Virtual Reality-based System Research Articles

Effectiveness of Virtual Reality-Based Multi-Therapy Systems for Physio-Psychological Rehabilitation: A Clinical Study

The worldwide increase in the number of disorders requiring rehabilitation is weighing more and more on healthcare systems, seriously affecting the quality of life of patients. Emergent technologies and techniques should be used more and more in both physical and psychological rehabilitation, after a thorough study of their potential and effects. Our paper presents an original virtual reality-based system including gamified immersive physio-psychological exercises, which was tested in a clinical setting with 25 patients suffering from various musculoskeletal, neuromotor, or mental disorders. A thorough testing protocol was followed during a two-week period, including repeated trials, progress tracking, and objective and subjective instruments used for data collection. A statistical analysis helped us identify interesting correlations between complex virtual reality games and people’s performance, and the high level of relaxation and stress relief (4.57 out of 5 across all games) which can be offered by VR-based psychotherapy exercises, as well as the increased ease of use (4.26 out of 5 perceived across all games) of properly designed training exercises regardless of patients’ level of VR experience (84% of patients with no or low experience and no patient with high experience).

Construction of Sports Music Integration Training and Performance Practice System Based on Virtual Reality Technology

The development of a virtual reality-based system that incorporates audio into physical routines presents an innovative approach to games performance and training practice. By leveraging virtual reality technology, athletes are immersed in simulated environments where they can engage in synchronized movements with musical accompaniment, enhancing their overall performance and training experience. The system provides customizable training sessions tailored to individual athlete needs, allowing for real-time feedback and performance analysis. Through the integration of music, athletes are able to synchronize their movements with rhythmic cues, fostering better coordination, timing, and rhythm in their athletic routines. The virtual reality environment offers a highly immersive experience, replicating real-world training scenarios and allowing athletes to visualize and practice their routines in a dynamic and interactive setting. Additionally, the system incorporates performance metrics and analytics to track progress over time, enabling athletes to monitor their development and make adjustments to their training regimen as needed. Ultimately, by utilizing virtual reality technology and music synchronization, the development of this sports music integration training and performance practice system represents a cutting-edge method of athletic training. By providing athletes with a highly immersive and customizable training experience, this system has the potential to enhance athletic performance, improve training outcomes, and revolutionize the way athletes train and prepare for competition.

Virtual Reality Adaptive Training for Personalized Stress Inoculation.

To evaluate a personalized adaptive training program designed for stress prevention using graduated stress exposure. Astronauts in the high-risk space mission environment are prone to performance-impairing stress responses, making preemptive stress inoculation essential for their training. This work developed an adaptive virtual reality-based system that adjusts environmental stressors based on real-time stress indicators to optimize training stress levels. Sixty-five healthy subjects underwent task training in one of three groups: skill-only (no stressors), fixed-graduated (prescheduled stressor changes), and adaptive. Psychological (subjective stress, task engagement, distress, worry, anxiety, and workload) and physiological (heart rate, heart rate variability, blood pressure, and electrodermal activity) responses were measured. The adaptive condition showed a significant decrease in heart rate and a decreasing trend in heart rate variability ratio, with no changes in the other training conditions. Distress showed a decreasing trend for the graduated and adaptive conditions. Task engagement showed a significant increase for adaptive and a significant decrease for the graduated condition. All training conditions showed a significant decrease in worry and anxiety and a significant increase in the other heart rate variability metrics. Although all training conditions mitigated some stress, the preponderance of trial effects for the adaptive condition supports that it is more successful at decreasing stress. The integration of real-time personalized stress exposure within a VR-based training program not only prepares individuals for high-stress situations by preemptively mitigating stress but also customizes stressor levels to the crew member's current state, potentially enhancing resilience to future stressors.

Mixed-Methods Assessment of a Virtual Reality-Based System for Pulmonary Rehabilitation.

Barriers to pulmonary rehabilitation (PR) (e.g., finances, mobility, and lack of awareness about the benefits of PR). Reducing these barriers by providing COPD patients with convenient access to PR educational and exercise training may help improve the adoption of PR. Virtual reality (VR) is an emerging technology that may provide an interactive and engaging method of supporting a home-based PR program. The goal of this study was to systematically evaluate the feasibility of a VR app for a home-based PR education and exercise program using a mixed-methods design. 18 COPD patients were asked to complete three brief tasks using a VR-based PR application. Afterward, patients completed a series of quantitative and qualitative assessments to evaluate the usability, acceptance, and overall perspectives and experience of using a VR system to engage with PR education and exercise training. The findings from this study demonstrate the high acceptability and usability of the VR system to promote participation in a PR program. Patients were able to successfully operate the VR system with minimal assistance. This study examines patient perspectives thoroughly while leveraging VR-based technology to facilitate access to PR. The future development and deployment of a patient-centered VR-based system in the future will consider patient insights and ideas to promote PR in COPD patients.

