• Journal of the Institute of Convergence Signal Processing
• /
• v.20 no.1
• /
• pp.1-8
• /
• 2019

Motion sickness is dizziness symptom that occurs when movement detected in the vestibular organ and movement detected visually are collide with each other. When dizziness occurs, user complains of symptoms such as nausea and vomiting, sense of direction abnormality, and fatigue. These causes of dizziness are various and difficult to differentiate and treat the symptoms. Especially, among the types of dizziness VIMS(Visually Induced Motion Sickness) is a problem to solve in developing VR industry. These VIMS analysis can be done through user's vital signs measurement and feature analysis, and EEG characteristics analysis. Therefore, this paper is discuss the minimization of motion sickness caused by visual information based on EEG signal and present research trends related to it.

• 한국정보디스플레이학회:학술대회논문집
• /
• 2007.08b
• /
• pp.1131-1134
• /
• 2007

To prevent biological influence of images upon viewers, we investigated the characteristics features of images and of viewing environments which can cause photosensitivity seizures and visually-induced motion sickness, and developed some methods of detection and conversion of images that can cause such influence.

• Journal of the HCI Society of Korea
• /
• v.9 no.1
• /
• pp.11-21
• /
• 2014

We present an experimental framework to analyze the physical reactions and causal factors of Visually Induced Motion Sickness (VIMS) using electroencephalography (EEG) signals and vital signs. We studied eleven subjects who are voluntarily participated in the experiments and conducted online and offline surveys. In order to simulate videos including global motions that could cause the motion sickness, we extracted global motions by optical flow estimation method from hand-held captured video recordings containing intense motions. Then, we applied the extracted global motions to our test videos with action movies and texts. Each genre of video includes three levels of different motions depending on its intensity. EEG signal and vital sign that were measured by a portable electrocorticography device and an electronic monometer in real time while the subjects watch the videos including ones with the extracted motions. We perform an analysis of the EEG signals using Distance Map(DM) calculated by correlation among each channel of brain signal. Analysis using the vital signs and the survey results is also performed to obtain relationship between the VIMS and causal factors. As a result, we clustered subjects into three groups based on the analysis of the physical reaction using the DM and the correlation between vital sign and survey results, which shows high relationships between the VIMS and the intensity of motions.

• Journal of Digital Contents Society
• /
• v.18 no.2
• /
• pp.283-291
• /
• 2017

Though new body movement based input system immerged in Virtual Reality (VR), VR still has a visually induced motion sickness (VIMS) problem to be accepted for users. VIMS are caused by changes in visually perceived movement that discord with vestibular system's sense of movement. Not only Head-body movements, but also hand gestures to make commands and torso movement can affect visual movement perception by enhancing immersion and its psychological product; presence. The question arises does whole body movement and hand gesture to make commands are more dominant to arousal, presence, and VIMS? To address this question, we conducted "2 (IV1; head-body movements only vs. whole body movements) * 1" between subject design experiment. The results showed that significant effect on whole body movements and arousal, marginally significant effect on presence. Eyewear usage was a moderator between hand gesture and presence relationship.

• Journal of the Institute of Convergence Signal Processing
• /
• v.19 no.3
• /
• pp.133-138
• /
• 2018

VR technology is a technology that allows a user to experience virtual reality close to reality by wearing an HMD (Head Mounted Display) device. Recently, as the interest in VR technology increases due to the 4th industrial revolution, various HMD devices are spreading. As a result, VR technology is being rapidly applied to various fields, but many of them still experience VR nausea. VR nausea is caused mainly by visual factors, unlike motion nausea, such as car nausea, sea nausea, and air nausea. Such occurrence of VR nausea may be caused by the characteristics of visual information of VR video contents, the hardware characteristics of HMD devices blocking the external visual field, or the physical specificity of individuals, and it is difficult to distinguish the causes. In this paper, we aim to analyze the characteristics of Visually Induced Motion Nausea images focusing on VR video content, which is the cause of VR nausea, in order to search for minimization of Cyber sickness occurrence.

• Journal of KIISE
• /
• v.45 no.3
• /
• pp.251-279
• /
• 2018

Users can experience cybersickness when interacting with virtual reality (VR). The symptoms of cybersickness are similar to those of motion sickness which include eye fatigue, disorientation, and nausea. Despite the longstanding interest of user's discomfort, inconsistent results have been drawn on the underlying mechanisms and solutions of cybersickness. In this study, we propose an integrated view of cybersickness connecting causes of the symptoms, human perception model, and measurements of cybersickness. Cybersickness-related factors of previous research are reorganized into content, hardware, and human factors as well as analyzed in terms of VR fidelity. Also, pros and cons that measure the degree of cybersickness are discussed.

• Journal of the Ergonomics Society of Korea
• /
• v.32 no.2
• /
• pp.207-215
• /
• 2013

Objective: This study aimed to investigate important human factors that should be considered when developing ultra-high definition TVs by reviewing measurement methods and main characteristics of ultra-high definition displays. Background: Although much attention has been paid to high-definition displays, there have been few studies for systematically evaluating human factors. Method: In order to determine human factors to be considered in developing human-friendly displays, we reviewed subjective and objective measurement methods to figure out the current limitations and establish a guideline for developing human-centered ultra-high definition TVs. In doing so, pros and cons of both subjective and objective measurement methods for assessing humans factors were discussed and specific aspects of ultra-high definition displays were also investigated in the literature. Results: Hazardous effects such as visually-induced motion sickness, visual fatigue, and mental fatigue in the brain caused by undesirable TV viewing are induced by not only temporal decay of visual function but also cognitive load in processing sophisticated external information. There has been a growing evidence that individual differences in visual and cognitive ability to process external information can make contrary responses after exposing to the same viewing situation. A wide vision, ultra-high definition TVs provide, can has positive and negative influences on viewers depending on their individual characteristics. Conclusion: Integrated measurement methods capable of considering individual differences in human visual system are required to clearly determine potential effects of super-high vision displays with a wide view on humans. All of brainwaves, autonomic responses, eye functions, and psychological responses should be simultaneously examined and correlated. Application: The results obtained in this review are expected to be a guideline for determining optimized viewing factors of ultra-high definition displays and accelerating successful penetration of the next-generation displays into our daily life.