Exploring The Impact Of Simulator Sickness On The Virtual World Experience

Keywords

Pattern recognition; Simulator sickness; Virtual environments; Virtual worlds

Abstract

This research initiative seeks to understand training effectiveness for Virtual World (VW) technologies. The advancement of VW training platforms in both academia and industry demonstrates the need to investigate the effects of simulator sickness (SS) on the VW experience. This paper uses the Military Open Simulator Enterprise Strategy (MOSES) VW platform to train 32 Reserve Officers’ Training Corps Cadets from the University of Central Florida on a room clearing task. A between-subjects design was conducted with an emphasis on the VW training condition. The data collected included both individual and collective performance as well as perceptual data (SS, Presence, Flow, and Engagement). Data analysis comprised of a series of Pearson product correlation coefficient for understanding the relationship between SS and Presence, Flow, and Engagement in addition to explaining performance outcomes. The results found moderate to strong, negative correlations between SS and Presence, SS and Flow, and SS and Engagement. The results reveal that SS interrupts presence during the VW training which can lead to negative training transfer. Alternatively, the increase in presence, flow, and engagement associated with a decrease in SS may be linked to motivation which is essential to effective training. Finally, this paper discusses limitations related to VW research (e.g., internal and external validity, expertise level, etc.) but also provides a basic foundation from which SS research may enhance VW training.

Publication Date

1-1-2017

Publication Title

Advances in Intelligent Systems and Computing

Volume

498

Number of Pages

635-643

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-3-319-42070-7_59

Socpus ID

84979658056 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84979658056

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