The rapid adoption of immersive technologies in educational contexts has heightened research interest analyzing the specific behavioral patterns learners within learning environments. However, existing on technical affordances and pedagogical potential analysis remains fragmented. This study contributes by developing a sustainable conceptual framework that amalgamates requirements, specification, evaluation, iteration into an integrated model to identify benefits hurdles A systematic review...

Visual fatigue evaluation plays an important role in applications such as virtual reality since the visual symptoms always affect user experience seriously. Existing methods require hand-crafted features for classification, and conduct feature extraction classification a separated manner. In this paper, we designed experiment to collect electroencephalogram (EEG) signals of various levels, present multi-scale convolutional neural network (CNN) architecture named MorletInceptionNet detect...

We examine whether modeling of the causal dynamic relationships between frontal and occipital electroencephalogram (EEG) time-series recordings reveal reliable differentiating characteristics Alzheimer's patients versus control subjects in a manner that may assist clinical diagnosis disease (AD). The proposed approach utilizes concept principal modes (PDMs) their associated nonlinear functions (ANF) hypothesizes ANFs some PDMs for AD will be distinct from counterparts subjects. To this...

In the past decade, Electroencephalogram (EEG) has been applied in many fields, such as Motor Imagery (MI) and Emotion Recognition. Traditionally, for classification tasks based on EEG, researchers would extract features from raw signals manually which is often time consuming requires adequate domain knowledge. Besides that, extracted selected may not generalize well due to limitation of human. Convolutional Neural Networks (CNNs) plays an important role wave deep learning achieve amazing...

Virtual reality (VR) technology provides highly immersive depth perception experiences; nevertheless, stereoscopic visual fatigue (SVF) has become an important factor currently hindering the development of VR applications. However, there is scant research on underlying neural mechanism SVF, especially those induced by displays, which need further research. In this paper, a Go/NoGo paradigm based disparity variations proposed to induce SVF associated with perception, and in environment was...

Three-dimensional (3D) displays become more and popular in many fields, because they can provide amazing visual effects. However, fatigue as one of the critical factors has seriously impeded wide range applications 3D technology. Electrocardiograph (ECG) electrooculogram (EOG) have been widely used for monitoring fatigue. In this paper, objective effective evaluation model is proposed. Subjective scores (SS), heart rates (HR), blink frequency (BF), Sympathetic activity, Vagal...

Motor imagery brain-computer interface (MI-based BCIs) have demonstrated great potential in various applications. However, to well generalize classifiers new subjects, a time-consuming calibration process is necessary due high inter-subject variabilities of EEG signals. This costly and tedious, hindering the further expansion MI-based BCIs outside laboratory. To reduce time BCIs, we propose novel domain adaptation framework that adapts multiple source subjects' labeled data unseen trials...

This paper presents an approach for the development of Advanced Driving Assistance System (ADAS) based on human-vehicle interaction using Image-based Dynamic Window Approach (IDWA). The IDWA is associated to a method dynamic obstacles avoidance in order prevent human driving errors, context intelligent robotic vehicles. presented by correction Human Behavior (HDB) controller defaults drivers, with respect referential paths that intimate average path real circumstances. performance proposed...

Abstract Duration of viewing was considered as one the most important factors 3D visual fatigue. However, their relationship not well studied. We proposed to use brain monitoring techniques reveal more details about variety activity while watching three‐dimensional (3D) content. investigated spectral patterns in electroencephalogram related various duration and showed power density varied significantly along with development fatigue over occipital lobe, parietal right frontal lobe. Moreover,...

At present, the research on emotion in virtual environment is limited to subjective materials, and there are very few studies based objective physiological signals. In this article, authors conducted a user experiment study experience of reality (VR) by comparing feelings data VR two-dimensional display (2D) environments. First, they analyzed self-report questionnaires, including Self-assessment Manikin (SAM), Positive And Negative Affect Schedule (PANAS) Simulator Sickness Questionnaire...

Abstract Located on the Tibetan Plateau, source region of Yellow River has experienced remarkable climate change over past a few decades, which affects regional ecosystem, agricultural development, and water availability. In this paper, high‐resolution RegCM3 driven by ECHAM5 is applied to generate both control for 1980–2000 projections 21 st century (2010–2098) under Intergovernmental Panel Climate Change (IPCC) A1B emission scenario. For climate, can well reproduce spatial patterns...

