Fidalgo, CG, Sousa, M, Mendes, D et al. (4 more authors) (2023) MAGIC: Manipulating Avatars and Gestures to Improve Remote Collaboration. In: Proceeding of 2023 IEEE Conference Virtual Reality and 3D User Interfaces (VR). 2023 IEEE Conference Virtual Reality and 3D User Interfaces (VR), 25-29 Mar 2023, Shanghai, China. IEEE , pp. 438-448.
Abstract
Remote collaborative work has become pervasive in many settings, ranging from engineering to medical professions. Users are immersed in virtual environments and communicate through life-sized avatars that enable face-to-face collaboration. Within this context, users often collaboratively view and interact with virtual 3D models, for example to assist in the design of new devices such as customized prosthetics, vehicles or buildings. Discussing such shared 3D content face-to-face, however, has a variety of challenges such as ambiguities, occlusions, and different viewpoints that all decrease mutual awareness, which in turn leads to decreased task performance and increased errors. To address this challenge, we introduce MAGIC, a novel approach for understanding pointing gestures in a face-to-face shared 3D space, improving mutual understanding and awareness. Our approach distorts the remote user’s gestures to correctly reflect them in the local user’s reference space when face-to-face. To measure what two users perceive in common when using pointing gestures in a shared 3D space, we introduce a novel metric called pointing agreement. Results from a user study suggest that MAGIC significantly improves pointing agreement in face-to-face collaboration settings, improving co-presence and awareness of interactions performed in the shared space. We believe that MAGIC improves remote collaboration by enabling simpler communication mechanisms and better mutual awareness.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Human-centered computing, Collaborative and social computing, Collaborative and social computing theory, concepts and paradigms, Computer supported cooperative work |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 06 Jul 2023 11:01 |
Last Modified: | 06 Jul 2023 11:01 |
Published Version: | http://dx.doi.org/10.1109/vr55154.2023.00059 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/vr55154.2023.00059 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:201242 |