[Development and evaluation of the simplified Chinese versions of motion sickness susceptibility questionnaire].

Objective: To develop and evaluate the simplified Chinese versions of motion sickness susceptibility questionnaire (MSSQ)-long (MSSQ-L) and MSSQ-short (MSSQ-S). Methods: A cross-sectional study was conducted in May 2023 among 3 426 university students at North China University of Science and Technology. The Chinese versions of MSSQ-L and MSSQ-S were distributed, and item selection for Simplified Chinese versions of MSSQ-L and MSSQ-S was performed based on item response rates, item-total correlations, Cronbach's alpha coefficients, and standard deviations. Forty-five male and forty-five female participants were recruited from the initial survey population to complete Coriolis acceleration endurance testing and fill out the simplified Chinese versions of MSSQ-L and MSSQ-S, and Graybiel symptom severity score questionnaire. Internal consistency, external consistency, criterion validity, discriminant validity, and predictive accuracy for motion sickness severity were assessed. Results: A total of 3 111 valid responses were received for the Chinese versions of MSSQ, yielding an effective response rate of 90.8% (3 111/3 426). Among the 3 111 students surveyed, there were 965 males and 2 146 females, with a mean age of (19.5±1.4) years. The highest usage rates for item were observed for cars (98.9%, 3 077/3 111) and buses (98.8%, 3 073/3 111). The simplified Chinese versions of MSSQ-L and MSSQ-S consisted of four and eight items, respectively. The Cronbach's alpha coefficients were 0.900 and 0.953 for the simplified Chinese versions of MSSQ-S and MSSQ-L, respectively, with test-retest reliabilities of 0.895 and 0.908. Criterion validity coefficients were 0.814 and 0.765 for the simplified Chinese versions of MSSQ-S and MSSQ-L, respectively. In terms of discriminant validity, significant differences were observed between mild and moderate susceptibility groups [0(0, 3) vs 6(2, 10), P=0.006] and between moderate and severe susceptibility groups [6(2, 10) vs 9(6, 13), P=0.030] for the simplified Chinese version of MSSQ-S. Significant differences were also observed between mild and moderate susceptibility groups [5(0, 3) vs 7(3, 10), P=0.001], but not between moderate and severe susceptibility groups [7(3, 10) vs 7(3, 10), P=0.081] for simplified Chinese version of MSSQ-L. The overall predictive accuracy for motion sickness severity improved from 55.6% (50/90) to 62.2% (56/90) for the simplified Chinese version of MSSQ-S and from 54.4% (49/90) to 58.9% (53/90) for the simplified Chinese version of MSSQ-L, but with no statistically significant differences (both P>0.05). Conclusions: The simplified Chinese versions of MSSQ-L and MSSQ-S demonstrates good reliability and validity. The simplified Chinese version of MSSQ-S exhibits satisfactory discriminant validity, and can serve as a simple and efficient tool for assessing motion sickness susceptibility.

The operational development of diagnostic seasickness criteria through a human cyber-physical system.

Thresholds that guide diagnoses of probable and acceptable seasickness levels on board ships are scarcely reported in literature. Motion sickness incidence and motion sickness dose value thresholds exist, but are defined for specific environments, such as naval, or offered merely as optional criteria for ship performance metrics. The presented work communicates a novel means of developing seasickness diagnostic criteria during ship operation, based on observations from shipboard measurement systems and seafarers using an innovative platform. The innovative platform provides personalised seasickness criteria that are accessible during ship operation to estimate the probable level of seasickness on board. Results are compared to that from a traditional method of data acquisition and analyses, post operation, revealing a similar trend in diagnostic threshold magnitudes (13-85 m/s1.5) that can be applicable to voyages with different durations (0.5-6 hr) considering desired levels of seasickness (10-50 %). The seasickness criteria are envisioned to be pertinent for the prediction of probable seasickness levels based on sea state forecasts and ship motion estimation.

Who says you are so sick? An investigation on individual susceptibility to cybersickness triggers using EEG, EGG and ECG.