With the rapid development of mobile learning technologies as well relevant hardware and software platforms, there is a bright prospect for mixed reality (MR) applying in field education. However, appropriate knowledge navigation concept arrangement methods are urgent to diminish students' cognitive load virtual environment. In this preliminary study, maps were selected scaffolding tools help students navigate through MR space, an educational game prototype named MMRCM integrating was...

Stereoscopic visual fatigue (SVF) due to prolonged immersion in the virtual environment can lead negative user experience, thus hindering development of reality (VR) industry. Previous studies have focused on investigating evaluation indicators associated with SVF, while few been conducted reveal underlying neural mechanism, especially VR applications. In this paper, a modified Go/NoGo paradigm was adopted induce SVF Go trials for maintaining participants' attention and NoGo effects under...

A brain-computer interface (BCI) facilitates bypassing the peripheral nervous system and directly communicating with surrounding devices. Navigation technology using BCI has developed—from exploring prototype paradigm in virtual environment (VE) to accurately completing locomotion intention of operator form a powered wheelchair or mobile robot real environment. This paper summarizes navigation applications that have been used both VEs past 20 years. Horizontal comparisons were conducted...

Abstract Severe visual fatigue symptoms occur while users view three‐dimensional (3D) content. These adversely affect the user experience and hinder widespread application of 3D media. Existing studies mainly used electroencephalography (EEG) power (based on frequency domain analysis) to evaluate (3DVF), but their results were often contradictory confusing. To address this problem, we investigated relationship between EEG features from perspective both time time‐frequency domain. Random‐dot...

Prolonged viewing of 3D content may result in severe fatigue symptoms, giving negative user experience thus hindering the development industry. For visual evaluation, previous studies focused on exploring changes frequency-domain features EEG for various degrees. However, their time-domain were scarcely investigated. In this study, a modified paradigm with random disparities order is adopted to evoke depth-related evoked potentials (DVEPs). Then characteristics DVEPs components degrees are...

This paper presents the approach of an applicable safety driving methodology for human drivers based on Dynamic Window Approach (DWA), as implementation Advanced Driving Assist Systems (ADASs). The behaviors are modelled design controller, refined by referential paths using evasive trajectory model, and linear angular velocities limited corrected DWA which performed obstacle avoidance strategy. Results following compared with Visual Servoing (VS) controller a corresponding autonomous control pattern.

To date, as the different application fields, most VR-based training systems have been different. Therefore, we should take characteristics of field into consideration and adopt evaluation methods when evaluate user experience these systems. In this paper, propose a method to virtual astronauts system. Also, design an experiment based on proposed method. The takes learning performance one dimensions, also combines with other dimensions such as: presence, immersion, pleasure, satisfaction...

This paper presents an approach of human-vehicle cooperative navigation system as implementation Advanced Driving Assistance Systems (ADAS). The driver-in-the-loop contains commands by a human driver, which are verified and corrected the interactive algorithm based on Image-based Dynamic Window Approach (IDWA). Several autonomous driving components involved including Visual Servoing controllers Occupancy Grid, with help environment perception sensors approaches. validation well parameter...

This paper presents the approach of an applicable safety driving methodology for human drivers with focus on human-vehicle interaction. The is based Dynamic Window Approach (DWA) in co-operation perception obstacles. behaviors are modelled design controller, refined by referential paths using evasive trajectory model, where linear and angular velocities limited corrected DWA which performed as obstacle avoidance strategy. Results following compared Visual Servoing (VS) controller a...

Motor imagery brain-computer interfaces have a wide range of promising applications in medical, entertainment and home applications, however, such problems as few motor paradigms weak EEG features need to be addressed. In order explore good experimental induce users perform tasks more effectively, provide effective save training time increase system robustness, this paper designs novel imagination interaction paradigm, which combines virtual reality haptic stimulation synchronized...

3D visual fatigue is one of the major factors that hinder development virtual reality contents towards larger population. We proposed an EEG-based self-attention CNN model to evaluate user's in end-to-end fashion. adopted a wavelet-based convolution extract spatiotemporal information and prevent overfitting. Besides, layer was added feature extractor backbone cope with subject-variation problem EEG-decoding. The method compared four state-of-the-art methods, results demonstrate our has best...