Virtual Situation Research Articles

Effectiveness of VR Technology Based on Artificial Intelligence and Big Data in Overcoming Psychological Barriers in Taekwondo Practical Learning

With the rapid development of modern society, a series of emerging technologies such as big data technology, artificial intelligence technology, and cloud computing have also developed rapidly. Among them, artificial intelligence is an important part of computer bionics. It is widely used in the research and analysis of virtual reality. These technologies have effectively assisted modern classroom teaching. In Taekwondo learning, students are easy to encounter some difficult problems, including fear of competition and other psychological obstacles. This study developed a new idea to study these psychological disorders by using the combination of artificial intelligence, big data analysis, and VR technology. The experimental results show that when learners are in the virtual situation created by VR technology, their learning and interactive experiences have been greatly optimized and their learning skills have been greatly improved. They are no longer so afraid of this sport, but they also eliminate their fear of this sports competition, to achieve the ultimate goal of overcoming psychological obstacles. Experiments show that the VR teaching mode based on artificial intelligence and big data technology has its own uniqueness, which can effectively help Taekwondo players overcome the psychological obstacles they encounter in the process of actual combat, and the anxiety and fear indexes of the players decreased by 12.5% and 11.5%, respectively.

Laughing Online: A Morpho-Semantic Study on Typed Laughter-Derived Expressions Used in Hijazi Twitter and WhatsApp Instant Messages

This study aims to explore the morpho-semantic features of Typed Laughter-Derived Expressions (TLDEs) used by sixty young Hijazi females aged (18-25) through instant messaging (IM) in online chatting on two social networking sites (SNSs) confined in this study to Twitter and WhatsApp. It focuses on the ways those Hijazi females express their online laughter in the absence of face-to-face interactions. Forty-five Twitter messages and one hundred and nine WhatsApp messages were screenshot by those Hijazi females and were submitted for morpho-semantic analysis. The results show that the following morpho-semantic processes are used: onomatopoeia, borrowing some English acronyms, hyperbole, parts of the body that are physically associated with laughter, haphazard letters, and repetition of a letter. Even though this study does not focus on emojis, emojis are found to be important in packing up those TLDEs to make the virtual situation similar to the real face-to-face one and to mark social interaction among online users as well.

Immersive Virtual Reality Serious Games With DL-Assisted Learning in High-Rise Fire Evacuation on Fire Safety Training and Research.

In case of fires in high-rise buildings, appropriate safe behaviors for leaving the high floors are the key to reducing injuries and increasing the chance of survival. Traditional training methods are often used to provide knowledge about a fire escape but may become ineffective in terms of knowledge acquisition and internalization. Serious games are an innovative teaching method, aiming at training and educating people in game environments. In recent years, immersive virtual reality has become popular in many educational environments. Various educational training programs are combined with serious games and attract more and more attention because they can make users feel highly involved and promote learning cognition. Therefore, this study proposed the fire safety training of high-rise building fire escape based on virtual reality and invited 140 college students to make explorations through this virtual situation. In addition, deep learning was integrated into the recommended safety training system, so that students could be trained in areas where concepts were ill-defined. According to the results, through the high-rise building fire escape training based on virtual reality, students’ fire safety skills were significantly improved and most students could use their behavioral skills in real situations, which has positive effects on promoting the development of fire escape knowledge. Finally, according to the analysis on the results of the DL-assisted learning system, some suggestions were made in this study on behavioral skills training for professional firefighters and researchers.

Movement generalization of variable initial task state based on Euclidean transformation dynamical movement primitives

Robots need the ability to tackle problems of movement generalization in variable task state and complex environment. Dynamical movement primitives can effectively endow robots with humanoid characteristics. However, when the initial state of tasks changes, the generalized trajectories by dynamical movement primitives cannot retain shape features of demonstration, resulting in the loss of imitation quality. In this article, a modified dynamical movement primitives based on Euclidean transformation is proposed to solve this problem. It transforms the initial task state to a virtual situation similar to the demonstration and then utilizes the dynamical movement primitive method to realize movement generalization. Finally, it reverses the movement back to the real situation. Besides, the information of obstacles is added to Euclidean transformation based dynamical movement primitives framework to endow robots with the ability of obstacle avoidance. The normalized root-mean-square error is proposed as the criterion to evaluate the imitation similarity. The feasibility of this method is verified through writing letters, wiping whiteboard in two-dimensional task, and stirring mixture in three-dimensional task. The results show that the similarity of movement imitation in the proposed method is higher than dynamical movement primitives when the initial state changes. Meanwhile, Euclidean transformation based dynamical movement primitives can still greatly retain shape feature of demonstration while avoiding obstacles in an unstructured environment.

