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Procedia Computer Science
Article . 2019 . Peer-reviewed
License: CC BY NC ND
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Procedia Computer Science
Article
License: CC BY NC ND
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Research@THEA
Article . 2019
License: CC BY NC ND
Data sources: Research@THEA
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The Effect of Cybersickness of an Immersive Wheelchair Simulator

Authors: Débora Pereira Salgado; Thiago Braga Rodrigues; Felipe Roque Martins; Eduardo L. M. Naves; Ronan Flynn; Niall Murray;

The Effect of Cybersickness of an Immersive Wheelchair Simulator

Abstract

Abstract A key challenge that Immersive applications have to overcome is cybersickness. Cybersickness is particularly prevalent in dynamic applications such as vehicles simulators. The work presented here aims to understand the cause of cybersickness symptoms in an assistive technology (AT) application, the virtual wheelchair training simulator. This evaluation is performed in terms of errors made during experience and post-experience Simulator Sickness Questionnaire (SSQ). The performance metrics analyzed are time to complete the proposal task and number of collisions (errors/mistakes). The post-experience questionnaires (subjective measurements) collected the user’s experience in terms of simulator sickness by applying the Simulator Sickness Questionnaire (SSQ) and immersion questions. The experiments were conducted with 10 participants. In terms of results, analysis of human factors reveals that the average cybersickness score is slightly higher for women compared to men. However, these differences were not statistically significant. There was an inverse correlation between cybersickness symptoms and task performance as well as between cybersickness symptoms and immersion.

Keywords

Faculty of Engineering & Informatics, Wheelchair simulator, Cybersickness, Immersive technologies, Assistive technologies

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Average
gold