A QoE and simulator sickness evaluation of a smart-exercise-bike virtual reality system via user feedback and physiological signals

Stamos Katsigiannis, Rhys Willis, Naeem Ramzan

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)
264 Downloads (Pure)

Abstract

In this paper, we proposed, designed, and evaluated a smart-exercise-bike virtual reality system. The proposed system uses a custom microcontroller-based board in order to transmit signals from a stationary exercise bike to a computer, while a commercially available head mounted display is used in order to immerse the users into a virtual reality environment. Various quality settings related to texture resolution and to the frame rate of the rendered environment were evaluated by the users, while simulator sickness was assessed using the Simulator Sickness Questionnaire. Furthermore, physiological responses in terms of electrocardiography and galvanic skin response signals were captured for the whole duration of the experiments in order to better assess the effects of rendering quality and simulator sickness on the quality of experience of the proposed smart-exercise-bike virtual reality system. The effect and correlation between rendering quality and simulator sickness is then discussed in this paper.
Original languageEnglish
Pages (from-to)119-127
Number of pages9
JournalIEEE Transactions on Consumer Electronics
Volume65
Issue number1
Early online date1 Nov 2018
DOIs
Publication statusPublished - 28 Feb 2019

Keywords

  • smart-bike
  • cycling exergame
  • exergaming
  • virtual reality
  • HMD
  • QoE
  • simulator sickness
  • physiological signals
  • ECG
  • GSR

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