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An Augmented Reality Online Assistance Platform for Repair Tasks

Published: 11 May 2021 Publication History

Abstract

Our augmented reality online assistance platform enables an expert to specify 6DoF movements of a component and apply the geometrical and physical constraints in real-time. We track the real components on the expert’s side to monitor the operations of an expert. We leverage a remote rendering technique that we proposed previously to relieve the rendering burden of the augmented reality end devices. By conducting a user study, we show that the proposed method outperforms conventional instructional videos and sketches. The answers to the questionnaires show that the proposed method receives higher recommendation than sketching, and, compared to conventional instructional videos, is outstanding in terms of instruction clarity, preference, recommendation, and confidence of task completion. Moreover, as to the overall user experience, the proposed method has an advantage over the video method.

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  • (2023)A Survey on Remote Assistance and Training in Mixed Reality EnvironmentsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.324708129:5(2291-2303)Online publication date: 1-May-2023
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Published In

cover image ACM Transactions on Multimedia Computing, Communications, and Applications
ACM Transactions on Multimedia Computing, Communications, and Applications  Volume 17, Issue 2
May 2021
410 pages
ISSN:1551-6857
EISSN:1551-6865
DOI:10.1145/3461621
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 May 2021
Accepted: 01 October 2020
Revised: 01 October 2020
Received: 01 May 2020
Published in TOMM Volume 17, Issue 2

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Author Tags

  1. Augmented reality
  2. collaborative tools
  3. performance evaluation
  4. remote assistance

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Cited By

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  • (2024)ATMNet: Adaptive Texture Migration Network for Guided Depth Super-ResolutionACM Transactions on Multimedia Computing, Communications, and Applications10.1145/370264221:1(1-21)Online publication date: 1-Nov-2024
  • (2024)Legal, Technical and User Perspectives on the Right to ModifyHCI International 2024 – Late Breaking Papers10.1007/978-3-031-76821-7_23(327-341)Online publication date: 17-Dec-2024
  • (2023)A Survey on Remote Assistance and Training in Mixed Reality EnvironmentsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.324708129:5(2291-2303)Online publication date: 1-May-2023
  • (2023)A Secure Intelligent System for Internet of Vehicles: Case Study on Traffic ForecastingIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.324354224:11(13218-13227)Online publication date: 27-Feb-2023
  • (2023)Augmented reality-based guidance in product assembly and maintenance/repair perspectiveExpert Systems with Applications: An International Journal10.1016/j.eswa.2022.118983213:PAOnline publication date: 1-Mar-2023
  • (2022)Towards an Advanced Deep Learning for the Internet of Behaviors: Application to Connected VehiclesACM Transactions on Sensor Networks10.1145/352619219:2(1-18)Online publication date: 20-Dec-2022
  • (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
  • (2022)Extended reality applications in industry 4.0. – A systematic literature reviewTelematics and Informatics10.1016/j.tele.2022.10186373:COnline publication date: 1-Sep-2022

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