The best way to assess visually induced motion sickness in a fixed-base driving simulator

2017 ◽  
Vol 48 ◽  
pp. 74-88 ◽  
Author(s):  
René Reinhard ◽  
Hans M. Rutrecht ◽  
Patricia Hengstenberg ◽  
Ender Tutulmaz ◽  
Britta Geissler ◽  
...  
Keyword(s):  
Motion Sickness ◽  
Driving Simulator ◽  
Visually Induced Motion Sickness ◽  
Fixed Base ◽  
Induced Motion

Effects of Visually Induced Motion Sickness on Emergency Braking Reaction Times in a Driving Simulator

2019 ◽  
Vol 61 (6) ◽  
pp. 1004-1018
Author(s):  
René Reinhard ◽  
Ender Tutulmaz ◽  
Hans M. Rutrecht ◽  
Patricia Hengstenberg ◽  
Britta Geissler ◽  
...  
Keyword(s):  
Motion Sickness ◽  
Mixed Model ◽  
Driving Simulator ◽  
Reaction Times ◽  
Visually Induced Motion Sickness ◽  
The Road ◽  
Emergency Braking ◽  
Fixed Base ◽  
Induced Motion ◽  
Relationship Of

Objective: The study explores associations of visually induced motion sickness (VIMS) with emergency braking reaction times (RTs) in driving simulator studies. It examines the effects over the progression of multiple simulated drives. Background: Driving simulator usage has many advantages for RT studies; however, if it induces VIMS, the observed driving behavior might deviate from real-world driving, potentially masking or skewing results. Possible effects of VIMS on RT have long been entertained, but the progression of VIMS across simulated drives has so far not been sufficiently considered. Method: Twenty-eight adults completed six drives on 2 days in a fixed-base driving simulator. At five points during each drive, pedestrians entered the road, necessitating emergency braking maneuvers. VIMS severity was assessed every minute using the 20-point Fast Motion Sickness Scale. The progression of VIMS was considered in mixed model analyses. Results: RT predictions were improved by considering VIMS development over time. Here, the relationship of VIMS and RT differed across days and drives. Increases in VIMS symptom severity predicted more prolonged RT after repeated drives on a given day and earlier within each drive. Conclusion: The assessment of VIMS in RT studies can be beneficial. In this context, VIMS measurements in close temporal proximity to the behaviors under study are promising and offer insights into VIMS and its consequences, which are not readily obtainable through questionnaires. Application: Driving simulator–based RT studies should consider cumulative effects of VIMS on performance. Measurement and analysis strategies that consider the time-varying nature of VIMS are recommended.

scholarly journals A Pilot Study on Electroencephalogram-based Evaluation of Visually Induced Motion Sickness

2020 ◽  
Vol 64 (2) ◽  
pp. 20501-1-20501-10
Author(s):  
Ran Liu ◽  
Miao Xu ◽  
Yanzhen Zhang ◽  
Eli Peli ◽  
Alex D. Hwang
Keyword(s):  
Virtual Reality ◽  
Standard Deviation ◽  
Motion Sickness ◽  
Driving Simulator ◽  
Visually Induced Motion Sickness ◽  
Power Spectral ◽  
Wearable Eeg ◽  
Eeg Data ◽  
Induced Motion ◽  
Electroencephalogram Eeg

Abstract The most prominent problem in virtual reality (VR) technology is that users may experience motion-sickness-like symptoms when they immerse into a VR environment. These symptoms are recognized as visually induced motion sickness (VIMS) or virtual reality motion sickness. The objectives of this study were to investigate the association between the electroencephalogram (EEG) and subjectively rated VIMS level (VIMSL) and find EEG markers for VIMS evaluation. A VR-based vehicle-driving simulator was used to induce VIMS symptoms, and a wearable EEG device with four electrodes (the Muse) was used to collect EEG data. The results suggest that individual tolerance, susceptibility, and recoverability to VIMS varied largely among subjects; the following markers were shown to be significantly different from no-VIMS and VIMS states (P < 0.05): (1) means of gravity frequency (GF) for theta@FP1, alpha@TP9, alpha@FP2, alpha@TP10, and beta@FP1; (2) standard deviation of GF for alpha@TP9, alpha@FP1, alpha@FP2, alpha@TP10, and alpha@(FP2‐FP1); (3) standard deviation of power spectral entropy for FP1; (4) means of Kolmogorov complexity (KC) for TP9, FP1, and FP2. These results also demonstrate that it is feasible to perform VIMS evaluation using an EEG device with a few electrodes.

Visually-induced motion sickness: An experimental investigation

2004 ◽  
Author(s):  
Mustapha Mouloua ◽  
Janan Smither ◽  
Robert C. Kennedy ◽  
Robert S. Kenned ◽  
Dan Compton ◽  
...  
Keyword(s):  
Experimental Investigation ◽  
Motion Sickness ◽  
Visually Induced Motion Sickness ◽  
Induced Motion

Passive restraint reduces visually induced motion sickness in older adults.

2017 ◽  
Vol 23 (1) ◽  
pp. 85-99 ◽  
Author(s):  
Behrang Keshavarz ◽  
Alison C. Novak ◽  
Lawrence J. Hettinger ◽  
Thomas A. Stoffregen ◽  
Jennifer L. Campos
Keyword(s):  
Older Adults ◽  
Motion Sickness ◽  
Visually Induced Motion Sickness ◽  
Passive Restraint ◽  
Induced Motion

scholarly journals The effect of water immersion on vection in virtual reality

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Géraldine Fauville ◽  
Anna C. M. Queiroz ◽  
Erika S. Woolsey ◽  
Jonathan W. Kelly ◽  
Jeremy N. Bailenson
Keyword(s):  
Virtual Reality ◽  
Motion Sickness ◽  
Water Immersion ◽  
Sensory Information ◽  
Future Research ◽  
Visually Induced Motion Sickness ◽  
Wide Range ◽  
Induced Motion ◽  
Ground Condition ◽  
The Impact

AbstractResearch about vection (illusory self-motion) has investigated a wide range of sensory cues and employed various methods and equipment, including use of virtual reality (VR). However, there is currently no research in the field of vection on the impact of floating in water while experiencing VR. Aquatic immersion presents a new and interesting method to potentially enhance vection by reducing conflicting sensory information that is usually experienced when standing or sitting on a stable surface. This study compares vection, visually induced motion sickness, and presence among participants experiencing VR while standing on the ground or floating in water. Results show that vection was significantly enhanced for the participants in the Water condition, whose judgments of self-displacement were larger than those of participants in the Ground condition. No differences in visually induced motion sickness or presence were found between conditions. We discuss the implication of this new type of VR experience for the fields of VR and vection while also discussing future research questions that emerge from our findings.

The efficacy of airflow and seat vibration on reducing visually induced motion sickness

2017 ◽  
Vol 235 (9) ◽  
pp. 2811-2820 ◽  
Author(s):  
Sarah D’Amour ◽  
Jelte E. Bos ◽  
Behrang Keshavarz
Keyword(s):  
Motion Sickness ◽  
Visually Induced Motion Sickness ◽  
Induced Motion ◽  
Seat Vibration
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