• Journal of Digital Contents Society
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• v.18 no.2
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• pp.283-291
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• 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 Korea Computer Graphics Society
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• v.25 no.1
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• pp.23-32
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• 2019

Cybersickness is a symptom of dizziness that occurs while experiencing Virtual Reality (VR) technology and it is presumed to occur mainly by crosstalk between the sensory and cognitive systems. However, since the sensory and cognitive systems cannot be measured objectively, it is difficult to measure cybersickness. Therefore, methodologies for measuring cybersickness have been studied in various ways. Traditional studies have collected answers to questionnaires or analyzed EEG data using machine learning algorithms. However, the system relying on the questionnaires lacks objectivity, and it is difficult to obtain highly accurate measurements with the machine learning algorithms. In this work, we apply Deep Neural Network (DNN) deep learning algorithm for objective cybersickness measurement from EEG data. We also propose a data preprocessing for learning and network structures allowing us to achieve high performance when learning EEG data with the deep learning algorithms. Our approach provides cybersickness measurement with an accuracy up to 98.88%. Besides, we analyze video characteristics where cybersickness occurs by examining the video segments causing cybersickness in the experiments. We discover that cybersickness happens even in unusually persistent changes in the darkness such as the light in a room keeps switching on and off.

• Science of Emotion and Sensibility
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• v.6 no.1
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• pp.11-16
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• 2003

In this study, we examined the evaluation of virtual Reality (VR) according to the use of motion platform. We recorded electrogastrogram, skin conductance, blood volume, skin temperature, heart rate, and the frequency of eyeblink before, during, after virtual navigation in 33 subjects. We used simulator sickness questionnaire, presence questionnaire , and self-report to evaluate cybersickness and presence in VR system. All subjects experienced VR two times in Motion platform condition and non-Motion platform condition at two-week intervals. Presence score of motion platform condition was greater than non-motion platform condition. The frequency and severity of cybersickness were significantly reduced in motion platform condition than non-motion platform condition. These results suggest that the use of motion platform that synchronizes visual presentation provides higher presence and reduces cybersickness.

• Science of Emotion and Sensibility
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• v.22 no.3
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• pp.3-20
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• 2019

With advancements in technology of virtual reality, it is used for various purposes in many fields such as medical care and healthcare, but as the same time there are also increasing reports of nausea, eye fatigue, dizziness, and headache from users. These symptoms of motion sickness are referred to as cybersickness, and various researches are under way to solve the cybersickness problem because it can cause inconvenience to the user and cause adverse effects such as discomfort or stress. However, there is no official standard for the causes and solutions of cybersickness at present. This is also related to the absence of tools to quantitatively measure the cybersickness. In order to overcome these limitations, this study proposed quantitative and objective cybersickness evaluation method. We measured 128-channel EEG waves from ten participants experiencing visually stimulated virtual reality. We calculated the relative power of delta and alpha in 11 regions (left, middle, right frontal, parietal, occipital and left, right temporal lobe). Multiple regression models were obtained in a stepwise manner with the motion sickness susceptibility questionnaire (MSSQ) scores indicating the susceptibility of the subject to the motion sickness. A multiple regression model with the highest under the area ROC curve (AUC) was derived. In the multiple regression model derived from this study, it was possible to distinguish cybersickness by accuracy of 95.1% with 11 explanatory variables (P_D.MF, P_D.LP, P_D.MP, P_D.RP, P_D.MO, P_A.LF, P_A.MF, P_A.RF, P_A.LP, P_A.RP, P_A.MO). In summary, in this study, objective response to cybersickness was confirmed through 128 channels of EEG. The analysis results showed that there was a clearly distinguished reaction at a specific part of the brain. Using the results and analytical methods of this study, it is expected that it will be useful for the future studies related to the cybersickness.

• Journal of Convergence for Information Technology
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• v.8 no.1
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• pp.131-138
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• 2018

The purpose of the study was to explore whether the Cyber Motion sickness used VR causes a change in the dynamic balance and fall. For 39 people who voluntarily participated in this study, this study measured the motion sickness questionnaires, the heart rate and stability of limit test in BioRescue. The study used Samsung Gear VR and applied the games to the To the homeland. The game proceeded 20minutes. Although the value of the stability after a VR application is slightly reduced, it did not reach statistical significance. The motion sickness questionnaires increased, and it had a statistical significant impact. Also Heart rate increased and it had a statistically significant impact. A virtual reality game affect for getting motion sickness but it did not affect the dynamic balance. So, cyber motion sickness caused by virtual reality wear does not result in decreased balance and falls.