Retracted] The Construction of Immersive Learning System Based on Virtual Testing Technology of Virtual Reality

Objective. To explore the construction of immersive learning system based on virtual reality (VR) and test its learning effect. Methods. 20 qualified subjects were divided into two groups, each tending to agree, each with 5 boys and 5 girls. Experimental group 1 is in the real operating environment, and experimental group 2 is in the VR virtual disassembly experimental environment. The task process errors, knowledge questionnaire scores and user subjective satisfaction were analyzed statistically. Results. The significance probability P of knowledge questionnaire in the Levene test was 0.777, greater than 0.05, and the variance homogeneous, so the final P of independent sample t‐test was subject to “assumed variance equal”; the significance probability was 0.613, greater than 0.05; the questionnaire scores of two groups showed no significant difference, so VR virtual environment can achieve the learning effect of the real environment. The number of errors in a VR virtual situation is significantly lower than the number of errors in the real environment, the VR virtual environment can achieve the learning effect of the real environment, and the VR virtual environment can achieve more interaction, with good interaction. Conclusion. The immersive learning system based on VR detection technology can realize the cognition of three‐dimensional model structure and has a certain learning effect.

Use of point-of-care technologies for the management of the COVID-19 pandemic in Colombia

RESUMENObjetivo.Proponer un modelo de atención en salud que integra tecnologías que pueden emplearse en el lugar de atención (point-of-care) y técnicas de inteligencia artificial.Métodos.Se usó un modelo teórico en el que un millón de personas accedieron a la aplicación móvil CoronApp-Colombia, que recoge datos personales, signos, síntomas y nexos epidemiológicos compatibles con COVID-19. Empleando la información de la app se aplicaron técnicas de inteligencia artificial (ciencias de datos) en una sala situacional virtual.Resultados.Los usuarios compatibles con COVID-19 serían priorizados y sometidos a una prueba de diagnóstico rápido para la búsqueda de anticuerpos anti-SARS-CoV-2. El tamizaje con la prueba de diagnóstico rápido permitiría detectar a las personas serorreactivas, en quienes se llevaría a cabo la confirmación diagnóstica mediante biología molecular (PCR). La información de los casos positivos confirmados por PCR se sometería nuevamente a técnicas de inteligencia artificial y estadística espacial para determinar los focos geográficos de infección. En estos focos se puede hacer búsqueda activa de contactos con los casos índices positivos y activar nuevamente la ruta de diagnóstico con la prueba de diagnóstico rápido y PCR.Conclusión.Este escenario puede ser un camino útil para que los países de la región con plataformas tecnológicas para el diagnóstico por PCR débiles o ausentes puedan maximizar los recursos existentes, estimar el peso epidemiológico de la COVID-19 (infección, morbilidad, mortalidad y letalidad) en sus territorios y definir planes de contención, mitigación y control acordes a sus necesidades.

Sampling Model on Surveillance of COVID-19 virus among Human Populations

India stands at 90,927 confirmed cases of Covid-19 infection with WHO classification of clusters of cases. The governments around the world including India are mostly testing only people showing symptoms of flu, which are underestimating the real numbers due to presence of asymptomatic humans under virus incubation period. Random surveillance testing should, therefore, start as soon as possible to establish the mortality rate and virality of the Coronavirus. Such surveillance for Covid-19 provides valuable early warning information about the spread of the virus and also reduces the uncertainty surrounding the true extent of the pandemic and its mortality rate. Considered one of the most reliable forms of data collection, surveillance testing is takes small number of demographically representative random people to use as an estimate for the whole population. Due to these reasons, attempt was made to develop a model for Covid-19 virus surveillance using rapid antibody testing method for screening the human populations on disease prevalence, which can be followed by rRT-PCR testing. This screening method was test checked in virtual situation in Qutbullapur Municipality of Medak district, Telangana state, wherein three different areas – High risk, Moderate risk and Low risk, each having 3 km area were identified in the Municipality with 2118 houses and projections were made for virtual sampling in 4 replicated unit areas. The projection of cost analysis came as Rs. 11,900 for first round rapid sample collection from randomly selected houses in entire Municipality, which appeared as a feasible financial projection for a disease like Covid-19. Major town/cities can consider to adopt this as surveillance method for covid-19 virus. How to cite this article:Rao AMKM, Kanchana ND, Sharma SN. Sampling Model on Surveillance of COVID-19 virus among Human Populations. J Commun Dis 2020; 52(2): 31-36. DOI: https://doi.org/10.24321/0019.5138.202016

