research-article

Less is more! Support of Parallel and Time-critical Assembly Tasks with Augmented Reality

Authors:

Jannike Illing,

Philipp Klinke,

Max Pfingsthorn,

Wilko HeutenAuthors Info & Claims

MuC '21: Proceedings of Mensch und Computer 2021

Pages 215 - 226

https://doi.org/10.1145/3473856.3473861

Published: 13 September 2021 Publication History

Abstract

Manual assembly tasks require workers to precisely assemble parts in 3D space in parallel steps. Often, additional time pressure further increases the complexity of these parallel tasks (e.g. in adhesive bonding processes). The performance in parallel tasks is heavily influenced by the capacity of the working memory, which is often overwhelmed if rules and states of too many tasks have to be remembered or perceived. Therefore, we propose to use Augmented Reality (AR) to investigate how visual assistance with parallel tasks can affect worker performance in time and spatial dependent process steps. In a user study, we compare three conditions: AR instructions presented (a) One task, (b) Two tasks, and (c) Four tasks per step on a tablet. For instructions we used selected work steps from a standardized adhesive bonding process as a representative for common time-critical assembly tasks. Our results show that instructions with multiple displayed tasks simultaneously per step can improve the process time but also increase the error rate and task load. The work instructions with less displayed tasks per work step showed better subjective results among participants, which may increase motivation, especially among less experienced workers. Our results help designers and developers to design assistance systems for time-critical and simultaneously executable assembly tasks, while considering process times, error rate and task load.

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Cited By

Illing JGruenefeld UHeuten W(2024)Keep Track! Supporting Spatial Tasks with Augmented Reality OverviewsProceedings of the 2024 ACM Symposium on Spatial User Interaction10.1145/3677386.3682093(1-11)Online publication date: 7-Oct-2024
https://dl.acm.org/doi/10.1145/3677386.3682093
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Gonnermann‐Müller JKrüger J(2024)Unlocking Augmented Reality Learning Design Based on Evidence From Empirical Cognitive Load Studies—A Systematic Literature ReviewJournal of Computer Assisted Learning10.1111/jcal.1309541:1Online publication date: 2-Dec-2024
https://doi.org/10.1111/jcal.13095
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MuC '21: Proceedings of Mensch und Computer 2021

September 2021

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DOI:10.1145/3473856

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Cited By

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https://dl.acm.org/doi/10.1145/3677386.3682093
Nassiuma IGoh YHubbard E(2024)Positive and Negative Reinforcement Nudges for Human-Robot Collaboration using a Mixed Reality InterfaceProceedings of the European Conference on Cognitive Ergonomics 202410.1145/3673805.3673844(1-4)Online publication date: 8-Oct-2024
https://dl.acm.org/doi/10.1145/3673805.3673844
Gonnermann‐Müller JKrüger J(2024)Unlocking Augmented Reality Learning Design Based on Evidence From Empirical Cognitive Load Studies—A Systematic Literature ReviewJournal of Computer Assisted Learning10.1111/jcal.1309541:1Online publication date: 2-Dec-2024
https://doi.org/10.1111/jcal.13095
Jha PDi Pasquale VSaleem JWang X(2024)Taxonomy of performance shaping factors in manufacturing: A systematic literature reviewHuman Factors and Ergonomics in Manufacturing & Service Industries10.1002/hfm.2103634:5(367-385)Online publication date: 13-May-2024
https://doi.org/10.1002/hfm.21036
Peixe LAgati SHounsell M(2023)Manual Assembly Augmented Reality Systems Implementation: A Systematic Literature MappingProceedings of the 25th Symposium on Virtual and Augmented Reality10.1145/3625008.3625011(17-25)Online publication date: 6-Nov-2023
https://dl.acm.org/doi/10.1145/3625008.3625011
Liu JWang PTversky BFeiner S(2022)Adaptive Visual Cues for Guiding a Bimanual Unordered Task in Virtual Reality2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR55827.2022.00059(431-440)Online publication date: Oct-2022
https://doi.org/10.1109/ISMAR55827.2022.00059

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