In this research paper, we conducted a study to investigate the connection between three objective measures: Electrocardio-gram(EGG), Electrogastrogram (EGG), and Electroencephalogram (EEG), and individuals' susceptibility to cybersickness. Our primary objective was to identify which of these factors plays a central role in causing discomfort when experiencing rotations along three different axes: Roll, Pitch, and Yaw. This study involved 35 participants who were tasked with destroying asteroids using their eye gaze while undergoing passive rotations in four separate sessions. The results, when combined with subjective measurements (specifically, Fast motion sickness questionnaire (FMS) and Simulator sickness questionnaire (SSQ) score), demonstrated that EGG measurements were superior in detecting symptoms associated with nausea. As for ECG measurements, our observations did reveal significant changes in Heart Rate Variability (HRV) parameters. However, we caution against relying solely on ECG as a dependable indicator for assessing the extent of cybersickness. Most notably, EEG signals emerged as a crucial resource for discerning individual differences related to these rotational axes. Our findings were significant not only in the context of periodic activities but also underscored the potential of aperiodic activities in detecting the severity of cybersickness and an individual's susceptibility to rotational triggers.

VR.net: A Real-world Dataset for Virtual Reality Motion Sickness Research.

Researchers have used machine learning approaches to identify motion sickness in VR experience. These approaches would certainly benefit from an accurately labeled, real-world, diverse dataset that enables the development of generalizable ML models. We introduce 'VR.net', a dataset comprising 165-hour gameplay videos from 100 real-world games spanning ten diverse genres, evaluated by 500 participants. VR.net accurately assigns 24 motion sickness-related labels for each video frame, such as camera/object movement, depth of field, and motion flow. Building such a dataset is challenging since manual labeling would require an infeasible amount of time. Instead, we implement a tool to automatically and precisely extract ground truth data from 3D engines' rendering pipelines without accessing VR games' source code. We illustrate the utility of VR.net through several applications, such as risk factor detection and sickness level prediction. We believe that the scale, accuracy, and diversity of VR.net can offer unparalleled opportunities for VR motion sickness research and beyond.We also provide access to our data collection tool, enabling researchers to contribute to the expansion of VR.net.

An old approach to a novel problem: effect of combined balance therapy on virtual reality induced motion sickness: a randomized, placebo controlled, double-blinded study.

BACKGROUND: The objective of this study was to investigate the impact of a rehabilitation program aimed at addressing vestibular and proprioceptive deficits, which are believed to underlie the pathophysiology of motion sickness. METHODS: A total of 121 medical students with motion sickness participated in this study and were randomly divided into intervention (n = 60) and placebo control (n = 61) groups. The intervention group underwent combined balance, proprioception, and vestibular training three times a week for 4 weeks, while the control group received placebo training. The study assessed various measurements, including the Virtual reality sickness questionnaire (VRSQ), tolerance duration, enjoyment level measured by VAS, stability levels using Biodex, and balance with the Flamingo balance test (FBT). All measurements were conducted both at baseline and 4 weeks later. RESULTS: There was no significant difference in pre-test scores between the intervention and control groups, suggesting a similar baseline in both groups (p > 0.05). The results showed a significant improvement in VRSQ, tolerance duration, VAS, Biodex, and FBT scores in the intervention group (p < 0.05). While, the control group showed a significant increase only in VAS scores after 4 weeks of training (p < 0.05). A statistically significant improvement was found between the groups for VRSQ (p < 0.001), tolerance duration (p < 0.001), VAS (p < 0.001), Biodex (p = 0.015), and FBT scores (p < 0.05), in favor of the intervention group. CONCLUSIONS: A combined balance training program for motion sickness proves to be effective in reducing motion sickness symptoms, enhancing user enjoyment, and extending the usage duration of virtual reality devices while improving balance and stability. In contrast, placebo training did not alter motion sickness levels. These findings offer valuable insights for expanding the usage of virtual reality, making it accessible to a broader population.

One simple question detects motion sickness susceptibility in migraine patients.

OBJECTIVE: To find out if motion sickness susceptibility (MSS) of vestibular migraine (VM) patients and migraine only (MO) patients can be reliably detected with a single simple question: "Can you read while travelling in a car without getting motion sick?". METHOD: Ninety-two definite VM and 58 MO patients and 74 healthy control (HC) subjects were asked about their MSS and about being able to read while riding in a car without becoming motion sick. A Motion Sickness Susceptibility Questionnaire (MSSQ-Short) including childhood (MSA), adulthood (MSB) and total (MST) parts was also administered to all participants. ROC curves of MSSQ-Short were prepared for "not being able to read in a car" as the gold standard. RESULTS: Mean MSA scores were significantly higher in both VM and MO patients than in HCs (p < 0.001), but their scores were not significantly different (p = 0.171). Mean MSB and MST scores were significantly higher in VM than in MO patients (p < 0.001) and both VM and MO patients had significantly higher scores than HCs (p < 0.001). MSA scores were significantly higher than MSB scores in MO patients (p < 0.001). All sections of the questionnaire were associated with high area-under-curve values for MSS detected by the question about being able to read in a car without becoming motion sick. CONCLUSION: We propose that all migraine patients could have the same level of MSS in childhood but MO patients are able to compensate over years, but VM patients are not. A quick way to determine MSS is to ask about the ability to read without becoming motion sickness while riding a car.

