An Analysis of Language Impact on Augmented Reality Order Picking Training

Murauer, Nela; Müller, Florian; Günther, Sebastian; Schön, Dominik; Pflanz, Nerina; Funk, Martin

doi:10.1145/3197768.3201570

Cited by 22 publications

(13 citation statements)

References 11 publications

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“…Murauer et al [27] used augmented reality to create language-independent order picking instructions. Many times, instructions are not written in workers' native language.…”

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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“…Murauer et al [27] used augmented reality to create language-independent order picking instructions. Many times, instructions are not written in workers' native language.…”

Section: Augmented Reality-armentioning

confidence: 99%

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

et al. 2020

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“…The authors of [32] stated that order picking is a demanding task at the cognitive level. The authors of [33] demonstrated the significant effect of for pinking tasks on human capacities and error rate by recording the human cognitive load, while the authors of [34] studied the order picking process using a projector helmet.…”

Section: Order Pickingmentioning

confidence: 99%

“…Furthermore, traditional HCI focuses on preventing usability problems and, according to [38], it should also generate remarkable quality experiences and add to a better quality of life. The ideal approach to decrease cognitive load is through augmentative technologies, which does not necessarily refer only to augmented reality when it comes to manufacturing [32]. The following technologies help workers on the job, and they can be integrated into the environment to improve worker capacity [17]:…”

Section: Srq2: What Are the Human-computer Interaction Technologies That Reduce The Cognitive Load In Manufacturing Environments?mentioning

confidence: 99%

“…Regardless of the reason, numerous quality issues are accepted due to failures in identifying them. All manufacturers have some convention for checking quality inline; however, if the workers have the correct tools, they will be able to catch more nonconformances, prompting fewer rework hours [32]. Some examples of Industry 4.0 technologies for quality checks are automated solutions [48] and machine vision systems [49,50].…”

mentioning

confidence: 99%

“…It is important to state that not only operators benefit from technologies that reduce the cognitive load; these tools are also important to anybody doing physical or intellectual work on the shop floor [32]. From the SRQ2 above, we were able to identify the human-computer technologies that reduce the cognitive load.…”

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confidence: 99%

See 2 more Smart Citations

Cognitive Manufacturing in Industry 4.0 toward Cognitive Load Reduction: A Conceptual Framework

Carvalho

Chouchene

Lima

et al. 2020

ASI

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Cognitive manufacturing utilizes cognitive computing, the industrial Internet of things (IoT), and advanced analytics to upgrade manufacturing processes in manners that were not previously conceivable. It enables associations to improve major business measurements, for example, productivity, product reliability, quality, and safety, while decreasing downtime and lowering costs. Considering all the facts that can prejudice the manufacturing performance in Industry 4.0, the cognitive load has received more attention, since it was previously neglected with respect to manufacturing industries. This paper aims to investigate what causes cognitive load reduction in manufacturing environments, i.e., human–computer interaction technologies that reduce the identified causes and the applications of cognitive manufacturing that use the referred technologies. Thus, a conceptual framework that links cognitive manufacturing to a reduction of the cognitive load was developed.

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Pervasive Augmented Reality to support logistics operators in industrial scenarios: a shop floor user study on kit assembly

Maio

Santos

Marques

et al. 2023

Int J Adv Manuf Technol

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Augmented Reality (AR) is a pillar of the transition to Industry 4.0 and smart manufacturing. It can facilitate training, maintenance, assembly, quality control, remote collaboration and other tasks. AR has the potential to revolutionize the way information is accessed, used and exchanged, extending user’s perception and improving their performance. This work proposes a Pervasive AR tool, created with partners from the industry sector, to support the training of logistics operators on industrial shop floors. A Human-Centered Design (HCD) methodology was used to identify operators difficulties, challenges, and define requirements. After initial meetings with stakeholders, two distinct methods were considered to configure and visualize AR content on the shop floor: Head-Mounted Display (HMD) and Handheld Device (HHD). A first (preliminary) user study with 26 participants was conducted to collect qualitative data regarding the use of AR in logistics, from individuals with different levels of expertise. The feedback obtained was used to improve the proposed AR application. A second user study was realized, in which 10 participants used different conditions to fulfill distinct logistics tasks: C1 — paper; C2 — HMD; C3 — HHD. Results emphasize the potential of Pervasive AR in the operators’ workspace, in particular for training of operators not familiar with the tasks. Condition C2 was preferred by all participants and considered more useful and efficient in supporting the operators activities on the shop floor.

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An Analysis of Language Impact on Augmented Reality Order Picking Training

Cited by 22 publications

References 11 publications

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

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

Cognitive Manufacturing in Industry 4.0 toward Cognitive Load Reduction: A Conceptual Framework

Pervasive Augmented Reality to support logistics operators in industrial scenarios: a shop floor user study on kit assembly

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