Please use this identifier to cite or link to this item: https://dl.eusset.eu/handle/20.500.12015/3705
Title: Remote Collaboration using Mixed Reality: Exploring a shared model approach through different interaction methods
Authors: Barroso Rego, João Paulo
Fonseca, Luís
Marques, Bernardo
Dias, Paulo
Sousa-Santos, Beatriz
Issue Date: 2020
Publisher: European Society for Socially Embedded Technologies (EUSSET)
metadata.dc.relation.ispartof: Proceedings of 18th European Conference on Computer-Supported Cooperative Work
Series/Report no.: Reports of the European Society for Socially Embedded Technologies: vol. 4, no. 2
Abstract: In many situations, performing maintenance procedures can be facilitated by providing on-site professionals with the possibility to request assistance from remote experts, thus performing the task collaboratively. Since remote experts don't have access to the local environment, they need additional mechanisms to provide instructions and guidance in such context. In this ongoing work, we present a Mixed Reality (MR) platform that explores the use of a shared model approach for collaboration scenarios. The platform uses predefined 3D models, which can be accessed by remote experts using Virtual Reality (VR) and by on-site users through Augmented Reality (AR). In addition, the remote expert can manipulate virtual models using different interaction methods and devices, as a mouse and a keyboard (computer), an interactive projector (touch) and controllers (Head Mounted Display). Our goal was to enrich his experience and improve collaborative awareness. We conducted a preliminary user study to evaluate collaboration, and different interaction methods, using as case study the assembly of Lego blocks.
metadata.dc.identifier.doi: 10.18420/ecscw2020_p01
URI: https://dl.eusset.eu/handle/20.500.12015/3705
ISSN: 2510-2591
metadata.mci.conference.sessiontitle: Poster
metadata.mci.conference.location: Siegen, Germany
metadata.mci.conference.date: 13 - 17 June 2020
Appears in Collections:ECSCW 2020 Posters

Files in This Item:
File SizeFormat 
ecscw2020-p01.pdf225,07 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.