Impact of Visually Induced Motion Sickness from VR Depending on Viewing Patterns, View Movement, and Background Motion.

The impact of visually induced motion sickness from virtual reality (VR) because of viewing patterns, view movements, and background global motion was investigated experimentally through classification into four categories.Each of the ten subjects underwent watching four patterns with bio-signal measurements, such as electrocardiogram and respiration, answering a subjective questionnaire.The results of the subjective evaluation of biological effects indicate that the VR viewing pattern has a significantly lower influence on visually induced motion sickness than other patterns, such as viewing with global background motion or sight motion by operating the controller.Clinical Relevance- This study aimed to reduce the effects of visually induced motion sickness in VR viewing, particularly to reduce the burden on the eyes and body.

Anticholinergic Versus Antihistaminic Treatment for Simulator Sickness Prevention.

Flight simulators have an essential role in aircrew training. Occasionally, symptoms of motion sickness, defined as simulator sickness, develop during these sessions. Preventive methods for motion sickness have been investigated thoroughly; however, only a few studies have examined preventive treatments for simulator sickness. The aim of this study was to examine the efficacy of scopolamine (an anticholinergic drug) compared with cinnarizine (an antihistaminic drug) for helicopter simulator sickness prevention. A validated simulator sickness questionnaire (SSQ) score was used to determine the severity of simulator sickness symptoms in this study. Preliminary SSQ scores and SSQ scores after each sortie were calculated. Each participant was given scopolamine, cinnarizine, or a placebo in a double-blind randomized manner before the first sortie of each training day. Forty-one helicopter pilots participated in the trial. The average age was 30.5 ± 7.1 years. SSQ values significantly improved from an average of 73.30 in the preliminary SSQ questionnaire to an average of 30.92 after 2 hours following the administration of cinnarizine (P = .012, 95%CI 8.071-76.703). Scopolamine was found to be less effective than both cinnarizine and the placebo in the alleviation of simulator sickness symptoms. This study is the first to compare scopolamine with cinnarizine for simulator sickness prevention. Based on the results of this study, we recommend the use of cinnarizine over scopolamine for simulator sickness prevention.

Validating models of sensory conflict and perception for motion sickness prediction.

The human motion perception system has long been linked to motion sickness through state estimation conflict terms. However, to date, the extent to which available perception models are able to predict motion sickness, or which of the employed perceptual mechanisms are of most relevance to sickness prediction, has not been studied. In this study, the subjective vertical model, the multi-sensory observer model and the probabilistic particle filter model were all validated for their ability to predict motion perception and sickness, across a large set of motion paradigms of varying complexity from literature. It was found that even though the models provided a good match for the perception paradigms studied, they could not be made to capture the full range of motion sickness observations. The resolution of the gravito-inertial ambiguity has been identified to require further attention, as key model parameters selected to match perception data did not optimally match motion sickness data. Two additional mechanisms that may enable better future predictive models of sickness have, however, been identified. Firstly, active estimation of the magnitude of gravity appears to be instrumental for predicting motion sickness induced by vertical accelerations. Secondly, the model analysis showed that the influence of the semicircular canals on the somatogravic effect may explain the differences in the dynamics observed for motion sickness induced by vertical and horizontal plane accelerations.

Evaluation of effects of optokinetic and rotational stimuli with functional head impulse test (fHIT) in individuals with motion sickness.

OBJECTIVES: To evaluate effects of optokinetic and rotational stimulus in individuals with and without motion sickness (MS) using fHIT. METHODS: The study included subjects aged 18-40; 35 subjects with MS for MS group and 35 subjects without vertigo for control group. Percentage of the correct answer (% CA) with and without optokinetic stimulus (o-fHIT) in the frontal plane in the fHIT test was compared in both groups. In addition, both group subjects were seated on an ordinary rotating office chair. % CA was compared between groups by applying rotational fHIT (r-fHIT) test after the subjects were rotated randomly to the right and left and also simultaneously moved their heads in the vertical plane. RESULTS: There was no significant difference in % CA in fHIT o-fHIT and r-fHIT in the control group. Both groups showed a significant difference in % CA for fHIT, o-fHIT, and r-fHIT for all SCCs (p < 0.05). CONCLUSIONS: Since individuals with MS are affected by optokinetic and rotational stimuli, fHIT performed after these stimuli can be used as an objective confirming test for diagnosing MS.