On Sharing Responsibilities for Pollution Embodied in Trade

Dans cet article, nous proposons une nouvelle facon d’evaluer la responsabilite environnementale au niveau des pays en tenant compte de leur balance commerciale en terme de carbone. Partant du fait que l’approche fondee sur les responsabilites respectives du producteur et du consommateur, largement encouragees et utilisees dans la litterature, ont chacune leurs propres limites, nous introduisons une formule modifiee pour la balance commerciale nette du carbone au niveau du pays. Pour ce faire, nous examinons dans quelle mesure les flux commerciaux pour un pays donne augmentent ou diminuent les emissions mondiales par rapport a la situation virtuelle ou les importations auraient ete produites dans le pays de consommation. Nous soutenons qu’il serait juste que les pays conservent la responsabilite des emissions supplementaires qu’ils creent lorsqu’ils font du commerce. Nous discutons ensuite des incitations apportees par la regle de responsabilite modifiee pour diminuer l’intensite en emissions et etendons notre formule pour inclure le commerce des biens intermediaires. Enfin, nous illustrons notre concept a l’aide de donnees de la Banque mondiale et de l’OCDE sur les flux commerciaux et les ratios d’intensite en emissions. Nous caracterisons six groupes de pays en fonction de l’ordre respectif de leur responsabilite producteur, consommateur et de notre nouvelle regle de responsabilite.

LADM-based profile for farmland Tripartite Entitlement System in China

Since the beginning of the 21st century, China has undergone a promotion of industrialisation, urbanisation and agricultural modernisation. This promotion has triggered the mass migration of rural labour forces into cities, leading to the virtual situation of the separation of farmland contract and operation rights. To respond to this issue, the central government proposed a strategy of farmland reform in China. Such reform aims to transform the former ‘Bipartite Entitlement System’ into a ‘Tripartite Entitlement System (TES)’.11‘Bipartite Entitlement System’ refers to the separation of farmland contractual operation right and farmland ownership. ‘Tripartite Entitlement System’ is the second separation of farmland contractual operation rights, which is transformed into the contract and operation rights. Thus, the ‘Tripartite Entitlement System’ is composed of three individual farmland rights: ownership, contract right and operation right. Land registration provides the means for recognising formalised property rights and regulating the characteristics and transfer of land-related rights. As for farmland registration in China, it serves as a basis to explore effective forms of collective farmland ownership by implementing collective farmland ownership, stabilising farmers’ contract rights and liberalising farmland operation rights. Thus, in this study, on the basis of the farmland tripartite entitlement (hereinafter referred to as ‘FTE’) reform in China, we develop a Land Administration Domain Model (LADM)-based TES model that will serve as the basis of subsequent system development. Specifically, first, we summarise the evolution process of China’s farmland rights system since the foundation of new China. Second, we propose a farmland rights system after the FTE reform. Then, the corresponding TES model is developed based on the LADM standard and some instance-level diagrams for farmland administration activities. The new functionality of the model includes improved structuring of farmland rights and restrictions (and related source documents) and improved expansion of the land information infrastructure to rural areas.

Initial state design for suppressing undesirable effects of controller switches

We propose a new initial state design procedure for a newly-activated controller at a controller switch. By minimizing the value of the state-dependent switching L2 gain presented in this paper, we can obtain the optimal initial state for suppressing the difference between the actuality that a controller switch occurs and the virtual situation where it does not occur.