• Journal of the Korea Computer Graphics Society
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• v.28 no.3
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• pp.13-21
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• 2022

In this paper, the goal is to investigate how manipulating the camera can minimize motion sickness and maximize immersion when a user moves in a virtual environment that requires vertical movement. In general, since a user uses virtual reality in a flat space, the actual movement of the user and the virtual movement are different, resulting in sensory conflict, which has the possibility of causing virtual reality motion sickness. Therefore, we propose three powerful camera manipulation techniques, implement them, and then propose which model is most appropriate through user experiments.

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

• Science of Emotion and Sensibility
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• v.26 no.4
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• pp.103-114
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• 2023

Augmented reality (AR) and virtual reality (VR) differ fundamentally, with AR overlaying computer-generated information onto the real world in a nonimmersive way. Despite extensive research on cybersickness in VR, its occurrence in AR has received less attention (Vovk et al., 2018). This study examines cybersickness and discomfort associated with AR usage, focusing on the impact of content intensity and exposure time. Participants viewed 30-minute racing simulation game clips through AR equipment, varying in racing speed to alter content intensity. Cybersickness was assessed subjectively using the Simulator sickness questionnaire (SSQ; Kennedy et al., 1993). Findings revealed a progressive increase in cybersickness with longer exposure, persisting even after removing the AR equipment. Contrarily, content intensity did not significantly influence cybersickness levels. Analysis of the SSQ subscales revealed higher oculomotor (O) scores compared to nausea (N) and disorientation (D), suggesting that discomfort primarily stemmed from oculomotor strain. The study highlights distinct differences in user experience between AR and VR, specifically in subjective responses.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2001.05a
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• pp.156-161
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• 2001

본 연구에서는 45명의 가상현실 사용자들의 가상현실 전, 중, 후의 생리신호의 변화를 관찰하였고 성격, 능력 특성 설문지, 가상현실 평가 설문지를 이용하여 심리적 영향을 알아보았다. 체온의 변화 양상을 기준으로 하여 가상현실 사용자의 심리생리학적 유형을 나누고 유형별 심리적인 반응 특성을 살펴보았다. 1) A 유형: 가상현실 유행동안 체온이 연속적으로 감소하는 유형. 2) B 유형: 가상현실 윤행초기에 체온이 급격히 증가해서 운행동안 서서히 체온이 상승하는 유형. A 유형에 속하는 사용자들의 성격적 특성은 Holland의 성격 유형이론에 근거하여 실제형의 사람들이 많은 것으로 나타났으며 B 유형은 탐구형, 사회형의 사람들이 많은 경향으로 나타났다. 멀미민감도는 A 유형이 B 유형보다 더 크게 나타났다. A, B 유형의 뇌파분석 결과 정중 전두부 (Fz), 정중 중심부 (Cz)에서 베타파, 감마파 상대파워가 유의미한 차이가 있는 것으로 나타났다. 체온의 변화 양상에 따라 나눈 A, B 유형은 성격 및 능력 특성, 멀미민감도에 있어서 유형간 차이가 있는 것으로 나타났다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.01a
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• pp.155-158
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• 2018

VR기기를 착용하고 주변 시야가 차단된 상태로 일정 시간 사용하면, 다소 편차는 있지만 누구에게나 사이버 멀미 현상이 쉽게 일어날 수 있다는 문제점이 VR 관련 콘텐츠 개발자 및 사용자들에게 대두되고 있다. 이 문제를 현시점에서는 완전히 해결할 수는 없지만, 일반적으로 VR 게임을 개발할 때 사전에 숙지해야 할 중요한 부분 중 하나이다. 따라서 사용자가 VR 게임을 체험하기 전에 사이버 멀미를 예방하기 위해, 미리 개발 과정에서부터 사이버 멀미가 일어날 수 있는 변수를 최대한 줄이며 개발하는 여러 가지 방안에 대해 연구하였다. 본 논문에서는 먼저 고려해야 할 사항으로 사이버 멀미 현상이 일어나는 원인을 분석하고, 이를 예방할 수 있는 방법을 모색하여 상용 엔진인 Unity3D를 이용한 VR 게임 개발에 실제로 적용하였다.