Comparing Visual Assembly Aids for Augmented Reality Work Instructions Oliver, James MacAllister, Anastacia Hoover, Melynda MacAllister, Anastacia Gilbert, Stephen Oliver, James Radkowski, Rafael Garrett, Timothy Holub, Joseph Winer, Eliot Terry, Scott Gilbert, Stephen Davies, Paul
dc.contributor.department Mechanical Engineering
dc.contributor.department Virtual Reality Applications Center
dc.contributor.department Electrical and Computer Engineering
dc.contributor.department Psychology
dc.contributor.department Materials Science and Engineering
dc.contributor.department Industrial and Manufacturing Systems Engineering
dc.contributor.department Virtual Reality Applications Center 2019-07-18T06:36:45.000 2020-06-30T06:02:13Z 2020-06-30T06:02:13Z Sun Jan 01 00:00:00 UTC 2017 2019-01-08 2017-01-01
dc.description.abstract <p>Increased product complexity and the focus on zero defects, especially when manufacturing complex engineered products, means new tools are required for helping workers conduct challenging assembly tasks. Augmented reality (AR) has shown considerable promise in delivering work instructions over traditional methods. Many proof-of-concept systems have demonstrated the feasibility of AR but little work has been devoted to understanding how users perceive different AR work instruction interface elements. This paper presents a between-subjects study looking at how interface elements for object depth placement in a scene impact a user’s ability to quickly and accurately assemble a mock aircraft wing in a standard work cell. For object depth placement, modes with varying degrees of 3D modeled occlusion were tested, including a control group with no occlusion, virtual occlusion, and occlusion by contours. Results for total assembly time and total errors indicated no statistically significant difference between interfaces, leading the authors to conclude a floor has been reached for optimizing the current assembly when using AR for work instruction delivery. However, looking at a handful of highly error prone steps showed the impact different types of occlusion have on helping users correctly complete an assembly task. The results of the study provide insight into how to construct an interface for delivering AR work instructions using occlusion. Based on these results, the authors recommend customizing the occlusion method based on the features of the required assembly task. The authors also identified a floor effect for the steps of the assembly process, which involved picking the necessary parts from tables and bins. The authors recommend using vibrant outlines and large textual cues (e.g., numbers on parts bins) as interface elements to guide users during these types of “picking” steps.</p>
dc.description.comments <p>This proceeding is published as MacAllister, Anastacia, Melynda Hoover, Stephen Gilbert, James Oliver, Rafael Radkowski, Timothy Garrett, Joseph Holub, Eliot Winer, Scott Terry, and Paul Davies. "Comparing Visual Assembly Aids for Augmented Reality Work Instructions." In <em>Proceedings of the 2017 Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC)</em>. Volume 2017, Paper no. 17208. Arlington, VA: National Training and Simulation Association. Posted with permission.</p>
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dc.identifier archive/
dc.identifier.articleid 1196
dc.identifier.contextkey 13583729
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath me_conf/197
dc.language.iso en
dc.source.bitstream archive/|||Fri Jan 14 21:59:14 UTC 2022
dc.source.bitstream archive/|||Fri Jan 14 21:59:17 UTC 2022
dc.subject.disciplines Electrical and Computer Engineering
dc.subject.disciplines Ergonomics
dc.subject.disciplines Mechanical Engineering
dc.subject.disciplines Operations Research, Systems Engineering and Industrial Engineering
dc.title Comparing Visual Assembly Aids for Augmented Reality Work Instructions
dc.type article
dc.type.genre presentation
dspace.entity.type Publication
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