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Published in: Computer Supported Cooperative Work (CSCW) 3-6/2018

02-06-2018

The Effect of Collaboration Styles and View Independence on Video-Mediated Remote Collaboration

Authors: Seungwon Kim, Mark Billinghurst, Gun Lee

Published in: Computer Supported Cooperative Work (CSCW) | Issue 3-6/2018

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Abstract

This paper investigates how different collaboration styles and view independence affect remote collaboration. Our remote collaboration system shares a live video of a local user’s real-world task space with a remote user. The remote user can have an independent view or a dependent view of a shared real-world object manipulation task and can draw virtual annotations onto the real-world objects as a visual communication cue. With the system, we investigated two different collaboration styles; (1) remote expert collaboration where a remote user has the solution and gives instructions to a local partner and (2) mutual collaboration where neither user has a solution but both remote and local users share ideas and discuss ways to solve the real-world task. In the user study, the remote expert collaboration showed a number of benefits over the mutual collaboration. With the remote expert collaboration, participants had better communication from the remote user to the local user, more aligned focus between participants, and the remote participants’ feeling of enjoyment and togetherness. However, the benefits were not always apparent at the local participants’ end, especially with measures of enjoyment and togetherness. The independent view also had several benefits over the dependent view, such as allowing remote participants to freely navigate around the workspace while having a wider fully zoomed-out view. The benefits of the independent view were more prominent in the mutual collaboration than in the remote expert collaboration, especially in enabling the remote participants to see the workspace.

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Footnotes
2
Analysis of variance (ANOVA) is a statistical method to determine whether the means of groups are different using F-statistics. F-statistics is based on the ratio of mean squares, estimate of population variance that accounts for the degrees of freedom (DF) used to calculate that estimate. By calculating the ratio of variation between sample means and variation within the samples by F-statistics, ANOVA checks whether means are different or not.
 
3
ART was introduced to analyse nonparametric data from a multiple-factors experiment without complex process. It is a preprocessing step to transform and align nonparametric data before analysing it using repeated measures ANOVA
 
5
The interquartile range is middle 50% among the provided series of data. It usually means the range between lower quartiles (25th percentiles) and upper quartiles (75th percentiles).
 
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Metadata
Title
The Effect of Collaboration Styles and View Independence on Video-Mediated Remote Collaboration
Authors
Seungwon Kim
Mark Billinghurst
Gun Lee
Publication date
02-06-2018
Publisher
Springer Netherlands
Published in
Computer Supported Cooperative Work (CSCW) / Issue 3-6/2018
Print ISSN: 0925-9724
Electronic ISSN: 1573-7551
DOI
https://doi.org/10.1007/s10606-018-9324-2

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