The structure of the superior and inferior parietal lobes predicts inter-individual suitability for virtual reality

Hosoda, Chihiro; Futami, Kyosuke; Hosokawa, Kiyoshi; Isogaya, Yuko; Terada, Tsutomu; Maruya, Kazushi; Okanoya, Kazuo

doi:10.1038/s41598-021-02957-x

Cited by 5 publications

(2 citation statements)

References 67 publications

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“…It has been reported that the feeling of being spatially located in the virtual environment differs between individuals and is related to differences in one's general spatial abilities (Coxon et al, 2016 ). More recently, it was also reported that there are individual differences in the rate of improvement through VR training in sports, and that these differences can be explained by differences in the structure of brain regions related to stereopsis and depth perception (Hosoda et al, 2021 ). In the current study, one of the ten batters showed a lower delta onset in VR than in the real environment (positioned at the upper left in Figure 2A ).…”

Section: Discussionmentioning

confidence: 99%

Simplified Virtual Reality System Can Be Used to Evaluate the Temporal Discrimination Ability in Softball Batting as in the Real Environment

Nasu¹,

Baba²,

Imamura³

et al. 2022

Front. Sports Act. Living

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Recently, virtual reality (VR) technology has developed rapidly and has increasingly come to be used in the sports field. VR technology ranges from large, highly immersive devices to simple devices such as smartphones, and the respective usefulness and shortcomings of different device types have been debated. Simple devices have advantages such as portability, but also provide only a weak sense of realism. It is important to understand the purpose and extent to which VR technologies can be used. Our purpose in this study was to briefly measure one of the cognitive-motor abilities used in softball batting: temporal discrimination ability in swing onset when a batter faces two types of balls thrown at different speeds. We investigated whether a simplified head-mounted display (HMD) system can evaluate such cognitive-motor ability to the same extent as in a real environment. Ten elite female softball batters swung at fastballs and slowballs randomly thrown by the same pitcher in both real and 3D VR environments, with the same range of trajectories. We then compared the temporal discrimination ability of swing onset analyzed by video analysis between environments. We found that the discrimination ability in VR is almost the same as in reality. In addition, questionnaire items on the VR system related to user experience and cybersickness showed overall promising responses. However, we also found that the system had some issues that need to be considered, such as leading to early swing onset and large variability in it. We discussed the usefulness and limitations of the VR system by combining the results for swing onset with the questionnaire responses. By understanding the characteristics of VR technology and using it as an efficient evaluation and training of players, the sports field can make significant progress.

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Section: Discussionmentioning

confidence: 99%

Simplified Virtual Reality System Can Be Used to Evaluate the Temporal Discrimination Ability in Softball Batting as in the Real Environment

Nasu¹,

Baba²,

Imamura³

et al. 2022

Front. Sports Act. Living

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show abstract

“…Detecting this trait within the healthy population (whereby variability exists; Samuel et al, 2022 ) can improve screening and diagnostic protocols. Likewise, many remediation programs now employ virtual reality: suitability for these approaches is affected by structural variability in parietal areas (Hosoda et al, 2021 ). Assessing skills relying on parietal functioning may thus help singling out which individuals will benefit from these therapies.…”

Section: Discussionmentioning

confidence: 99%

Vulnerability factors and neuropsychiatric disorders: What could be learned from individual variability in cognitive functions

Daprati

Nico

2022

Front. Psychol.

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Machine learning based classification of presence utilizing psychophysiological signals in immersive virtual environments

Saha,

Dobbins,

Gupta

et al. 2024

Sci Rep

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In Virtual Reality (VR), a higher level of presence positively influences the experience and engagement of a user. There are several parameters that are responsible for generating different levels of presence in VR, including but not limited to, graphical fidelity, multi-sensory stimuli, and embodiment. However, standard methods of measuring presence, including self-reported questionnaires, are biased. This research focuses on developing a robust model, via machine learning, to detect different levels of presence in VR using multimodal neurological and physiological signals, including electroencephalography and electrodermal activity. An experiment has been undertaken whereby participants (N = 22) were each exposed to three different levels of presence (high, medium, and low) in a random order in VR. Four parameters within each level, including graphics fidelity, audio cues, latency, and embodiment with haptic feedback, were systematically manipulated to differentiate the levels. A number of multi-class classifiers were evaluated within a three-class classification problem, using a One-vs-Rest approach, including Support Vector Machine, k-Nearest Neighbour, Extra Gradient Boosting, Random Forest, Logistic Regression, and Multiple Layer Perceptron. Results demonstrated that the Multiple Layer Perceptron model obtained the highest macro average accuracy of $$93\pm 0.03\%$$ 93 ± 0.03 % . Posthoc analysis revealed that relative band power, which is expressed as the ratio of power in a specific frequency band to the total baseline power, in both the frontal and parietal regions, including beta over theta and alpha ratio, and differential entropy were most significant in detecting different levels of presence.

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The structure of the superior and inferior parietal lobes predicts inter-individual suitability for virtual reality

Cited by 5 publications

References 67 publications

Simplified Virtual Reality System Can Be Used to Evaluate the Temporal Discrimination Ability in Softball Batting as in the Real Environment

Simplified Virtual Reality System Can Be Used to Evaluate the Temporal Discrimination Ability in Softball Batting as in the Real Environment

Vulnerability factors and neuropsychiatric disorders: What could be learned from individual variability in cognitive functions

Machine learning based classification of presence utilizing psychophysiological signals in immersive virtual environments

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