Application of virtual reality in dental implants: a systematic review

Background and objectiveA treatment approach that is widely used as a permanent and natural replacement for missing or extracted teeth is dental implants .VR is a computer-generated simulation that creates a three-dimensional (3D) image or environment. Advances in VR -based learning allow learners and students to practice and also help professionals plan a wide variety of surgical procedures, including the correct placement of dental implants. Therefore, in this systematic review, our aim was to investigate and evaluate the available virtual reality tools for dental implants and their effectiveness.Materials and methodsStudies published up to 01/30/2023 which report the applications of using virtual reality technology in dental implants, were reviewed in three databases, including PubMed, Web of Science, and Scopus. All studies with evidence reporting the role of virtual reality technology in the field of dental implants were included in our analyses, written in English and published in peer-reviewed form, are included. Theoretical articles, and letters that did not provide original data, as well as studies that reported incomplete information, were excluded. Two reviewers independently assessed search results, extracted data, and assessed the quality of the included studies, and decisive agreement was reached by discussion and consultation with the third researcher. Narrative synthesis was undertaken to summarize and report the findings.ResultsOut of 1633 initial search results, nine were included in the present study based on the inclusion criteria. The focus of seven studies was on teaching and learning, and two studies have examined the implant planning procedure. The most commonly used hardware and software were head-mounted display and Unity3D, respectively. In almost all studies, the results showed that the use of virtual reality-based systems improves and enhances the skills of users, including dental students and specialists.ConclusionsOur findings showed that VR is an effective method for teaching and planning the implant process. Although the use of VR technology is limited for various reasons such as cost, it can increase the skills of dental professionals in performing dental implants.

Integrated design and prototyping of a robotic eye system for ocular and craniofacial trauma simulators

This article presents the development of a prototype robotic eye-motion system for a novel simulator of ocular and craniofacial trauma that was developed for practical skills training of eye surgeons and first responders. The simulator fills a gap in the ophthalmological training domain, specifically between virtual reality-based systems for cataract and retinal repair and part-task trainers without quantitative measurement capabilities. Combining physical anatomical modules, instrument tracking and embedded sensors with a data acquisition/feedback system in a portable bench-top structure, it offers an alternative to animal- and cadaver-based training. The prototype robotic eye system described includes multiple human eye globe motion features: eye pitch and yaw motion, proptosis, and sensing of applied force to detect pressure/load applied to the globe.

Development of a Virtual Reality-Based System for Simulating Welding Processes

Arc welding processes, such as shielded metal arc welding (SMAW), metal inert gas (MIG), and tungsten inert gas (TIG), play an important role in industrial applications. To improve the efficiency of the exploitation of traditional welding systems, new technologies have been used. Virtual reality technology is one of them. The virtual reality (VR)-based welding system enables to increase the frequency of practice to help learners obtain welding experience to avoid errors that occur during actual welding processes. This paper presents a VR-based system for simulating three welding processes: SMAW, MIG, and TIG. The developed system includes hardware components and VR software installed on a computer. The change in the physical devices, such as moving the welding torch and the distance from the welding torch to the plates to generate the weld bead, will update in real time and appear on the virtual environment. The functionality of the developed system for simulating the welding processes, such as in the real welding environment, was tested successfully. For implementing the system, welding speed and the distance from the welding torch to the plates are important process parameters, which determine the weld size or the weld formation. In this research, the ranges of the welding speed are 70 ÷ 120 mm/min; 240 ÷ 460 mm/min; and 250 ÷ 450 mm/min for the SMAW, TIG, and MIG processes, respectively. These values were tested experimentally. The distance from the welding torch to the plates to display the weld joint is 1.5 ÷ 5 mm. Outside of this range, no weld joint is formed. The welding widths are 4.4 ÷ 12.9 mm, 7.1 ÷ 12.4 mm, and 7.4 ÷ 11.3 mm for the SMAW, TIG, and MIG processes, respectively.