Validation of the motion sickness severity scale: Secondary analysis of a randomized, double-blind, placebo-controlled study of a treatment for motion sickness.

BACKGROUND: Motion sickness is characterized by nausea and vomiting among a constellation of symptoms. Symptom severity is dynamic and distressing. Most validated motion sickness scales are time-intensive and effortful, with alternative scales having uncertain performance or non-specific measures. A validated instrument allowing for facile, rapid assessment of core motion sickness symptom severity would therefore be valuable. We assessed the performance of the Motion Sickness Severity Scale (MSSS), a six-item questionnaire designed to measure real-time motion sickness symptoms. METHODS: MSSS construct validity was assessed as a secondary analysis of data from 63 healthy participants without antiemetic treatment in a clinical trial (Unique Identifier = NCT03772340) conducted to evaluate the safety and efficacy of Tradipitant-a novel neurokinin-1 receptor antagonist-in the treatment of motion sickness. Clinical outcome assessments included the MSSS, the Patient Global Impression of Severity (PGI-S), and the Motion Sickness Assessment Questionnaire (MSAQ). The performance of the MSSS through Pearson correlation coefficients, within-group analysis of variance, empirical cumulative distribution functions, and Kolmogorov-Smirnov tests. RESULTS: The MSSS correlated very highly with the PGI-S (r = 0.93, p-value<0.0001) and highly with the MSAQ (r = 0.83, p-value<0.0001). Mean MSSS scores between increasing PGI-S severity levels increased significantly in all four increments (None-to-Mild: p-value = 0.006, Mild-to-Moderate: p-value<0.0001, Moderate-to-Severe: p-value = 0.006, Severe-to-Very-Severe: p-value = 0.002). There were statistically significant differences in MSSS score distributions stratified by PGI-S severity level, with higher MSSS scores associated with higher PGI-S severity levels and lower MSSS scores associated with lower PGI-S severity levels. DISCUSSION: The MSSS is a valid instrument for the assessment of the core motion sickness symptoms and is reflective of global disease severity. Implementation of the MSSS and comparable simplified, short questionnaires in motion sickness research will provide rapid and accurate measures of disease severity. These measures will enable further elucidation of motion sickness as an illness and inform the development and evaluation of motion sickness therapies.

[Research Progress in Physiological Evaluation and Treatment of Visually Induced Motion Sickness in Virtual Reality].

Visually induced motion sickness(VIMS)is the major barrier to be broken in the development of virtual reality(VR)technology,which seriously affects the progress in the VR industry.Therefore,the detection and evaluation of VIMS has become a hot research topic nowadays.We review the progress in physiological assessment of VIMS in VR based on several physiological indicators,including electroencephalogram(EEG),postural sway,eye movements,heart rate variability,and skin electrical signals,and summarize the available therapies,aiming to provide an outlook on the future research directions of VIMS.

Research Progress in Physiological Evaluation and Treatment of Visually Induced Motion Sickness in Virtual Reality / 中国医学科学院学报

Visually induced motion sickness(VIMS)is the major barrier to be broken in the development of virtual reality(VR)technology,which seriously affects the progress in the VR industry.Therefore,the detection and evaluation of VIMS has become a hot research topic nowadays.We review the progress in physiological assessment of VIMS in VR based on several physiological indicators,including electroencephalogram(EEG),postural sway,eye movements,heart rate variability,and skin electrical signals,and summarize the available therapies,aiming to provide an outlook on the future research directions of VIMS.

Motion Sickness related Route Profiling for Evaluation of the Sensory Conflict in Real-Driving Studies.

