The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Seeing the Bigger Picture? Ramping up Production with the Use of Augmented Reality
Abstract
Problem definition: Firms increasingly use augmented reality (AR) devices to improve their production ramp-up processes. These devices appear useful, yet little is known about their broader impact on worker productivity and behavior. Academic/practical relevance: Efficient production ramp-ups are particularly important when product life cycles are short. An ongoing debate among academics and practitioners pertains to how Industry 4.0, and AR devices in particular, can accelerate the ramp-up. The current study provides empirical evidence related to AR in the production ramp-up context, examines the strengths and weaknesses of AR, and tests four hypotheses, leading to a more nuanced view of AR use in the manufacturing ramp-up. Methodology: A framed field experiment in a manufacturing plant provides a test of how quickly workers can perform new tasks with and without AR support and how the use of AR affects their ability to suggest process improvements. Results: When faced with a new task, workers instructed by AR smart glasses use 43.8% less time to complete the task compared with a control group that relies on paper-based instructions. However, workers that use AR glasses consistently use 23% more time than the control group when both groups repeat the task without either AR or paper-based instructions. Task difficulty moderates this relationship; workers assigned to a more difficult task benefit the most from AR instructions. After the devices are removed, workers instructed based on paper improve their productivity faster through learning than those instructed by AR. In addition, the former group suggests better process improvements than the latter one. Managerial implications: Although these results indicate substantially higher productivity resulting from AR devices, they also support the view that, once instructed through AR devices, workers come to rely on this new technology without fully internalizing the task. This failure to internalize their task then leads workers to suggest less useful process improvements.
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“Previous technologies from computers, to virtual reality, to pre-LLM artificial intelligence have similarly reduced the mental effort required of their users and thereby decreased their learning (e.g., Mueller and Oppenheimer 2014, Wuttke et al. 2022, Dell'Acqua 2022, Miola et al. 2024; for a review, see Wang et al. 2020).”
From AI Meets the Classroom: When Do Large Language Models Harm Learning? (2024) · cites this paper as Wuttke et al. 2022
Citations
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Cited by
Sorted by citations
AI Meets the Classroom: When Do Large Language Models Harm Learning?
Lehmann, M., Cornelius, P. B., & Sting, F. J. (2024) · arXiv · doi:10.48550/arxiv.2409.09047 · Cited by 11
Metadata
- Authors
- Wuttke, D., Upadhyay, A., Siemsen, E., & Wuttke-Linnemann, A.
- Affiliations
- Technical University of Munich (DE)
- University of Wisconsin–Madison (US)
- Center for Mental Health in Old Age, Landeskrankenhaus Mainz, 55122 Mainz, Germany
- Venue
- Manufacturing & Service Operations Management
- Published
- 2022-07
- Volume
- 24
- Issue
- 4
- Pages
- 2349-2366
- ISSN
- 1523-4614 (ISSN-L)
- 1526-5498
- OpenAlex
- W4210461637
- Cited by
- 36
- References
- 5
- Citations by year
- 2026: 6 · 2025: 13 · 2024: 10 · 2023: 4 · 2022: 3
- FWCI
- 2.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Manufacturing & Service Operations Management (publishedVersion)
- mediaTUM (Technical University of Munich) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
- Keywords
- augmented reality, production ramp-up, smart glasses, labor productivity, task learning, task difficulty, paper-based instruction, Industry 4.0, manufacturing industry
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- Wuttke, D., Upadhyay, A., Siemsen, E., & Wuttke-Linnemann, A. (2022). Seeing the Bigger Picture? Ramping up Production with the Use of Augmented Reality. Manufacturing & Service Operations Management. https://doi.org/10.1287/msom.2021.1070