Effects of Displays on Visually Controlled Task Performance in Three-Dimensional Virtual Reality Environment

Lin, Chiuhsiang Joe; Chen, Hung‐Jen; Cheng, Ping-Yun; Sun, Tien‐Lung

doi:10.1002/hfm.20566

Cited by 26 publications

(11 citation statements)

References 28 publications

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“…All methods reported can provide a robust measurement. Some researchers have proposed behavioral measurements for CS, including early termination [38] and task competence [35], [39]. Another way to measure CS is to use a subjective measurement.…”

Section: B Motion Sickness Detectionmentioning

confidence: 99%

Using EEG and Deep Learning to Predict Motion Sickness Under Wearing a Virtual Reality Device

et al. 2020

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Virtual Reality (VR) research has been widely applied in many fields. VR promises to deliver the experience that is beyond the user's imagination. One of the advantages of VR is the feeling it gives of being there. VR can provide experiences impossible in the real world, such as flying, diving in deep water, exploring outer space, or living with dinosaurs. Despite the improvements in the software and hardware, the problem of motion sickness remains. We implement a deep learning model to train and predict motion sickness. A questionnaire is a well-known method to measure motion sickness. The weakness of the questionnaire is the measurement carried out after the user experiences motion sickness symptoms. By using the deep learning and EEG, the system will learn and classify motion sickness. The system learns the user's EEG pattern when they begin to feel the sickness symptoms. The system will be trained using deep learning to identify the sickness patterns in the future. By the EEG patterns, the system can predict the sickness symptoms before it occurs. Our model outperforms traditional models in loss values, accuracy, and F-measure metrics in Roller Coaster. With other datasets, our model also performs well. Our model can achieve 82.83% accuracy from the dataset. We also found that the time steps to predict motion sickness during 5 minute periods is a suitable configuration.

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Section: B Motion Sickness Detectionmentioning

confidence: 99%

Using EEG and Deep Learning to Predict Motion Sickness Under Wearing a Virtual Reality Device

et al. 2020

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“…Such choice was dictated by the necessity to limit the length of the questionnaires, with the objective of not tampering with the user experience; however, it may have limited the focus of the study. For instance, it would be interesting for future studies to include an assessment of the level of cybersickness perceived by the player during the gaming experience, because of its possible negative impact on user experience (e.g., Lin, Chen, Cheng, & Sun, 2015; Merhi, Faugloire, Flanagan, & Stoffregen, 2007). Moreover, it would be interesting to deeply investigate the impact of graphic aspects of the video game played in virtual reality as perceived by the users, particularly concerning the effects of colors, contrasts, shapes and level of graphic realism on self-reported emotions and sense of presence (e.g., Naz, Kopper, McMahan, & Nadin, 2017).…”

Section: Limitations and Suggestions For Further Future Researchmentioning

confidence: 99%

Gaming in Virtual Reality: What Changes in Terms of Usability, Emotional Response and Sense of Presence Compared to Non-Immersive Video Games?

Pallavicini

Pepe

Minissi

2019

Simulation & Gaming

176

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Background. Virtual reality can provide innovative gaming experiences for present and future game players. However, scientific knowledge is still limited about differences between player’s experience in video games played in immersive modalities and games played in non-immersive modalities (i.e., on a desktop display). Materials and method. Smash Hit was played by 24 young adults in immersive (virtual reality) and non-immersive (desktop) condition. Self-report questionnaires (VAS-A, VAS-HP, VAS-SP, SUS, SUS-II) and psycho-physiological measures (heart rate and skin conductance) were used to assess usability, emotional response and the reported sense of presence. Results. No statistical differences emerged between the immersive and the non-immersive condition regarding usability and performance scores. The general linear model for repeated measures conducted on VAS-A, VAS-HP, VAS-SP scores for the virtual reality condition supported the idea that playing in the immersive display modality was associated with higher self-reported happiness and surprise; analysis on SUS-II revealed that the perceived sense of presence was higher in the virtual reality condition Discussion and conclusion. The proposed study provides evidence that (a) playing a video game in virtual reality was not more difficult than playing through a desktop display; (b) players showed a more intense emotional response, as assessed by self-report questionnaires and with psycho-physiological indexes (heart rate and skin conductance), after playing in virtual reality versus after playing through the desktop display; (c) the perceived sense of presence was found to be greater in virtual reality as opposed to the non-immersive condition.

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“…Increases in bradygastric activity, respiration rate (Kim et al, 2005; Dennison et al, 2016) heart rate (Nalivaiko et al, 2015), and skin conductance at the forehead (Golding, 1992; Gavgani et al, 2017) provide robust measures of CS. Behavioral signs such as early termination of a VR experience (Kinsella, 2014) and task competence (Lin et al, 2015; Nalivaiko et al, 2015) also indicate the extent to which an individual experiences CS.…”

Section: Introductionmentioning

confidence: 99%

Presence and Cybersickness in Virtual Reality Are Negatively Related: A Review

2019

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In order to take advantage of the potential offered by the medium of virtual reality (VR), it will be essential to develop an understanding of how to maximize the desirable experience of “presence” in a virtual space (“being there”), and how to minimize the undesirable feeling of “cybersickness” (a constellation of discomfort symptoms experienced in VR). Although there have been frequent reports of a possible link between the observer’s sense of presence and the experience of bodily discomfort in VR, the amount of literature that discusses the nature of the relationship is limited. Recent research has underlined the possibility that these variables have shared causes, and that both factors may be manipulated with a single approach. This review paper summarizes the concepts of presence and cybersickness and highlights the strengths and gaps in our understanding about their relationship. We review studies that have measured the association between presence and cybersickness, and conclude that the balance of evidence favors a negative relationship between the two factors which is driven principally by sensory integration processes. We also discuss how system immersiveness might play a role in modulating both presence and cybersickness. However, we identify a serious absence of high-powered studies that aim to reveal the nature of this relationship. Based on this evidence we propose recommendations for future studies investigating presence, cybersickness, and other related factors.

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Effects of Displays on Visually Controlled Task Performance in Three-Dimensional Virtual Reality Environment

Cited by 26 publications

References 28 publications

Using EEG and Deep Learning to Predict Motion Sickness Under Wearing a Virtual Reality Device

Using EEG and Deep Learning to Predict Motion Sickness Under Wearing a Virtual Reality Device

Gaming in Virtual Reality: What Changes in Terms of Usability, Emotional Response and Sense of Presence Compared to Non-Immersive Video Games?

Presence and Cybersickness in Virtual Reality Are Negatively Related: A Review

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