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Understanding how network performance affects user experience of remote guidance


Donovan, A and Alem, L and Huang, W and Liu, R and Hedley, M, Understanding how network performance affects user experience of remote guidance, Lecture Notes in Computer Science, 7-10 September 2014, Santiago, Chile, pp. 1-12. ISBN 978-3-319-10165-1 (2014) [Refereed Conference Paper]

Copyright Statement

Copyright 2014 Springer International Publishing Switzerland

DOI: doi:10.1007/978-3-319-10166-8_1


Much research has been done to support remote collaboration on physical tasks. However, the focus of the research has been mainly on system and interface design and their impact on collaboration. Relatively less attention has been paid to investigating how network performance can affect user experience and task performance. In this paper, we present a preliminary user study on this issue in which participants were asked to work collaboratively in pair using a remote mobile tele-assistance system we developed. In this study, five network scenarios were examined and network performance (QoS) was measured using four metrics including delay, jitter, bandwidth and packet loss. User experience (QoE) was measured using both objective and subjective metrics. The formal included time taken and number of instructions repeated for task performance while the latter included user ratings of quality of audio experience, quality of video experience and overall quality of experience. The results indicated that the packet loss rate in QoS is the biggest contributor to loss in QoE. We also discuss implications of the study and possible directions of future work.

Item Details

Item Type:Refereed Conference Paper
Keywords:CSCW, user experience, network performance
Research Division:Information and Computing Sciences
Research Group:Library and information studies
Research Field:Human information interaction and retrieval
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the information and computing sciences
UTAS Author:Huang, W (Dr Tony Huang)
ID Code:93678
Year Published:2014
Deposited By:Information and Communication Technology
Deposited On:2014-08-12
Last Modified:2018-01-16

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