Dodds, T.J. and Ruddle, R.A. (2008) Mobile group dynamics in large-scale collaborative virtual environments. In: Proceedings of IEEE Virtual Reality. IEEE Virtual Reality 2008, 08-12 Mar 2008, Reno, Nevada, USA. IEEE , pp. 59-66. ISBN 978-1-4244-1971-5
Abstract
We have developed techniques called Mobile Group Dynamics (MGDs), which help groups of people to work together while they travel around large-scale virtual environments. MGDs explicitly showed the groups that people had formed themselves into, and helped people move around together and communicate over extended distances. The techniques were evaluated in the context of an urban planning application, by providing one batch of participants with MGDs and another with an interface based on conventional collaborative virtual environments (CVEs). Participants with MGDs spent nearly twice as much time in close proximity (within 10m of their nearest neighbor), communicated seven times more than participants with a conventional interface, and exhibitedreal-world patterns of behavior such as staying together over an extended period of time and regrouping after periods of separation. The study has implications for CVE designers, because it shows how MGDs improves groupwork in CVEs.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Copyright 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
Keywords: | Collaborative interaction, experimental methods, distributed VR, usability |
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: | Mrs Yasmin Aziz |
Date Deposited: | 28 Nov 2008 16:45 |
Last Modified: | 19 Dec 2022 13:20 |
Published Version: | http://dx.doi.org/10.1109/VR.2008.4480751 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/VR.2008.4480751 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:4948 |