Discussion Panel: Motion Sickness in Virtual Environments

2018 ◽  
Vol 62 (1) ◽  
pp. 2043-2046 ◽  
Author(s):  
Eric Muth ◽  
Behrang Keshavarz ◽  
L. James Smart ◽  
Richard So ◽  
Sarah Beadle
Keyword(s):  
Virtual Reality ◽  
Virtual Environments ◽  
Motion Sickness ◽  
Postural Sway ◽  
Driving Simulators ◽  
Future Studies ◽  
Psychophysiological Measures ◽  
Induced Motion ◽  
Virtual And Augmented Reality ◽  
Discussion Panel

The purpose of this panel is to provide information on motion sickness in virtual environments and discuss human factors issues associated with visually induced motion sickness. With the continued growth of virtual reality devices comes challenges, one of which is the pervasiveness of motion sickness. A panel of experts on motion sickness will join to discuss how they incite and study sickness in their research, providing lessons on how it can impact other research topics and be avoided in future studies. Panelists use methods such as postural sway, psychophysiological measures, and subjective measures to study different aspects of motion sickness. Technology used by these experts ranges from rotating chairs to high fidelity driving simulators. This panel is oriented for those with simulators who want to know what interventions they can employ to alleviate sickness in their research, those who create virtual environments, and those who use virtual reality devices in their research. Considerations for the design of virtual and augmented reality devices and content will be discussed.

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.

Visually Induced Motion Sickness in Virtual Environments

1992 ◽  
Vol 1 (3) ◽  
pp. 306-310 ◽  
Author(s):  
Lawrence J. Hettinger ◽  
Gary E. Riccio
Keyword(s):  
Virtual Environments ◽  
Motion Sickness ◽  
Visual Representations ◽  
Visual Display ◽  
Critical Issue ◽  
Head Movements ◽  
Visually Induced Motion Sickness ◽  
Induced Motion ◽  
Self Motion ◽  
The Relationship

Visually induced motion sickness is a syndrome that occasionally occurs when physically stationary individuals view compelling visual representations of self-motion. It may also occur when detectable lags are present between head movements and recomputation and presentation of the visual display in helmet-mounted displays. The occurrence of this malady is a critical issue for the future development and implementation of virtual environments. Applications of this emerging technology are likely to be compromised to the extent that users experience illness and/or incapacitation. This article presents an overview of what is currently known regarding the relationship between visually specified self-motion in the absence of inertial displacement and resulting illness and perceptual-motor disturbances.

scholarly journals Motion sickness and sense of presence in a virtual reality environment developed for manual wheelchair users, with three different approaches

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255898
Author(s):  
Zohreh Salimi ◽  
Martin William Ferguson-Pell
Keyword(s):  
Virtual Reality ◽  
Motion Sickness ◽  
Training Session ◽  
Significant Negative Correlation ◽  
Wheelchair Users ◽  
Sense Of Presence ◽  
Central Motion ◽  
Induced Motion ◽  
Virtual Presence ◽  
Assessment Questionnaire

Visually Induced Motion Sickness (VIMS) is a bothersome and sometimes unsafe experience, frequently experienced in Virtual Reality (VR) environments. In this study, the effect of up to four training sessions to decrease VIMS in the VR environment to a minimal level was tested and verified through explicit declarations of all 14 healthy participants that were recruited in this study. Additionally, the Motion Sickness Assessment Questionnaire (MSAQ) was used at the end of each training session to measure responses to different aspects of VIMS. Total, gastrointestinal, and central motion sickness were shown to decrease significantly by the last training session, compared to the first one. After acclimatizing to motion sickness, participants’ sense of presence and the level of their motion sickness in the VR environment were assessed while actuating three novel and sophisticated VR systems. They performed up to four trials of the Illinois agility test in the VR systems and the real world, then completed MSAQ and Igroup Presence Questionnaire (IPQ) at the end of each session. Following acclimatization, the three VR systems generated relatively little motion sickness and high virtual presence scores, with no statistically meaningful difference among them for either MSAQ or IPQ. Also, it was shown that presence has a significant negative correlation with VIMS.

Simulation and Virtual Reality Using Nonlinear Kinematic Parameters as a Means of Predicting Motion Sickness in Real-Time in Virtual Environments

2021 ◽  
pp. 001872082110596
Author(s):  
L. James Smart ◽  
Anthony Drew ◽  
Tyler Hadidon ◽  
Max Teaford ◽  
Eric Bachmann
Keyword(s):  
Virtual Reality ◽  
Real Time ◽  
Motion Sickness ◽  
Prediction Algorithm ◽  
Kinematic Parameters ◽  
Improve Performance ◽  
Wide Range ◽  
Behavioral Parameters ◽  
Accuracy Study ◽  
Induced Motion