Relationship between UAVs and Ambient objects with threat situational awareness through grid map-based ontology reasoning

Autonomous threat situational awareness for unmanned aerial vehicles (UAVs) is required in various fields. Although several approaches have been proposed for autonomous threat situational awareness, most of them involved reasoning of the semantic information of objects. Therefore, in this paper, we propose a method to achieve threat situation awareness in UAVs based on reasoning of the relationship among objects. In this study, there are three main ways to recognize a threat to a UAV. First, information of a recognized objects is expressed using a level of detail-based grid map. Second, the concepts of objects around UAV are defined as an ontology, and the relationship and situations between objects are defined as SWRL. Third, through the ontology reasoning, the simulator visualizes recognizing the relationships of objects and threat situations for the UAV. To validate the proposal, a data generator was constructed to perform reasoning for a virtual threat situation. The generated data ensured that the expected relationships between objects and situations were properly recognized. Four scenarios were analyzed and the relationships and situations that might be encountered in each scenario were set. The accuracy of the overall situational awareness averaged 95%, and the reasoning speed averaged 583 ms.

Insight into Management Issues modeling for Perfect Business Simulation

In this paper, I try to focus on widely growing field of Management Science; and that, “Modeling of Management Issues “. Now days Business Simulation techniques are used to earn more profit from Business and this is only issues control future course of actions properly. By using models we can predict & control future course of action & situation. Modeling is not a new subject. It’s oldest technique, but widely used in Physical Sciences, like Chemistry, Physics, Electronics, Engineering field, But it’s again become vital after some time in Life Sciences, like Botany, Zoology, Bio-Chemistry, Bio-Tech and Medical field problem modeling and now in current world it’s also become very vital in Information Technology and Management subjects. Here one question is always arise, why such a modeling is needed, and where and when needed, and answer of this simple question is, considering some simple problems like ‘ to find out the width of a river (But your are not allowed to cross it), find out the temperature (but you are not allowed to use thermometer), means try to find out any Quantity or parameter/variable without existence or entity of that, and if virtual situation satisfied by using modeling technique, we implement that virtual model for actual situation. In last I want to conclude modeling is the heart of any branch of Education, weather its science, Arts, Commerce, Medical, Information Technology, Engineering or Management and in summaries form I want to say this paper is nothing but one of the theoretical model, which is for modeling of Management issues for perfect Business Simulation.

Система соціально-психологічних чинників конфліктної поведінки сучасної молоді в медіа-просторі

In the article, on the basis of the general law of cultural development, a dynamic model of the Internet as a social and psychological object is formulated, a conceptual apparatus of research is formalized and definitions of social and psychological factors of youth aggressive behavior on the Internet and socio-psychological predisposing factors of aggressive behavior are introduced. The purpose of the article is theoretical analysis and substantiation of social and psychological factors of youth aggressive behavior on the Internet. To achieve this goal, it is necessary to solve the following main research objectives: to analyze and develop a dynamic model of the development of the Internet as an object of social and psychological research; formalize ideas about social and psychological factors of youth aggressive behavior on the Internet; to identify and substantiate the socio-psychological factors of youth aggressive behavior on the Internet and to classify them. The methodology of the work is based on the general genetic law of cultural development and the systematic general representation of cyberspace by the youth. The classification and main socio-psychological factors of youth aggressive behavior on the Internet were developed: predisposing factors (personal and cyberspace environments) and situational factors (factors reflecting the objective and subjective components of the social virtual situation). It is shown that the field of application of the results is training programs for reducing the aggressive behavior of young people in cyberspace. The problem of researching the system of social and psychological factors that determine the aggressive behavior of young people on the Internet has highlighted the urgent task - substantiation of social and psychological factors of aggressive behavior of young people on the Internet.

СУБ’ЄКТИВНА ТРАНСФОРМАЦІЯ СИТУАЦІЇ В СИСТЕМІ ПРИЙНЯТТЯ РІШЕНЬ ОСОБИСТІСТЮ

The article presents the results of an analysis of the mechanism of choice and decision-making by the personality. The existing ideas about the choice, decision-making and the correlation between them in the works of domestic and foreign scientists are described. It is found that the decision-making is a consequence of subjective transformations of the life situation. Classification of real and virtual life situations is proposed. The content, components and psychological essence of the studied phenomenon - the subjective transformation of the situation - are specified. The author's concept of the psychological system of decision-making by the personality is offered. The basic concepts are defined and the interpretation of the system elements is given: decision, life decision, situation, life situation, virtual situation, decision-making criteria. The criteria for the correspondence of the decision to the requirements of the system are singled out: situationality of the life decision, structural integrity, functional and subjective utility. The functions and actions performed by the decision-making system on each transformation are described. The activity of various combinations of system components on each transformation is shown. The results of the analysis and the structural diagram of the given psychological system, the features of the transformation of the life situation, aimed at the choice, acceptance and implementation of the decision by the personality are presented.