The risk for passengers of an automated vehicle to suffer from motion sickness symptoms increases while performing non-driving tasks. Motion sickness, whether at sea, in the air, in a car or in virtual reality, has been studied for years, but the specific motion patterns of different vehicles and the individual physiology of passengers complicate the definition of general applicable models. Technical progress in vehicles, e.g. the development of the chassis or general digitalization, is constantly changing the influences and marginal effects of motion sickness. In recent years, increasing number of investigations concentrated on the influencing factors on motion sickness. However, the relation between emesis and vehicle dynamics itself is predominantly inadequately presented. Therefore, the results can poorly be incorporate in mathematical models of the sensory conflict theory established as leading theory in the research community. In our research, we suggest a method to prepare and present route and driving information to increase the transparency of real-world driving experiments. We used determined position-based spectrograms to simplify the understanding of the provoked acceleration as well as frequency, known as important motion sickness trigger. Standardized use of this method would support review articles about driving experiments and thus support research regarding motion sickness prediction and occurrence in vehicles.

Association of Depression With Susceptibility and Adaptation to Seasickness in the Military Seafarers.

BACKGROUND: Although depression and motion sickness are prevalent in military personnel and seafarers, the association between depression and seasickness has been not yet elucidated. We aimed to evaluate the relationship of depression with initial susceptibility and adaptation to seasickness amongst military seafarers. METHODS: This retrospective cohort enrolled Navy seafarers who started seafaring between 2017 and 2019. Three groups were established according to the Beck Depression Inventory (BDI) score: no depression (BDI score of 0), minimal depression (BDI score 1-9), and mild-to-moderate depression (BDI score 10-29). The occurrence of seasickness requiring treatment was observed as the prescription of medication for the first 30 distant seafaring days. Considering adjustment period, the two different outcomes were defined. The susceptibility to seasickness was evaluated via at least one day suffered from seasickness requiring treatment during the early period (the first 5 seafaring days), and adaptation ability to seasickness was defined by more than 10% of the ratio, calculated days suffered from seasickness requiring treatment/days of seafaring during the late period (the 6-30th seafaring days). Binary logistic regression was further evaluated to estimate the odds of BDI groups and BDI score adjusted for age and workplace whether outside visual perception was possible. RESULTS: Among the 185 recruits, 179 participants (97%) sailed for more than 5 days were included in the study. Of the participants, 36% was susceptible to seasickness in the early and 17% was poorly adapted to seasickness in the late period. Multivariable model revealed that mild-to-moderate depression had elevated risk of poor adaptation (odds ratio [OR], 4.63; 95% confidence interval [CI], 1.31-16.98) whereas the results were not statistically significant for susceptibility to seasickness in the early period BDI score was independently associated with increased odds of poor adaptation (OR, 1.10; 95% CI, 1.04-1.18). CONCLUSION: The present study suggests that depression is associated with poor adaptation to seasickness in Navy seafarers. Depression screening tool might be helpful for providing preventable strategies for population at risk.

Estimating objective (EEG) and subjective (SSQ) cybersickness in people with susceptibility to motion sickness.

Cybersickness refers to the uncomfortable side effects, such as headaches, dizziness, and nausea, felt while experiencing virtual reality (VR). This study investigated cybersickness in people with sensitivity to motion sickness using electroencephalography (EEG), the Simulator Sickness Questionnaire (SSQ), and simple VR content. Based on the scores from the Motion Sickness Susceptibility Questionnaire (MSSQ), 40 males in their twenties were selected as the sensitive group (n = 20) and non-sensitive group (n = 20). The experiment contained two conditions: a baseline condition representing a resting state and a cybersickness condition in which watching VR content induced cybersickness. The SSQ score increased significantly after watching the VR content in both groups. The sensitive group showed significantly lower absolute power in the beta and gamma bands than the non-sensitive group. The cybersickness condition showed significantly increased delta and decreased alpha compared to the baseline condition. We evaluated EEG and SSQ to identify subjective symptoms and objective physiological changes associated with cybersickness.

[Development of Visually Induced Motion Sickness Evaluation Index Using Gaze Data of Elderly People].

OBJECTIVES: The benefit of using a noncontact eye-tracking system is its low a burden on individuals for measuring biological signals. The goal of this study was to develop a visually induced motion sickness (VIMS) evaluation index using data collected with a noncontact eye-tracking system for driving simulator (DS) experiments. METHODS: The participants included nine elderly people with visual and balance functions that did not interfere with their daily life. The gaze data of the participants were measured at rest-both before and after DS trials. The participants answered followed up the simulator sickness questionnaire (SSQ) before and after each trial. The participants were divided into two groups on the basis of their SSQ results. One group experienced VIMS during the DS trial (four people; average age, 79.0 years), whereas the other group did not experience it (five people; average age, 71.2 years). RESULTS: The results of VIMS symptoms were confirmed: data concerning the locus of eye-tracking were lengthened, the eye-tracking data were diffused. This experiment demonstrated the usefulness of sparse density as a quantification index based on eye-tracking data in the evaluation of VIMS. CONCLUSIONS: Regarding the application of the findings of this study, it is believed that it will be easier to detect VIMS symptoms induced by DS operations if the index can be used for an eye-tracking data-based evaluation of VIMS.