Objective This article presents two studies (one simulation and one pilot) that assess a custom computer algorithm designed to predict motion sickness in real-time. Background Virtual reality has a wide range of applications; however, many users experience visually induced motion sickness. Previous research has demonstrated that changes in kinematic (behavioral) parameters are predictive of motion sickness. However, there has not been research demonstrating that these measures can be utilized in real-time applications. Method Two studies were performed to assess an algorithm designed to predict motion sickness in real-time. Study 1 was a simulation study that used data from Smart et al. (2014). Study 2 employed the algorithm on 28 new participants’ motion while exposed to virtual motion. Results Study 1 revealed that the algorithm was able to classify motion sick participants with 100% accuracy. Study 2 revealed that the algorithm could predict if a participant would become motion sick with 57% accuracy. Conclusion The results of the present study suggest that the motion sickness prediction algorithm can predict if an individual will experience motion sickness but needs further refinement to improve performance. Application The algorithm could be used for a wide array of VR devices to predict likelihood of motion sickness with enough time to intervene.

Stereoscopic Viewing Enhances Visually Induced Motion Sickness but Sound Does Not

2012 ◽  
Vol 21 (2) ◽  
pp. 213-228 ◽  
Author(s):  
Behrang Keshavarz ◽  
Heiko Hecht
Keyword(s):  
Virtual Environments ◽  
Motion Sickness ◽  
Video Clip ◽  
Simulator Sickness ◽  
Roller Coaster ◽  
Induced Motion ◽  
Response Measures ◽  
Fast Motion ◽  
3D Presentation ◽  
Precise Simulation

Optic flow in visual displays or virtual environments often induces motion sickness (MS). We conducted two studies to analyze the effects of stereopsis, background sound, and realism (video vs. simulation) on the severity of MS and related feelings of immersion and vection. In Experiment 1, 79 participants watched either a 15-min-long video clip taken during a real roller coaster ride, or a precise simulation of the same ride. Additionally, half of the participants watched the movie in 2D, and the other half in 3D. MS was measured using the Simulator Sickness Questionnaire (SSQ) and the Fast Motion Sickness Scale (FMS). Results showed a significant interaction for both variables, indicating highest sickness scores for the real roller coaster video presented in 3D, while all other videos provoked less MS and did not differ among one another. In Experiment 2, 69 subjects were exposed to a video captured during a bicycle ride. Viewing mode (3D vs. 2D) and sound (on vs. off) were varied between subjects. Response measures were the same as in Experiment 1. Results showed a significant effect of stereopsis; MS was more severe for 3D presentation. Sound did not have a significant effect. Taken together, stereoscopic viewing played a crucial role in MS in both experiments. Our findings imply that stereoscopic videos can amplify visual discomfort and should be handled with care.

scholarly journals Use of Smartphone-Based Head-Mounted Display Devices to View a Three-Dimensional Dissection Model in a Virtual Reality Environment: Pilot Questionnaire Study (Preprint)

2018 ◽  
Author(s):  
Yoshihito Masuoka ◽  
Hiroyuki Morikawa ◽  
Takashi Kawai ◽  
Toshio Nakagohri
Keyword(s):  
Virtual Reality ◽  
Motion Sickness ◽  
3D Model ◽  
Low Cost ◽  
Three Dimensional ◽  
Visually Induced Motion Sickness ◽  
Head Mounted Display ◽  
Eye Fatigue ◽  
Induced Motion ◽  
Observation Environment

BACKGROUND Virtual reality (VR) technology has started to gain attention as a form of surgical support in medical settings. Likewise, the widespread use of smartphones has resulted in the development of various medical applications; for example, Google Cardboard, which can be used to build simple head-mounted displays (HMDs). However, because of the absence of observed and reported outcomes of the use of three-dimensional (3D) organ models in relevant environments, we have yet to determine the effects of or issues with the use of such VR technology. OBJECTIVE The aim of this paper was to study the issues that arise while observing a 3D model of an organ that is created based on an actual surgical case through the use of a smartphone-based simple HMD. Upon completion, we evaluated and gathered feedback on the performance and usability of the simple observation environment we had created. METHODS We downloaded our data to a smartphone (Galaxy S6; Samsung, Seoul, Korea) and created a simple HMD system using Google Cardboard (Google). A total of 17 medical students performed 2 experiments: an observation conducted by a single observer and another one carried out by multiple observers using a simple HMD. Afterward, they assessed the results by responding to a questionnaire survey. RESULTS We received a largely favorable response in the evaluation of the dissection model, but also a low score because of visually induced motion sickness and eye fatigue. In an introspective report on simultaneous observations made by multiple observers, positive opinions indicated clear image quality and shared understanding, but displeasure caused by visually induced motion sickness, eye fatigue, and hardware problems was also expressed. CONCLUSIONS We established a simple system that enables multiple persons to observe a 3D model. Although the observation conducted by multiple observers was successful, problems likely arose because of poor smartphone performance. Therefore, smartphone performance improvement may be a key factor in establishing a low-cost and user-friendly 3D observation environment.

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