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Testing Augmented Reality Systems for Spotting Sub-Surface Impurities

Abstract : To limit musculoskeletal disorders we are working towards implementing collaborative robotics in strenuous or repetitive production work. Our objective is to evaluate augmented reality (AR) devices for assisting in near-distance tasks before applying and testing the displays in the context of human-robot collaboration in a production setting. This chapter describes the hardware setup and procedure for testing AR systems for showing sub-surface positions of foreign elements in an opaque mass. The goal is it test four types of setup in terms of user accuracy and speed, the four setups being a head-mounted see-through display, a mounted tablet-based see-through display, top-down surface projection and overlays on a static monitor. The experiment is carried out using a tracked HTC Vive controller with a needle attachment. Precision tasks are performed by 48 participants and each display is evaluated using the System Usability Scale and the NASA Task Load Index.
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Contributor : Hal Ifip <>
Submitted on : Wednesday, August 7, 2019 - 11:53:19 AM
Last modification on : Saturday, August 10, 2019 - 1:10:49 AM
Long-term archiving on: : Thursday, January 9, 2020 - 2:47:49 AM


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Kasper Hald, Matthias Rehm, Thomas Moeslund. Testing Augmented Reality Systems for Spotting Sub-Surface Impurities. 5th IFIP Working Conference on Human Work Interaction Design (HWID), Aug 2018, Espoo, Finland. pp.103-112, ⟨10.1007/978-3-030-05297-3_7⟩. ⟨hal-02264613⟩



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