I think I don’t feel sick: Exploring the Relationship Between Cognitive Demand and Cybersickness in Virtual Reality using fNIRS

Pöhlmann, Katharina Margareta Theresa; Maior, Horia A.; Föcker, Julia; O’Hare, Louise; Parke, Adrian; Landowska, Aleksandra; Dickinson, Patrick

doi:10.1145/3544548.3581063

Cited by 8 publications

(6 citation statements)

References 104 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“… 110 Strategies employed in the reviewed studies included adopting lower low-pass temporal filtering cutoff frequencies (e.g., 0.1 or 0.2 Hz) 28 , 32 , 42 , 44 – 47 , 51 , 53 , 55 , 60 , 61 in contrast to the recommended 0.5Hz, 111 various motion correction methods, 35 , 38 , 39 , 44 , 55 , 56 , 62 principal component analysis for signal component separation, 57 , 61 and pre-whitening and least-square regression-based approaches to eliminate intrinsic signal auto-correlations. 33 , 54 , 58 , 59 Some studies incorporated additional measures to account for systemic physiological effects, such as the inclusion of short-separation fNIRS channels. 49 , 54 However, this practice was not common, potentially due to constraints related to limited head space and the complexity of system setups necessitated by the integration of both fNIRS and iVR hardware.…”

Section: Discussionmentioning

confidence: 99%

“… 33 , 54 , 58 , 59 Some studies incorporated additional measures to account for systemic physiological effects, such as the inclusion of short-separation fNIRS channels. 49 , 54 However, this practice was not common, potentially due to constraints related to limited head space and the complexity of system setups necessitated by the integration of both fNIRS and iVR hardware. Efforts to refine and standardize methodologies in handling physiological interferences and motion artifacts will be essential for advancing the robustness of iVR-fNIRS investigations.…”

Section: Discussionmentioning

confidence: 99%

“…Pöhlmann et al. 54 conducted a similar experiment involving a virtual rollercoaster scenario but introduced simultaneous working memory tasks within the iVR environment. They observed activations in the right DLPFC of their participants during both the memory tasks and periods when cybersickness was experienced.…”

Section: Applications Of Ivr-fnirs In Neuroscience Research and Therapymentioning

confidence: 99%

See 2 more Smart Citations

iVR-fNIRS: studying brain functions in a fully immersive virtual environment

Peng,

Moussavi,

Karunakaran

et al. 2024

Neurophoton.

View full text Add to dashboard Cite

. Immersive virtual reality (iVR) employs head-mounted displays or cave-like environments to create a sensory-rich virtual experience that simulates the physical presence of a user in a digital space. The technology holds immense promise in neuroscience research and therapy. In particular, virtual reality (VR) technologies facilitate the development of diverse tasks and scenarios closely mirroring real-life situations to stimulate the brain within a controlled and secure setting. It also offers a cost-effective solution in providing a similar sense of interaction to users when conventional stimulation methods are limited or unfeasible. Although combining iVR with traditional brain imaging techniques may be difficult due to signal interference or instrumental issues, recent work has proposed the use of functional near infrared spectroscopy (fNIRS) in conjunction with iVR for versatile brain stimulation paradigms and flexible examination of brain responses. We present a comprehensive review of current research studies employing an iVR-fNIRS setup, covering device types, stimulation approaches, data analysis methods, and major scientific findings. The literature demonstrates a high potential for iVR-fNIRS to explore various types of cognitive, behavioral, and motor functions in a fully immersive VR (iVR) environment. Such studies should set a foundation for adaptive iVR programs for both training (e.g., in novel environments) and clinical therapeutics (e.g., pain, motor and sensory disorders and other psychiatric conditions).

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Applications Of Ivr-fnirs In Neuroscience Research and Therapymentioning

confidence: 99%

See 1 more Smart Citation

iVR-fNIRS: studying brain functions in a fully immersive virtual environment

Peng,

Moussavi,

Karunakaran

et al. 2024

Neurophoton.

View full text Add to dashboard Cite

show abstract

“…The significance level was set at p < 0.05. Contrast analysis was used to assess differences between conditions (similar to [41]). Significance analysis on emotional and subjective data was also conducted based on ANOVA with Tukey post hoc tests.…”

Section: Discussionmentioning

confidence: 99%

“…There are a variety of BCI techniques such as fNIRS -that makes use of near infrared light to measure brain activity, fMRI -which relies on strong magnetic fields, and EEGwhich measures the electrical charge of our brain using electrodes placed on the scalp. fNIRS has been used to evaluate various tasks ranging from remotely operating vehicles [14], mental arithmetic [41] and other complex cognition tasks such as work activities [34], video games [23], virtual reality [41], or movie watching [28]. Compared with other techniques previously mentioned, fNIRS is more portable than fMRI and more resilient to motion artefacts than EEG, making this technique particularly useful to study users in naturalistic settings.…”

Section: Introductionmentioning

confidence: 99%

The Power of Fear: Exploring the Neural Responses to Horror Scenes in Different Audiovisual Modes

Liang,

Landowska,

Ramchurn

et al. 2023

RoCHI - International Conference on Human-Computer Interaction

View full text Add to dashboard Cite

Neurocinematics is an emerging interdisciplinary field at the intersection between Human-Computer Interaction, Brain-Computer Interfaces (BCI), and cinematics, that explores the use of brain and physiological data (such as functional Near Infrared Spectroscopy (fNIRS)), to evaluate a variety of media content. While many studies focused on comparing features of physiological activity between genres, this study aims to examine the cinematic content in the same genre but in different modes. Specifically, we are interested in the brain responses to audio and visual content, which have a similar emotional impact, in horror movies. Using non-invasive brain monitoring devices (fNIRS) targeting participants' prefrontal cortex, we collected and analysed their brain activity responses in comparison to subjective experience while watching a series of horror video clips. The results show changes in cognitive and emotional responses during the A, audio only modes, V, visual only modes, and M, audio and visual together modes for the horror stimulus, across fNIRS and subjective data. Our results are in line previous findings and bring novel insights into how brain activity can help researchers evaluate audio-visual content and promise an exciting future for adaptive horror experiences.

show abstract

CDMS: A real-time system for EEG-guided cybersickness mitigation through adaptive adjustment of VR content factors

Uyan,

Celikcan

2024

Displays

View full text Add to dashboard Cite

I think I don’t feel sick: Exploring the Relationship Between Cognitive Demand and Cybersickness in Virtual Reality using fNIRS

Cited by 8 publications

References 104 publications

iVR-fNIRS: studying brain functions in a fully immersive virtual environment

iVR-fNIRS: studying brain functions in a fully immersive virtual environment

The Power of Fear: Exploring the Neural Responses to Horror Scenes in Different Audiovisual Modes

CDMS: A real-time system for EEG-guided cybersickness mitigation through adaptive adjustment of VR content factors

Contact Info

Product

Resources

About