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author:

Li, Zheng (Li, Zheng.) [1] | Yuan, Xiaxin (Yuan, Xiaxin.) [2] | Chen, Yijing (Chen, Yijing.) [3] | Xie, Siyan (Xie, Siyan.) [4] | Li, Liangkai (Li, Liangkai.) [5] | An, Yi (An, Yi.) [6] | Lin, Yinheng (Lin, Yinheng.) [7] | Zhao, Zhijun (Zhao, Zhijun.) [8] | Timoney, Joseph (Timoney, Joseph.) [9] | Bi, Ting (Bi, Ting.) [10]

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EI

Abstract:

Extended Reality(XR) has been fully developed in recent years. Multi-sensorial XR technology augments haptic and olfaction to provide users with a more realistic experience. However, there are few studies on the Quality of Experience (QoE) around the synchronization deviation between vision and haptic in XR. This paper adjusts the scale of the synchronization deviation between vision and haptic to collect the participant's QoE marks. Through the study of the collected data, this paper establishes a linear regression model for positive and negative deviation. This research finds that participants can not tolerate deviations of more than 2000ms and less than -1200ms. Therefore, maintaining the deviation at [-400ms, 600ms] will lead to a good QoE. © 2022 IEEE.

Keyword:

Quality of service Regression analysis Sensory analysis Synchronization

Community:

  • [ 1 ] [Li, Zheng]Fuzhou University, Maynooth International Engineering College, China
  • [ 2 ] [Yuan, Xiaxin]Fuzhou University, Maynooth International Engineering College, China
  • [ 3 ] [Chen, Yijing]Fuzhou University, Maynooth International Engineering College, China
  • [ 4 ] [Xie, Siyan]Fuzhou University, Maynooth International Engineering College, China
  • [ 5 ] [Li, Liangkai]Fuzhou University, Maynooth International Engineering College, China
  • [ 6 ] [An, Yi]Fuzhou University, Maynooth International Engineering College, China
  • [ 7 ] [Lin, Yinheng]Fuzhou University, Maynooth International Engineering College, China
  • [ 8 ] [Zhao, Zhijun]Fuzhou University, Maynooth International Engineering College, China
  • [ 9 ] [Timoney, Joseph]Maynooth University, Department Computer Science, Ireland
  • [ 10 ] [Bi, Ting]Maynooth University, Department Computer Science, Ireland

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Year: 2022

Page: 75-80

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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