Exploring augmented reality for worker assistance versus training

Moghaddam, Mohsen; Wilson, Nigel H. M.; Modestino, Alicia Sasser; Jona, Kemi; Marsella, Stacy

doi:10.1016/j.aei.2021.101410

Cited by 37 publications

(14 citation statements)

References 50 publications

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“…The full texts of 83 papers assessed for eligibility were carefully analyzed. Thirteen articles [ 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 ] were excluded due to the exclusion criteria (1), one contribution [ 29 ] due to the exclusion criteria (2), 17 scientific results [ 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 ] due to the exclusion criteria (3) and 5 [ 47 , 48 , 49 , 50 , 51 ] contributions due to the exclusion criteria (4). Finally, only 47 studies were included in the quantitative synthesis.…”

Section: Methodsmentioning

confidence: 99%

Microsoft HoloLens 2 in Medical and Healthcare Context: State of the Art and Future Prospects

Palumbo

2022

Sensors

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In the world reference context, although virtual reality, augmented reality and mixed reality have been emerging methodologies for several years, only today technological and scientific advances have made them suitable to revolutionize clinical care and medical contexts through the provision of enhanced functionalities and improved health services. This systematic review provides the state-of-the-art applications of the Microsoft® HoloLens 2 in a medical and healthcare context. Focusing on the potential that this technology has in providing digitally supported clinical care, also but not only in relation to the COVID-19 pandemic, studies that proved the applicability and feasibility of HoloLens 2 in a medical and healthcare scenario were considered. The review presents a thorough examination of the different studies conducted since 2019, focusing on HoloLens 2 medical sub-field applications, device functionalities provided to users, software/platform/framework used, as well as the study validation. The results provided in this paper could highlight the potential and limitations of the HoloLens 2-based innovative solutions and bring focus to emerging research topics, such as telemedicine, remote control and motor rehabilitation.

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Section: Methodsmentioning

confidence: 99%

Microsoft HoloLens 2 in Medical and Healthcare Context: State of the Art and Future Prospects

Palumbo

2022

Sensors

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“…Finally, the role of AR in task coordination emerges as a technological solution that offers enhanced capabilities to synchronise, direct and align complex processes within the industrial environment. Serván et al [39] developed an assembly instruction communication system using AR, while Moghaddam et al [68] explored AR for worker assistance and training, emphasising its potential in improving task coordination and efficiency. Furthermore, Angelopoulos and Mourtzis [75] presented an AR assistance system for the adaptive maintenance of on-demand manufactured machinery.…”

Section: Ar Virtual Operation Guidementioning

confidence: 99%

“…Webel et al [40] developed an AR training platform for assembly and maintenance skills, providing immersive lab-based training systems to guide students through industrial maintenance tasks. Meanwhile, Moghaddam et al [68] investigated the potential of AR for training workers by recreating industrial environments and superimposing images as a teaching tool, thus bringing hands-on experience into the classroom. Following this line of enquiry, the study by Samala et al [95] provided a mobile AR application that simulates the CNC machining process, facilitating interactive learning and skill development in a safe and controlled environment.…”

Section: Ar Immersive Learningmentioning

confidence: 99%

Impact of Augmented Reality on Assistance and Training in Industry 4.0: Qualitative Evaluation and Meta-Analysis

Morales Méndez,

del Cerro Velázquez

2024

Applied Sciences

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In the context of Industry 4.0, industrial environments are at a crossroads, facing the challenge of greater flexibility and significant technical skills gaps. In this situs, Augmented Reality (AR) emerges as a transformative tool, enhancing the synergy between technical staff and emerging technologies. This article focuses on exploring the integration of AR in Industry 4.0, with a particular emphasis on its role in improving technical assistance and training. The research addresses the ways in which AR not only facilitates more efficient processes but also acts as an essential bridge for training and skills development in constantly changing technological environments. It investigates the significant impact of AR on both optimising work processes and training workers to meet the emerging challenges of Industry 4.0. Through a qualitative analysis, the studies are categorised according to their application domains, grouping them into specific thematic areas. Subsequently, a meta-analysis is conducted to determine the actual impact of AR in the sector. The findings reveal a positive and significant correlation between the implementation of AR and its effectiveness in assistance and training in the framework of Industry 4.0. Finally, the article delves into an analysis of current limitations and challenges, providing insights into possible developments and trends in the use of AR for assistance and training in Industry 4.0.

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“…Augmented reality for augmented intelligence. A next step in blurring the lines between working and learning are active intelligence augmentation, such as augmented reality overlays (Moghaddam et al, 2021;Quandt et al,2018;Wild, 2016). For example, an aircraft mechanic wearing augmented reality glasses seeing labels for parts and instructions on part replacement.…”

Section: Learning In the Intelligence Augmentation Economymentioning

confidence: 99%

What Does an Emerging Intelligence Augmentation Economy Mean for HF/E? Can Learning Engineering Help?

Goodell¹,

Craig

2022

Proceedings of the Human Factors and Ergonomics Society Annual

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The emergence of an intelligence augmentation economy will fundamentally change the nature of work and what people need to learn and do to be its contributors and beneficiaries. This paper explores what this means for the science and practice of human factors/ergonomics design and engineering as well as how we teach it. We summarize the augmented economy and HFES relevant examples of learning within it. We them point out some of the challenges to HFES within this setting. Finally, we propose the learning engineering process as one model that might help advance the field respond to the intelligence augmentation economy.

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Exploring augmented reality for worker assistance versus training

Cited by 37 publications

References 50 publications

Microsoft HoloLens 2 in Medical and Healthcare Context: State of the Art and Future Prospects

Microsoft HoloLens 2 in Medical and Healthcare Context: State of the Art and Future Prospects

Impact of Augmented Reality on Assistance and Training in Industry 4.0: Qualitative Evaluation and Meta-Analysis

What Does an Emerging Intelligence Augmentation Economy Mean for HF/E? Can Learning Engineering Help?

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