Data-Driven Spatio-Temporal Analysis via Multi-Modal Zeitgebers and Cognitive Load in VR

Liao, Haodong; Xie, Ning; Li, Huiyuan; Li, Yuhang; Su, Jianping; Jiang, Feng; Huang, Wenyan; Shen, Heng Tao

doi:10.1109/vr46266.2020.00068

Cited by 9 publications

(4 citation statements)

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“…Not only because many IVEs (Immersive Virtual Environments) support near-natural audio-visual stimuli(Figure 2), similar to those we generate in the physical world, but also most physical parameters can be modified in VR environment [18]. The basis and rationale for the classification in (Figure 2) will be explained in later sections Our work is inspired by [17], in which Liao et al study various zeitgebers for their experiments. For example, Liao divides the zeitgeber into auditory and visual, while this paper divides them into short-time and long-time.…”

Section: Related Workmentioning

confidence: 98%

“…In recent years, the rapid development of VR (Virtual Reality) technology makes us start thinking about whether the zeitgeber, which has been widely used in the physical world, can also affect the virtual world. However, some researches have shown that situation in VR is different [17]. On the other hand, the application of zeitgeber in VR has much greater potential than in the physical world.…”

Section: Related Workmentioning

confidence: 99%

“…For former, even in some studies [17], cognitive load is considered as a parallel factor to zeitgeber, but we take it as an important zeitgeber [38]. Related research has also been applied to the safe driving system, using professional eye tracker and external conditions to judge the intensity of cognitive load, and then infer the reaction time to cope with different cognitive load in real road conditions [38].…”

Section: Psychological Cognitive Effect Zeitgebers: Cognitive Load An...mentioning

confidence: 99%

See 2 more Smart Citations

The Time Perception Control and Regulation in VR Environment

Liu¹,

Shi²,

He³

et al. 2021

Preprint

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To adapt to different environments, human circadian rhythms will be constantly adjusted as the environment changes, which follows the principle of survival of the fittest. According to this principle, objective factors (such as circadian rhythms, and light intensity) can be utilized to control time perception. The subjective judgment on the estimation of elapsed time is called time perception. In the physical world, factors that can affect time perception, represented by illumination, are called the Zeitgebers. In recent years, with the development of Virtual Reality (VR) technology, effective control of zeitgebers has become possible, which is difficult to achieve in the physical world.

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Section: Related Workmentioning

confidence: 98%

Section: Related Workmentioning

confidence: 99%

Section: Psychological Cognitive Effect Zeitgebers: Cognitive Load An...mentioning

confidence: 99%

See 1 more Smart Citation

The Time Perception Control and Regulation in VR Environment

Liu¹,

Shi²,

He³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Furthermore, we would like to apply EEG into a more realistic practical research framework with crossmodal [32,33] and multitask [34] in action recognition [31] and HCI in VR [35].…”

Section: Future Workmentioning

confidence: 99%

Attention Optimization Method for EEG via the TGAM

Xie

2020

Computational and Mathematical Methods in Medicine

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Since the 21st century, noninvasive brain-computer interface (BCI) has developed rapidly, and brain-computer devices have gradually moved from the laboratory to the mass market. Among them, the TGAM (ThinkGear Asic Module) and its encapsulate algorithm have been adopted by many research teams and faculty members around the world. However, due to the limited development cost, the effectiveness of the algorithm to calculate data is not satisfactory. This paper proposes an attention optimization algorithm based on the TGAM for EEG data feedback. Considering that the data output of the TGAM encapsulate algorithm fluctuates greatly, the delay is high and the accuracy is low. The experimental results demonstrated that our algorithm can optimize EEG data, so that with the same or even lower delay and without changing the encapsulate algorithm of the module itself, it can significantly improve the performance of attention data, greatly improve the stability and accuracy of data, and achieve better results in practical applications.

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Cognitive load, fatigue and aversive simulator symptoms but not manipulated zeitgebers affect duration perception in virtual reality

Sabat

Haładus

Klincewicz

et al. 2022

Sci Rep

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The perceived duration of an interval depends on numerous aspects of the passed event both endogenous, including physiological arousal, level of wakefulness, attention, and surprise, as well as exogenous such as valence, salience, or context in the environment. There is some evidence that "time-giving" cues from the environment (zeitgebers) are coupled with time perception. The movement of the sun on the horizon was demonstrated to affect interval perception in a study conducted by Schatzschneider et al. (2016) claiming that the sun’s motion is a zeitgeber that influences time perception. In the present study, we undertake the first to our knowledge replication of this effect, extending the analysis to confounding aspects of the used paradigm. We aimed to test the effect of immersion, cognitive load, and changes in the speed of the sun on the horizon of the virtual environment on the perceived interval duration. We did not replicate the original effect, as reported by Schatzschneider et al., however, we did find that the perceived duration of an interval was affected by cognitive load, fatigue, and unpleasant symptoms caused by VR. In our analysis, we used Bayesian statistics to support our conclusion and offer its results as having some important consequences for the field.

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Data-Driven Spatio-Temporal Analysis via Multi-Modal Zeitgebers and Cognitive Load in VR

Cited by 9 publications

References 0 publications

The Time Perception Control and Regulation in VR Environment

The Time Perception Control and Regulation in VR Environment

Attention Optimization Method for EEG via the TGAM

Cognitive load, fatigue and aversive simulator symptoms but not manipulated zeitgebers affect duration perception in virtual reality

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