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|a 10.1109/TVCG.2022.3201120
|2 doi
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|a eng
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| 100 |
1 |
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|a Butaslac, Isidro Iii Mendoza
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Systematic Review of Augmented Reality Training Systems
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|c 2023
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|a Text
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Revised 22.11.2023
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a Recent augmented reality (AR) advancements have enabled the development of effective training systems, especially in the medical, rehabilitation, and industrial fields. However, it is unclear from the literature what the intrinsic value of AR to training is and how it differs across multiple application fields. In this work, we gathered and reviewed the prototypes and applications geared towards training the intended user's knowledge, skills, and abilities. Specifically, from IEEE Xplore plus other digital libraries, we collected 64 research papers present in high-impact publications about augmented reality training systems (ARTS). All 64 papers were then categorized according to the training method used, and each paper's evaluations were identified by validity. The summary of the results shows trends in the training methods and evaluations that incorporate ARTS in each field. The narrative synthesis illustrates the different implementations of AR for each of the training methods. In addition, examples of the different evaluation types of the current ARTS are described for each of the aforementioned training methods. We also investigated the different training strategies used by the prevailing ARTS. The insights gleaned from this review can suggest standards for designing ARTS regarding training strategy, and recommendations are provided for the implementation and evaluation of future ARTS
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| 650 |
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|a Journal Article
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| 700 |
1 |
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|a Fujimoto, Yuichiro
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Sawabe, Taishi
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Kanbara, Masayuki
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Kato, Hirokazu
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on visualization and computer graphics
|d 1996
|g 29(2023), 12 vom: 24. Dez., Seite 5062-5082
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|x 1941-0506
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|g volume:29
|g year:2023
|g number:12
|g day:24
|g month:12
|g pages:5062-5082
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| 856 |
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|u http://dx.doi.org/10.1109/TVCG.2022.3201120
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