Exploring training modes for industrial augmented reality learning

Heinz, Mario; Büttner, Sebastian; Röcker, Carsten

doi:10.1145/3316782.3322753

Cited by 11 publications

(3 citation statements)

References 9 publications

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“…Bottani and Vignali's survey [5] underscores the growing importance of AR in industry, emphasizing its potential to avoid delays and prevent mistakes. Existing AR applications have shown potential benefits in enhancing the speed and accuracy of manual tasks [6], reducing errors [7], and improving training effectiveness [8]. Manufacturing and training emerge as key application areas within the industrial context, signaling a broader acceptance and utilization of AR in the industry.…”

Section: Benefits Of Augmented Reality In Industrial Contextsmentioning

confidence: 99%

Evaluating an Augmented Reality Prototype for Enhanced User Guidance in an Industrial Production Context

Tobiskova,

Hattinger,

Sanderson Gull

2024

Advances in Transdisciplinary Engineering

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This study evaluates an augmented reality (AR) prototype aimed at enhancing user guidance in industrial procedures, focusing on tool change tasks. The variability in experience and skills among operators and maintenance technicians in handling machine-related requirements poses challenges to smooth operations. To address this, an AR guidance system was developed for a head-mounted display device, utilizing image, object, and gesture recognition to minimize user interaction and enhance system adaptiveness, ultimately reducing cognitive load. A user study employing video observations and questionnaires was conducted to evaluate the AR system’s impact on usability and cognitive load. Results indicate that the prototype effectively facilitated tool change tasks, providing a user-friendly experience with reduced cognitive load. The integration of image, object, and gesture recognition contributed to streamlined user guidance, minimizing the need for constant user interventions. Notably, participants experienced a fluid user experience with high usability and a moderate cognitive load, emphasizing the system’s potential in managing complex tasks. The study also highlighted the applicability of AR technology in fields beyond tool changes, such as troubleshooting, and identified a preference for an apprenticeship-style training approach among participants.

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Section: Benefits Of Augmented Reality In Industrial Contextsmentioning

confidence: 99%

Evaluating an Augmented Reality Prototype for Enhanced User Guidance in an Industrial Production Context

Tobiskova,

Hattinger,

Sanderson Gull

2024

Advances in Transdisciplinary Engineering

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“…Heinz et al [25] developed an augmented reality system to give users a better understanding of complex automated systems, despite the increasing complexity of these systems and the continuous decline of expert availability. An AR tablet application was created to give the user information about internal processes, sensor states, settings, and hidden parts of the system without the need for an expert.…”

Section: Augmented Reality-armentioning

confidence: 99%

A Review of Extended Reality (XR) Technologies for Manufacturing Training

et al. 2020

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Recently, the use of extended reality (XR) systems has been on the rise, to tackle various domains such as training, education, safety, etc. With the recent advances in augmented reality (AR), virtual reality (VR) and mixed reality (MR) technologies and ease of availability of high-end, commercially available hardware, the manufacturing industry has seen a rise in the use of advanced XR technologies to train its workforce. While several research publications exist on applications of XR in manufacturing training, a comprehensive review of recent works and applications is lacking to present a clear progress in using such advance technologies. To this end, we present a review of the current state-of-the-art of use of XR technologies in training personnel in the field of manufacturing. First, we put forth the need of XR in manufacturing. We then present several key application domains where XR is being currently applied, notably in maintenance training and in performing assembly task. We also reviewed the applications of XR in other vocational domains and how they can be leveraged in the manufacturing industry. We finally present some current barriers to XR adoption in manufacturing training and highlight the current limitations that should be considered when looking to develop and apply practical applications of XR.

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“…The increasing capabilities of mobile devices and the emergence of head-mounted widgets has enabled the use of Augmented Reality (AR) (Azuma 1997) as the interface for all sorts of applications (Ling 2017). These range from industrial applications -e.g., in combination with Digital Twins (Böhm et al 2021), as training assistants (Heinz et al 2019), or for remote collaborative work (Schäfer et al 2022) -to education (Hincapié et al 2021) and leisure activities like gaming in mobile devices (Pierdicca et al 2019). The promotion of AR in platforms like SnapChat (Snap AR), or the upcoming Metaverse (Metaverse), has risen the usage of AR applications and the expectation of all sorts of AR-based usage scenarios in the short term.…”

Section: Introductionmentioning

confidence: 99%

Model-Driven Engineering for Augmented Reality.

Campos-López¹,

Guerra²,

Lara³

et al. 2023

JOT

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The steady increase of the capabilities of mobile devices and the appearance of novel head-mounted widgets has triggered the interest in developing Augmented Reality (ARs) applications. In these applications, virtual objects can be overlaid over the real ones, and the user can interact with the virtual objects. AR applications open the door to innovative scenarios both for industrial use and leisure. However, their construction requires substantial effort and specialised knowledge.In this paper, we report on a model-driven approach to build AR applications that eliminates the need for manual coding. It is based on the definition of a domain meta-model, enriched with AR representations for the domain concepts and a description of the interaction with external information systems and devices. This paper presents the concepts, the technical realisation in an iOS tool called ALTER, an evaluation on five case studies, and a user study demonstrating its usefulness and usability.

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Exploring training modes for industrial augmented reality learning

Cited by 11 publications

References 9 publications

Evaluating an Augmented Reality Prototype for Enhanced User Guidance in an Industrial Production Context

Evaluating an Augmented Reality Prototype for Enhanced User Guidance in an Industrial Production Context

A Review of Extended Reality (XR) Technologies for Manufacturing Training

Model-Driven Engineering for Augmented Reality.

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