BiomacVR: A Virtual Reality-Based System for Precise Human Posture and Motion Analysis in Rehabilitation Exercises Using Depth Sensors

Remote patient monitoring is one of the most reliable choices for the availability of health care services for the elderly and/or chronically ill. Rehabilitation requires the exact and medically correct completion of physiotherapy activities. This paper presents BiomacVR, a virtual reality (VR)-based rehabilitation system that combines a VR physical training monitoring environment with upper limb rehabilitation technology for accurate interaction and increasing patients’ engagement in rehabilitation training. The system utilises a deep learning motion identification model called Convolutional Pose Machine (CPM) that uses a stacked hourglass network. The model is trained to precisely locate critical places in the human body using image sequences collected by depth sensors to identify correct and wrong human motions and to assess the effectiveness of physical training based on the scenarios presented. This paper presents the findings of the eight most-frequently used physical training exercise situations from post-stroke rehabilitation methodology. Depth sensors were able to accurately identify key parameters of the posture of a person performing different rehabilitation exercises. The average response time was 23 ms, which allows the system to be used in real-time applications. Furthermore, the skeleton features obtained by the system are useful for discriminating between healthy (normal) subjects and subjects suffering from lower back pain. Our results confirm that the proposed system with motion recognition methodology can be used to evaluate the quality of the physiotherapy exercises of the patient and monitor the progress of rehabilitation and assess its effectiveness.

A Study on Improvement of Motion Sensation for a Vehicle Driving Simulator Based on Specific Force Gain and Tilt Angle Scale Method

The vehicle driving simulator (VDS) is a virtual reality-based system that provides drivers and passengers with a driving feeling similar to the actual vehicle. However, the motion system of the VDS has limitations in providing the same driving feeling as the actual driving due to its limited kinematics and dynamic characteristics. In order to solve these problems and limit the motion of the VDS to the kinematic workspace, a washout algorithm is needed. However, since the classical washout algorithm causes simulator sickness due to time delay and signal distortion caused by using the signal filters, various washout algorithms have been proposed, such as a new tilt coordination algorithm and method of directly reflecting subregions of vehicle tilt angle. However, the new tilt coordination washout algorithm has the disadvantage of extremely degrading the rotational motion sensation, and the subregions scale method has the disadvantage of ambiguous criteria for selecting scale parameters. In this paper, we propose a novel washout algorithm that improves the motion sensation of the driver and passengers by an enhanced tilt coordination and subregion scale washout algorithm and evaluate it through a simulation based on the human sensation model. The proposed washout algorithm has the advantage of maintaining enhanced translational motion sensation by the new tilt coordination algorithm while complementing deteriorated rotational motion sensation. In addition, the structure of the algorithm is simple and gain tunning is intuitive, making it easy for the user to apply to the motion system of the VDS.

The cupboard task: An immersive virtual reality-based system for everyday memory assessment

Background and objectiveVirtual Reality (VR) has the capacity to be used in cognitive rehabilitation interventions for diagnostic and training purposes. This technology allows the development of proposals that traditionally have been only implemented using physical elements that imply greater resources and a lesser degree of automation. This work presents an immersive virtual reality (IVR) application (the Cupboard task) for the evaluation of memory in a more ecological way and based on an activity of daily living (ADL). MethodsTo appraise its construct validity, we have carried out a comparative study with a traditional method of memory assessment (method of loci). To check for any association between performance and age, performance with years of education, and reaction time with age, the Pearson's correlation was used. One-way ANOVA was used to check for differences in performance by gender. We also performed a reliability analysis with a two way mixed effects model where people effects are random and measures effects are fixed. Therefore, intra-class correlation coefficient with absolute agreement was reckoned to assess the consistency or concordance of the measures made by both the method of loci and the cupboard IVR task. ResultsBoth tasks were evaluated on a sample of 22 healthy participants who voluntarily took part in the experiment. The results obtained showed a high degree of concordance between both memory performance measures, which assumes good clinical relevance. In addition, other age-related effects were found, common to memory assessment tasks. ConclusionsThis work showed that it is possible to use an IVR application to successfully assess everyday memory. We have also demonstrated the potential of IVR to develop valid tests that assess memory functions reliably and efficiently and within ecologically valid contexts. The results obtained open the door to its use in clinical settings for cognitive training (and promoting cognitive health) of patients with mild cognitive impairment (MCI), severe cognitive impairment (SCI) such as Alzheimer or Dementia, etc., with full guarantees of application, although it must first be validated through a randomized control trial (RCT). The degree of usability of the Cupboard task was very high according to the test carried out by the participants.

