Can Gender and Motion Sickness Susceptibility Predict Cybersickness in VR ?

Pöhlmann, Katharina Margareta Theresa; Li, Gang; McGill, Mark; Pollick, Frank E.; Brewster, Stephen

doi:10.1109/vrw58643.2023.00066

Cited by 3 publications

(2 citation statements)

References 50 publications

(68 reference statements)

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“…In general, the motion sickness history, collected by the Motion Sickness Susceptibility Questionnaire (Golding 2006), is considered a good predictor for individual susceptibility to cybersickness as well (Jasper et al 2023). However, it solely considers the frequency of motion sickness occurring from physical movement, such as cars, airplanes, and amusement park rides and not from virtual environments and it shows inconsistent findings in predicting sickness as a result of VR exposure (Pöhlmann et al 2023). This may be important as there are generally some differences between susceptibility to cybersickness and motion sickness.…”

Section: Individual Differences In Susceptibility To Cybersicknessmentioning

confidence: 99%

Cybersickness with passenger VR in the aircraft: Influence of turbulence and VR content

Mittelstaedt,

Huelmann,

Marggraf-Micheel

et al. 2024

Virtual Reality

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Using VR in the airplane cabin is appealing, primarily because of the enhanced entertainment value, increased privacy, and improved recreational opportunities provided by higher levels of immersion. However, VR applications in aircrafts contain the risk of passengers developing cybersickness. The particular environment of a moving aircraft in interaction with visual representation of movements in VR could lead to severe cybersickness, especially during turbulence. We had 129 participants experience VR in a full flight simulator with different content (static or dynamic VR clips) and during varying phases of flight including turbulence. The employed simulator is equipped with a cabin module, creating an economically valid environment. VR induced significant but mild symptoms of cybersickness. Nausea and dizziness symptoms were most severe during turbulence and especially with dynamic VR content being presented. More anxious participants tended to report more symptoms. In addition, there was an association with video game use and attitudes toward new technologies. While mild content and short exposure times only led to fairly low expressions of cybersickness, a long-term use of VR under turbulence could possibly become a concern. Airlines should especially address passengers’ negative attitudes toward new technologies, and VR in particular, to reduce fears and the risk of low tolerability.

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Section: Individual Differences In Susceptibility To Cybersicknessmentioning

confidence: 99%

Cybersickness with passenger VR in the aircraft: Influence of turbulence and VR content

Mittelstaedt,

Huelmann,

Marggraf-Micheel

et al. 2024

Virtual Reality

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“…However, a person's history of motion sickness was not associated with cybersickness symptoms. Accordingly, it was reported that the difference in the history of motion sickness between genders did not translate into cybersickness experiences as men and women experienced similar levels of cybersickness (Pöhlmann et al, 2023).…”

Section: Discussionmentioning

confidence: 99%

Gender Effect on Motion Sickness Susceptibility

KOCAOĞLU,

BAYRAKTAR,

ERKMEN

2023

Avrasya Spor Bilimleri Ve Eğitim Dergisi

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The aim of this study was to determine whether there is a gender difference in sensitivity to visual stimulation-induced motion sickness (MS). Twenty-four women (age: 20.21±1.77 years, height: 162,79±5,27 cm, body weight: 52,87± 5,53) and 25 men (age: 21.32±2.90 years, height: 177.68±5.96 cm, body weight: 73.89±15.52 kg) volunteered to participate in the study. Participants were exposed to a visual video-recording stimulus to evoke the MS. The Simulator Sickness Questionnaire (SSQ) was administered before, after, and 30 min after the MS stimulation to determine MS symptoms. In the same period, participants' "yes" or "no" answers to the question "Do you suffer from motion sickness?" were recorded to obtain their MS self-reports. Postural sway measurements were taken before and immediately after the MS stimulation. Fourteen (58.3%) of the female and 12 (48.0%) of the male participants reported that they had MS, while 10 (41.7%) of the female and 13 (52.0%) of the male participants reported that they did not have MS. Gender and MS distributions were not statistically significant (p=0.469). Participants who declared MS before MS stimulation had higher postural sway than those who declared no MS (p=0.008), but postural sway scores were not different after MS stimulation (p=0.102). There was no difference between the pre-test postural sway scores of women with MS and men with MS (p=0.231), but at the post-test, men with MS had higher postural sway scores than women with MS (p=0.013). There was a statistically significant increase in the postural sway scores of men who declared that they had MS after MS stimulation (p=0.012). The pre-test (p=0.899) and post-test (p=0.434) SSQ scores of men and women with MS were not statistically different, while women had higher SSQ scores than men at the post-test 30 (p=0.020). In conclusion; the study findings showed that there was no relationship between gender and rates of motion sickness. It can be said that women are more susceptible to MS in terms of symptom severity. On the other hand, it is thought that MS increases postural sway and that postural sway may be a precursor before MS.

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