception.org/publications/2023-training-survey.html.
引用
收藏
页码:2291 / 2303
页数:13
相关论文
共 50 条
  • [31] Presence and interaction in mixed reality environments
    Arjan Egges
    George Papagiannakis
    Nadia Magnenat-Thalmann
    The Visual Computer, 2007, 23 : 317 - 333
  • [32] Virtual and mixed reality intelligent environments
    Gardner, Michael
    Richter, Jonathon
    Harma, Aki
    JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS, 2012, 4 (01) : 3 - 4
  • [33] Mixed reality applications in urban environments
    Bulman, J
    Crabtree, B
    Gower, A
    Oldroyd, A
    Lawson, M
    Sutton, J
    BT TECHNOLOGY JOURNAL, 2004, 22 (03) : 84 - 94
  • [34] Remote HRI and Mixed Reality, an Ontology
    Carolina Cani, D. L.
    Breyer, Felipe B.
    Kelner, Judith
    DESIGN, USER EXPERIENCE, AND USABILITY: TECHNOLOGICAL CONTEXTS, PT III, 2016, 9748 : 249 - 257
  • [35] Health-5G: A Mixed Reality-Based System for Remote Medical Assistance in Emergency Situations
    Garcia, Francisco M.
    Moraleda, Ruben
    Schez-Sobrino, Santiago
    Monekosso, Dorothy N.
    Vallejo, David
    Glez-Morcillo, Carlos
    IEEE ACCESS, 2023, 11 : 59016 - 59032
  • [36] Developing serious games for CBRN-e training in mixed reality, virtual reality, and computer-based environments
    Altan, Burak
    Gurer, Servet
    Alsamarei, Ali
    Demir, Damla Kivilcim
    Duzgun, H. Sebnem
    Erkayaoglu, Mustafa
    Surer, Elif
    INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2022, 77
  • [37] CPR Emergency Assistance Through Mixed Reality Communication
    Rebol, Manuel
    Steinmaurer, Alexander
    Gamillscheg, Florian
    Pietroszek, Krzysztof
    Gult, Christian
    Ranniger, Claudia
    Hood, Colton
    Rutenberg, Adam
    Sikka, Neal
    AUGMENTED INTELLIGENCE AND INTELLIGENT TUTORING SYSTEMS, ITS 2023, 2023, 13891 : 415 - 429
  • [38] Mixed Reality Teleoperation Assistance for Direct Control of Humanoids
    Penco, Luigi
    Momose, Kazuhiko
    McCrory, Stephen
    Anderson, Dexton
    Kitchel, Nicholas
    Calvert, Duncan
    Griffin, Robert J.
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 9 (02) : 1937 - 1944
  • [39] PROCEDURAL TARGETING ASSISTANCE AND VISUALIZATION WITH MIXED REALITY HEADSETS
    Lampotang, Samsun
    Dodds, Andrew
    Samouce, Christopher
    Lizdas, David
    Johnson, Perry
    Ihnatsenka, Barys
    Luria, Isaac
    Lampotang, Samsun
    ANESTHESIA AND ANALGESIA, 2024, 138
  • [40] Stereo vision based mixed reality: an assistance for teleoperation
    Maman, D
    Nashashibi, F
    Fuchs, P
    Bordas, JC
    TELEMANIPULATOR AND TELEPRESENCE TECHNOLOGIES V, 1998, 3524 : 80 - 91