Improving motion sickness severity classification through multi-modal data fusion

Dennison, Mark; D’Zmura, Michael; Harrison, Andre; Lee, Michael; Raglin, Adrienne

doi:10.1117/12.2519085

Cited by 17 publications

(16 citation statements)

References 11 publications

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“…Again, we compare the baseline corrected mean values of ( G exp ) and ( G ctrl ), with both time windows being 110 s. A normal respiration rate is shown in our results with no significant difference between ( G exp ) and ( G ctrl ) ( p = .36, t = −0.92). This seems to be consistent with previous research, which has indicated that respiration quality and rhythm relates to susceptibility to MS but not to occurrence or severity 34 . Second, respiration stability was assessed by analyzing the power spectrum using Welch's method.…”

Section: Results and Analysissupporting

confidence: 88%

Exploring neural and peripheral physiological correlates of simulator sickness

Tauscher

Witt

Bosse

et al. 2020

Computer Animation & Virtual

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This article investigates neural and physiological correlates of simulator sickness (SS) through a controlled experiment conducted within a fully immersive dome projection system. Our goal is to establish a reliable, objective, and in situ measurable predictive indicator of SS. SS is a problem common to all types of visual simulators consisting of motion sickness-like symptoms that may be experienced while and after being exposed to a dynamic, immersive visualization. It leads to ethical concerns and impaired validity of simulator-based research. Due to the popularity of virtual reality devices, the number of people exposed to this problem is increasing and, therefore, it is crucial to find reliable predictors of this condition before any symptoms appear. Despite its relevance and the several theories about its origins, SS cannot yet be quantitatively modeled and predicted. Our results indicate that, while neural correlates did not materialize, physiological measures may be a solid early indicator of oncoming SS.

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Section: Results and Analysissupporting

confidence: 88%

Exploring neural and peripheral physiological correlates of simulator sickness

Tauscher

Witt

Bosse

et al. 2020

Computer Animation & Virtual

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“…Critically, the majority of these analyses examine data in a unimodal fashion, where changes in a single sensor system are compared with changes in the level of reported sickness during the experiment, or more commonly, on the SSQ after the experiment has concluded and the user has removed themselves from the XR environment (Dennison & D'Zmura, 2017;Dennison et al, 2016Dennison et al, , 2016Lin et al, 2007). Recent work has demonstrated that the analysis and subsequent extraction of meaningful features from multimodal data can be used to train machine learning models that classify cybersickness severity over time (Dennison et al, 2019). This work has shown that models trained on multimodal data outperform models constructed on only features garnered from unimodal sensor data in the majority of cases.…”

Section: Notedmentioning

confidence: 99%

Identifying Causes of and Solutions for Cybersickness in Immersive Technology: Reformulation of a Research and Development Agenda

Stanney¹,

Lawson

Rokers

et al. 2020

International Journal of Human–Computer Interaction

115

107

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Immersive technologies, such as virtual and augmented reality, initially failed to live up to expectations, but have improved greatly, with many new head-worn displays and associated applications being released over the past few years. Unfortunately, 'cybersickness' remains as a common user problem that must be overcome if mass adoption is to be realized. This article evaluates the state of research on this problem, identifies challenges that must be addressed, and formulates an updated cybersickness research and development (R&D) agenda. The new agenda recommends prioritizing creation of powerful, lightweight, and untethered head-worn displays, reduction of visual latencies, standardization of symptom and aftereffect measurement, development of improved countermeasures, and improved understanding of the magnitude of the problem and its implications for job performance. Some of these priorities are unresolved problems from the original agenda which should get increased attention now that immersive technologies are proliferating widely. If the resulting R&D agenda is carefully executed, it should render cybersickness a challenge of the past and accelerate mass adoption of immersive technologies to enhance training, performance, and recreation.

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“…Future studies with a larger sample, various types of VR hardware, and VR software with substantially more diverse features will offer further insights on the impact of software features on VRISE intensity, as well as provide additional support for the VRNQ’s structural model. Lastly, neuroimaging (e.g., electroencephalography) and physiological data (e.g., heart rates) may correlate, classify, and predict VRISE symptomatology (Kim et al, 2005; Dennison et al, 2016, 2019). Hence, future studies should consider collecting neuroimaging and/or physiological data that could further elucidate the relationship between VRNQ’s VRISE score(s) and brain region activation or cardiovascular responses (e.g., heart rate).…”

Section: Discussionmentioning

confidence: 99%

Validation of the Virtual Reality Neuroscience Questionnaire: Maximum Duration of Immersive Virtual Reality Sessions Without the Presence of Pertinent Adverse Symptomatology

Kourtesis

Collina

Doumas

et al. 2019

Front. Hum. Neurosci.

115

106

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There are major concerns about the suitability of immersive virtual reality (VR) systems (i.e., head-mounted display; HMD) to be implemented in research and clinical settings, because of the presence of nausea, dizziness, disorientation, fatigue, and instability (i.e., VR induced symptoms and effects; VRISE). Research suggests that the duration of a VR session modulates the presence and intensity of VRISE, but there are no suggestions regarding the appropriate maximum duration of VR sessions. The implementation of high-end VR HMDs in conjunction with ergonomic VR software seems to mitigate the presence of VRISE substantially. However, a brief tool does not currently exist to appraise and report both the quality of software features and VRISE intensity quantitatively. The Virtual Reality Neuroscience Questionnaire (VRNQ) was developed to assess the quality of VR software in terms of user experience, game mechanics, in-game assistance, and VRISE. Forty participants aged between 28 and 43 years were recruited (18 gamers and 22 non-gamers) for the study. They participated in 3 different VR sessions until they felt weary or discomfort and subsequently filled in the VRNQ. Our results demonstrated that VRNQ is a valid tool for assessing VR software as it has good convergent, discriminant, and construct validity. The maximum duration of VR sessions should be between 55 and 70 min when the VR software meets or exceeds the parsimonious cut-offs of the VRNQ and the users are familiarized with the VR system. Also, the gaming experience does not seem to affect how long VR sessions should last. Also, while the quality of VR software substantially modulates the maximum duration of VR sessions, age and education do not. Finally, deeper immersion, better quality of graphics and sound, and more helpful in-game instructions and prompts were found to reduce VRISE intensity. The VRNQ facilitates the brief assessment and reporting of the quality of VR software features and/or the intensity of VRISE, while its minimum and parsimonious cut-offs may appraise the suitability of VR software for implementation in research and clinical settings. The findings of this study contribute to the establishment of rigorous VR methods that are crucial for the viability of immersive VR as a research and clinical tool in cognitive neuroscience and neuropsychology.

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Improving motion sickness severity classification through multi-modal data fusion

Cited by 17 publications

References 11 publications

Exploring neural and peripheral physiological correlates of simulator sickness

Exploring neural and peripheral physiological correlates of simulator sickness

Identifying Causes of and Solutions for Cybersickness in Immersive Technology: Reformulation of a Research and Development Agenda

Validation of the Virtual Reality Neuroscience Questionnaire: Maximum Duration of Immersive Virtual Reality Sessions Without the Presence of Pertinent Adverse Symptomatology

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