Cross-virtuality analysis of rich X-ray computed tomography data for materials science applications

ABSTRACT We demonstrate a collaborative visualisation framework using a traditional desktop-based setup together with a virtual reality-based system for the analysis of rich X-Ray Computed Tomography Data (XCT) from composite materials. The framework supports experts in the time-consuming and cognitively demanding task of analysing objects, in particular, curved fibres and pores, along with their characteristics, such as length, orientation, or shape. Our framework employs visualisation methods in virtual reality focusing on a detailed spatial impression, combined with desktop-based methods on a large-screen multi-touch display focusing on analysing characteristics and their distributions. We provide two case studies on fibre-reinforced polymer (FRP) datasets, showcasing the potential of our framework. One case study analyses a FRP containing short, strongly curved polyethylene terephthalate fibres. A second study explores small elliptic pores inside a carbon FRP dataset. Our preliminary results show that the addition of virtual reality to the classical desktop-based workflow can enhance the spatial understanding of the dataset, encourage collaboration, as well as foster engagement with the data.

Fire Emergency Evacuation from a School Building Using an Evolutionary Virtual Reality Platform

In the last few years, modern technologies such as numerical simulations, virtual and augmented reality, and agent-based models represented effective tools to study phenomena, which may not be experimentally reproduced due to costs, inherent hazards, or other constraints (e.g., fire or earthquake emergencies and evacuation from buildings). This paper shows how to integrate a virtual reality platform with numerical simulation tools to reproduce an evolutionary fire emergency scenario. It is computed in real time based on the building information model and a fluid dynamic software. A specific software was also used to simulate in real time the crowd dynamic in the virtual environment during the emergency evacuation process. To demonstrate the applicability of the proposed methodology, the emergency fire evacuation process for an existing school building is presented. The results show that the proposed virtual reality-based system can be employed for reproducing fire emergency scenarios. It can be used to help decision-makers to determine emergency plans and to help firefighters as a training tool to simulate emergency evacuation actions.

Training virtual reality-based system for detection and simulation of motors failures

The need to have human resources trained efficiently is imperative. However, most industries do not give it the necessary importance. Similarly, staying technologically up-to-date allows the industrial sector to optimize its resources and satisfy the needs of its customers. This research presents the development of a virtual reality (VR) system for learning fault detection and correction in induction motors. It has been compared to a conventional methodology in terms of time and acquired knowledge. A 58% reduction was observed in the first parameter, while for the second, a p-value of 0.0000005 was obtained, thus demonstrating that this system is more efficient than conventional training in terms of learning. Finally, its usability was evaluated with the VRUSE method, with averages above 3.8 and standard deviations below 0.70.

Impaired Subjective Visual Vertical and Increased Visual Dependence in Older Adults With Falls.

Aging affects the vestibular system and may disturb the perception of verticality and lead to increased visual dependence (VD). Studies have identified that abnormal upright perception influences the risk of falling. The aim of our study was to evaluate subjective visual vertical (SVV) and VD using a mobile virtual reality-based system for SVV assessment (VIRVEST) in older adults with falls and evaluate its relationship with clinical balance assessment tools, dizziness, mental state, and depression level. This study included 37 adults >65 years who experienced falls and 40 non-faller age-matched controls. Three tests were performed using the VIRVEST system: a static SVV, dynamic SVV with clockwise and counter-clockwise background stimulus motion. VD was calculated as the mean of absolute values of the rod tilt from each trial of dynamic SVV minus the mean static SVV rod tilt. Older adults who experienced falls manifested significantly larger biases in static SVV (p = 0.012), dynamic SVV (p < 0.001), and VD (p = 0.014) than controls. The increase in static SVV (odds ratio = 1.365, p = 0.023), dynamic SVV (odds ratio = 1.623, p < 0.001) and VD (odds ratio = 1.460, p = 0.010) tilt by one degree significantly related to falls risk in the faller group. Fallers who had a high risk of falling according to the Tinetti test exhibited significantly higher tilts of dynamic SVV than those who had a low or medium risk (p = 0.037). In the faller group, the increase of the dynamic SVV tilt by one degree was significantly related to falls risk according to the Tinetti test (odds ratio = 1.356, p = 0.049). SVV errors, particularly with the dynamic SVV test (i.e., greater VD) were associated with an increased risk of falling in the faller group. The VIRVEST system may be applicable in clinical settings for SVV testing and predicting falls in older adults.

Reliability and Validity of a Virtual Reality-Based System for Evaluating Postural Stability.