The effect of migraine and motion sickness on symptoms evoked by the caloric vestibular test.

BACKGROUND: The caloric vestibular test (CVT) may evoke headache and vestibular symptoms in susceptible people. Patients with migraines have higher susceptibility to motion sickness. In migraines, impaired habituation to repetitive stimuli is a well-known interictal abnormality. OBJECTIVE: This study is aimed at evaluating CVT-evoked headache, nausea, vomiting, and imbalance in patients with and without migraine and/or motion sickness. METHODS: A retrospective data analysis was performed on 554 patients with a complaint of dizziness who underwent bithermal CVT at a tertiary referral center. The occurrences of CVT-evoked headache, nausea, vomiting, and imbalance were observed in four groups: patients with only migraine (MG; n = 94), those with only motion sickness (MSG; n = 89), those with migraine and motion sickness (MMSG; n = 122), and those without migraine and motion sickness (non-MMSG; n = 146). The differences between the groups were assessed. RESULTS: The mean ages of groups were similar (p = 0.534). The proportions of females were higher in the MG, MSG, and MMSG (p = 0.001). The severity of nausea and headache for each gender was higher in the MG, MSG, and MMSG (p < 0.001). Vomiting was more common in MMSG among males (p = 0.003), while there was no difference between groups among females (p = 0.099). Imbalance was more common in MMSG among females (p < 0.001). A relationship was detected between age and imbalance (p < 0.001), where an increased risk for imbalance was evident with greater age. Three patients in the MMSG needed hospitalization after CVT. CONCLUSIONS: Special caution is needed when performing caloric testing for patients with migraines or MS since CVT-evoked symptoms may occur with higher incidence and intensity, which might be related to a lack of habituation in neuronal information processing after robust sensory stimuli like CVT.

Head Impulse Test Paradigm and Suppression Head Impulse Test Paradigm in Individuals With and Without Motion Sickness.

Purpose This study aimed to assess the vestibuloocular reflex (VOR) gain using both the Head Impulse Test Paradigm (HIMP) and Suppressive Head Impulse Test Paradigm (SHIMP) in individuals with motion sickness. Method Fifty eight participants (58 females) in the age range of 18-25 years were recruited for the study. The participants were divided into two groups, Group A had 29 participants with no motion sickness, and Group B consisted of 29 individuals who had motion sickness. All the participants underwent HIMP and SHIMP testing. Results None of the participants had a presence of saccades in the HIMP technique, and all the participants in both the groups had anticompensatory saccades in SHIMP technique. Also, there was no difference in VOR gain or VOR gain asymmetry between individuals with and without motion sickness using HIMP and SHIMP Techniques. Conclusions The results of the study show no differences in VOR gain between individuals with and without motion sickness. It has been reported that only low frequencies trigger the motion sickness. Since the Video Head Impulse Test assesses the high frequency, it may not be an ideal technique to evaluate the vestibular system in individuals with motion sickness.

Clinical predictors of cybersickness in virtual reality (VR) among highly stressed people.

The use of virtual reality (VR) in the treatment of psychiatric disorders is increasing, and cybersickness has emerged as an important obstacle to overcome. However, the clinical factors affecting cybersickness are still not well understood. In this study, we investigated clinical predictors and adaptation effect of cybersickness during VR application in highly stressed people. Eighty-three healthy adult participants with high stress level were recruited. At baseline, we conducted psychiatric, ophthalmologic, and otologic evaluations and extracted physiological parameters. We divided the participants into two groups according to the order of exposure to VR videos with different degrees of shaking and repetitively administered the Simulator Sickness Questionnaire (SSQ) and the Fast Motion sickness Scale (FMS). There was no significant difference in changes in the SSQ or the FMS between groups. The 40-59 years age group showed a greater increase in FMS compared to the 19-39 years age group. Smoking was negatively associated with cybersickness, and a high Positive Affect and Negative Affect Schedule score was positively associated with cybersickness. In conclusion, changing the intensity of shaking in VR did not affect cybersickness. While smoking was a protective factor, more expression of affect was a risk factor for cybersickness.