Virtual Reality based Situation Immersive English Dialogue Learning System

Virtual Reality based Situation Immersive English Dialogue Learning System

Autonomous vehicles in the pro peloton: opportunities and threats

Autonomous vehicles in the pro peloton: opportunities and threats

The Responses of Medical General Practitioners to Unreasonable Patient Demand for Antibiotics--A Study of Medical Ethics Using Immersive Virtual Reality.

BackgroundDealing with insistent patient demand for antibiotics is an all too common part of a General Practitioner’s daily routine. This study explores the extent to which portable Immersive Virtual Reality technology can help us gain an accurate understanding of the factors that influence a doctor’s response to the ethical challenge underlying such tenacious requests for antibiotics (given the threat posed by growing anti-bacterial resistance worldwide). It also considers the potential of such technology to train doctors to face such dilemmas.ExperimentTwelve experienced GPs and nine trainees were confronted with an increasingly angry demand by a woman to prescribe antibiotics to her mother in the face of inconclusive evidence that such antibiotic prescription is necessary. The daughter and mother were virtual characters displayed in immersive virtual reality. The specific purposes of the study were twofold: first, whether experienced GPs would be more resistant to patient demands than the trainees, and second, to investigate whether medical doctors would take the virtual situation seriously.ResultsEight out of the 9 trainees prescribed the antibiotics, whereas 7 out of the 12 GPs did so. On the basis of a Bayesian analysis, these results yield reasonable statistical evidence in favor of the notion that experienced GPs are more likely to withstand the pressure to prescribe antibiotics than trainee doctors, thus answering our first question positively. As for the second question, a post experience questionnaire assessing the participants’ level of presence (together with participants’ feedback and body language) suggested that overall participants did tend towards the illusion of being in the consultation room depicted in the virtual reality and that the virtual consultation taking place was really happening.

Action research on the development of Chinese communication in a virtual community

This study was designed to determine if language acquisition can occur in a virtual situation in the absence of explicit instruction. After spending 1 year establishing a virtual community, the authors observed and analyzed interpersonal interactions and the development of Chinese communication competence, communication models, and interaction frequency. The results revealed that (1) language acquisition can be improved autonomously in a virtual situation; (2) communication competence occurs in a loop of processes that include receiving, exploring, dialogue, assimilation, adaptation, asking questions, problem solving, and conversation; (3) social interactions and a friendly environment are the most crucial factors in a virtual community; (4) community consensus, individual motivation, individual personalities, speaking behaviors, language competence, and leading techniques affect how individuals develop communication competence.

Simulating Déjà Vu: What happens to game performance when controlling for situational features?

Video games offer a unique and flexible virtual environment in which to study human performance in response to virtual situational characteristics. In an experimental design, participants in the current study were presented with two conditions in an action video game environment. In Condition 1, the same virtual situation was presented on three occasions. In Condition 2, three different virtual situations were presented. Results revealed that person × situation interactions were of a notable magnitude, regardless as to whether the same or different situations were presented to participants, suggesting the presence of intraindividual effects across occasions. However, a general performance effect was only identifiable to a meaningful extent when different situations were presented (i.e., in Condition 2 only), suggesting that the presence of different situations is necessary in order for participants to exhibit general performance variability.

Mobile authoring of open educational resources for authentic learning scenarios

The proliferation of smartphones in the last decade and the number of publications in the field of authoring systems for computer-assisted learning depict a scenario that needs to be explored in order to facilitate the scaffolding of learning activities across contexts. Learning resources are traditionally designed in desktop-based authoring systems where the context is mostly restricted to the learning objective, capturing relevant case characteristics, or virtual situation models. Mobile authoring tools enable learners and teachers to foster universal access to educational resources not only providing channels to share, remix, or recontextualize these, but also capturing the context in situ and in time. As a further matter, authoring educational resources in a mobile context is an authentic experience where authors can link learning with their own daily life activities and reflections. The contribution of this manuscript is fourfold: First, the main barriers for ubiquitous and mobile authoring of educational resources are identified; second, recent research on mobile authoring tools is reviewed, and 10 key shortcomings of current approaches are identified; third, the design of a mobile environment to author educational resources (MAT for ARLearn) is presented, and the results of an evaluation of usability and hedonic quality are presented; fourth, conclusions and a research agenda for mobile authoring are discussed.