Postural stability is an important indicator of balance and is commonly evaluated in neurorehabilitation. We proposed a system based on a virtual reality (HTC Vive) system with a tracker at the lumbar area. The position data of the tracker were obtained through detection of the sensors on the tracker by the VR system. The reliability and validity of these sway parameters to measure postural stability were evaluated. Twenty healthy adults had their postural sway measured with this system and a force platform system under four stance conditions, with wide- or narrow-stance and eyes open or closed. The path data from both systems were computed to obtain the following parameters: the mean distance and the mean velocity in the medial-lateral and anterior-posterior directions and the 95% confidence ellipse area. The reliability of the Vive-based sway measures was tested with intraclass correlation coefficients (ICCs). The convergent validity was tested against the center of pressure (COP) parameters from the force platform system. Finally, the discriminative validity was tested for the above four conditions. The results indicated that the Vive-based sway parameters had moderate to high reliability (ICCs: 0.56 ~ 0.90) across four conditions and correlated moderately to very highly with the COP parameters ( r = 0.420 ∼ 0.959 ). Bland-Altman plotting showed generally good agreement, with negative offset for the Vive-based sway parameters. The sway parameters obtained by the Vive-based system also discriminated well among the tasks. In conclusion, the results support this system as a simple and easy-to-use tool to evaluate postural stability with acceptable reliability and validity.

Subjective visual vertical and visual dependency in patients with multiple sclerosis

BackgroundSpatial orientation is an inherent ability governed by the complex integration of visual, vestibular and proprioceptive inputs. The degree to which an individual relies upon visual cues, as opposed to the vestibular or proprioceptive cues, is termed visual dependence. Although abnormal visual dependence has been documented in other neurological disorders, it is not known whether MS leads to visual dependence, and if so whether this is related to disease progression, clinical disability, or neuro-inflammatory burden in the central nervous system. ObjectiveTo evaluate SVV and visual dependence using a novel mobile virtual reality-based system for subjective visual vertical assessment (VIRVEST) and evaluate its relationship with the Expanded Disability Scale Score (EDSS), MS course and clinical findings. MethodsThe study included 59 patients with MS and 59 controls. Four tests were integrated in VIRVEST system and performed by each patient: a static SVV, dynamic SVV with clockwise and counter-clockwise background stimulus rotation, and SVV in a virtual reality background – a boat floating in the wavy water - to be adjusted vertically. Visual dependence was evaluated as a function of dynamic SVV. ResultsPatients with MS manifest larger biases in both static and dynamic SVV than healthy controls (p<0.001), in addition to higher visual dependence scores (p<0.05). MS patients with an EDSS score >4.5 had larger values of dynamic SVV and when compared to MS patients with lower EDSS scores (p<0.01), and visual dependence was related to disease severity. Patients with progressive MS disease course demonstrated statistically significantly larger dynamic SVV and visual dependence scores when compared to MS patients with relapsing-remitting disease (p<0.01). The mean System Usability Scores for the VIRVEST system corresponded to a patient perceived adjective rating of ``excellent''. ConclusionWe have evaluated the application of a novel virtual reality-based SVV test in patients with MS. We identified greater dynamic SVV errors suggestive of visual dependence in patients with MS versus controls and show that dynamic SVV abnormalities are related to disability measures. We suggest that this paradigm is effective at identifying visual dependence in neurological patients, and may have application in clinical settings, given high system usability scores.

Scope of Virtual Reality (VR) Based Disaster Preparedness Training for the Less Literate and Illiterate People

Virtual reality (VR) has evolved over the past decade, and as this evolution continues, scope and significance of using VR in various educational settings are worth exploring. With the availability of low-cost Google Cardboard VR tool and emergence of affordable smartphones, the possibility of creating a participant-centric virtual reality learning environment even in developing countries is not unthinkable. However, there remains a void in the adaptation of the VR based tools in the developing countries. As of today, no initiatives are taken to create a learning setting which would allow less literate and illiterate people to overcome some of the evident curses of illiteracy through planned elevated use of other senses such as vision and sound.To contribute to this identified void, the author conducted two iterations of small-scale fieldwork where VR based technology was used alongside the author’s existing ‘Training in a Tab' project. In this project, a tablet device based disaster preparedness training was provided to the technologically disadvantaged, predominantly less literate and illiterate group of people. In 2016, a pilot study was conducted at Uthali Village located in the Manikganj district, Dhaka division, Bangladesh followed by a post-pilot scaling study in 2017, conducted in the Teknaf Subdistrict, Chittagong division, Bangladesh.Findings from the fieldwork suggest VR based system can be compatible with the existing practices and it is possible to use the VR based system to enhance the learning process in a social setting. From a pioneering initiative to integrate VR within a less literate population, this paper contains a brief record of the use of VR in disaster preparedness settings, sets out the rationale for using this in the developing countries, provides an introduction to possible methods that can be used in the fieldwork. The early findings of both studies affirm VR based system’s possibility in stimulating ‘disruptive learning' among the targeted less literate population which can lead towards long-term change in the participants' perspectives on disaster awareness and can make them further interested in learning more about disaster preparedness. Despite the concerns with localised content creation, the findings will be able to guide future researchers who might want to create VR based training for a similar population.

An investigation of the efficacy of collaborative virtual reality systems for moderated remote usability testing

Collaborative virtual reality-based systems have integrated high fidelity voice-based communication, immersive audio and screen-sharing tools into virtual environments. Such three-dimensional collaborative virtual environments can mirror the collaboration among usability test participants and facilitators when they are physically collocated, potentially enabling moderated usability tests to be conducted effectively when the facilitator and participant are located in different places. We developed a virtual collaborative three-dimensional remote moderated usability testing laboratory and employed it in a controlled study to evaluate the effectiveness of moderated usability testing in a collaborative virtual reality-based environment with two other moderated usability testing methods: the traditional lab approach and Cisco WebEx, a web-based conferencing and screen sharing approach. Using a mixed methods experimental design, 36 test participants and 12 test facilitators were asked to complete representative tasks on a simulated online shopping website. The dependent variables included the time taken to complete the tasks; the usability defects identified and their severity; and the subjective ratings on the workload index, presence and satisfaction questionnaires. Remote moderated usability testing methodology using a collaborative virtual reality system performed similarly in terms of the total number of defects identified, the number of high severity defects identified and the time taken to complete the tasks with the other two methodologies. The overall workload experienced by the test participants and facilitators was the least with the traditional lab condition. No significant differences were identified for the workload experienced with the virtual reality and the WebEx conditions. However, test participants experienced greater involvement and a more immersive experience in the virtual environment than in the WebEx condition. The ratings for the virtual environment condition were not significantly different from those for the traditional lab condition. The results of this study suggest that participants were productive and enjoyed the virtual lab condition, indicating the potential of a virtual world based approach as an alternative to conventional approaches for synchronous usability testing.

Virtual, augmented, and mixed reality-based learning systems: personalisation framework

The paper is aimed to analyse the problem of personalisation of Virtual Reality/Augmented Reality/Mixed Reality (VR/AR/MR) based learning systems. Research results are two-fold: first, the results of systematic literature review are presented, and, second, VR/AR/MR-based learning systems personalisation framework is proposed. First of all, systematic literature review on research topic was conducted in Thomson Reuters Web of Science database and applying Semantic Scholarsearch tool. The review revealed that strides are being made in education using VR/AR/MR, although much needs to be done. The possibilities of VR/AR/MR application in education seem to be endless and bring many advantages to students of all ages. Few are creating content that may be used for educational purposes, with most advances being made in the entertainment industry, but many understand and realise the future and importance of education applying VR/AR/MR. Manystudies argue that new VR/AR/MR-based learning systems are more effective in comparison with traditional ones. Teachers and students like learning content and activities provided by VR/AR/MR technologies. On the other hand, although the concept of VR/AR/MR has already been proposed more than 20 years ago, most applications are still limited to simple visualisation of virtual objects onto spatially limited scenes, and the developed systems did not pass the barrier of demonstration prototypes. Many authors agree that personalisation of VR/AR/MR-based learning platforms should be further analysed. Original personalisation framework of VR/AR/MR-based learning systems is also presented in the paper. According to the framework, personalisation of VR/AR/MR learning systems should be based on applying learners models and intelligent technologies e.g. expert evaluation, ontologies, recommender systems, software agents etc. This pedagogically sound personalisation framework is aimed to improve learning quality and effectiveness.

Human Emotions and Physiological Signals: A Classroom Experiment

In this paper we present a Virtual Reality based laboratory experience that can be used to demonstrate the effect that emotions may play in our bodies. For attaining this purpose, a Virtual Reality-based system is presented where three different virtual environments aim at inducing specific sensations and emotions on the students participating in a classroom experiment. The objective is that the students be able to analyze their own physiological data and understand the correlation between data patterns and experienced situation.