Reality Game Research Articles

The role of football video games in boosting cognitive abilities critical to football performance

Background and Aim: Football requires rapid decision-making and quick reaction times, crucial cognitive abilities that traditionally develop through physical training. This study explores whether football video games, which simulate real game scenarios, can enhance these cognitive abilities among college-level male football players. Materials and Methods: The study involved 51 football players from SRM Group of Institutions, divided into three groups: regular video game players (Group A), occasional players (Group B), and non-players (Group C). A mixed-methods approach was used, combining quantitative cognitive abilities tests (decision-making, reaction time, situational awareness). The video game used in the study was eFootball 2024 with participants engaging in gameplay over a period of 6 weeks. Tests were conducted before and after a set period of video game engagement. Data were analyzed using mixed-design ANOVA and Pearson’s correlation. Results: Significant improvements were observed in Group A across all cognitive abilities tested. Decision-making showed notable group and time effects (F (2, 48) = 5.76, p = 0.005, η² = 0.17; F (1, 48) = 12.54, p < 0.001, η² = 0.25), with interaction effects indicating substantial enhancements over time (F (2, 48) = 3.45, p = 0.035, η² = 0.08). Reaction time and situational awareness followed similar patterns, with significant group, time, and interaction effects. Correlation analysis revealed strong interrelations between the cognitive abilities, indicating that improvements in one area positively influenced others. Conclusion: Regular engagement with football video games significantly enhances cognitive abilities essential for football performance. These findings suggest that integrating video games into training programs could complement traditional methods, offering a valuable tool for cognitive development in sports.

Unreal Games

Throughout the history of game studies, intellectual debates have sought to identify scholars have reflected on the essential features of games. In the past decade, these discussions have extended beyond academia to the broader gaming community, where certain genres have been elevated as “real games.” Genres like walking simulators, dating sims, visual novels, and hybrid forms are often at the center of these debates. , criticized for their simplicity, lack of challenge, or sometimes overtly sexual content. Despite this, the popularity of these genres is undeniable: since 2007, over 50,000 titles have been documented on the Visual Novel Database, and thousands of walking simulators are available on Steam and other platforms. Many of these titles also appear on MobyGames and have been referenced as “games” throughout history. In this article, we delve into this vast and often overlooked corpus to examine the qualities that can elevate gameplay to unreal levels.

Instrument for Evaluation and Training of Decision Making in Dual Tasks in Soccer: Validation and Application.

Training in team sports such as soccer requires advanced technical and tactical skills for effective decision-making, particularly when executing a shot. This study validates an innovative instrument, a training platform (TP), designed to measure and enhance decision-making in dual-task scenarios. The TP aims to improve visual-motor reactions in multitask environments that simulate real game conditions. Equipped with an LED panel, main circuitry, ball sensor, and targets, the TP challenges players to kick the ball in response to the illumination of the final LED array on the panel while hitting a designated target. The study evaluated three parameters: reaction time (RT), ball speed (BS) and accuracy. To validate the TP against a gold standard (GS), we conducted correlation analyses. The results exhibited very strong correlations for both RT (r = 0.997) and BS (r = 0.994). The mean differences between TP and GS measurements were 13 ± 15 ms for RT and 0.1 ± 0.5 km/h for BS. Bland-Altman plots revealed trend lines obtained by a simple linear regression of r = -0.507, p = 0.307 for RT and r = 0.134, p = 0.077 for BS. The TP effectively simulates game scenarios, offering advantages such as low-cost components, installation flexibility, test variability, instant feedback, and integration of physical and cognitive components of sports performance.

The World Outside of Chess in “Scachs dʼAmor” (1475): Phraseological Profiles of the Participants in the Game Poem

The article presents a pilot study of the Valencian game poem “Scachs dʼAmor” (1475), the stanzas of which and the patterns of moves of a real chess game are parallel, since three poets composed its text at the same time as two of them (Franci de Castellvi and Narcís Vinyoles) played, and the third (priest Fenollar) judged the indicated game and determined new rules for the game. The main innovation of the game was that the queen, emblematically representing the power of the glorified Isabella of Castile, moved for the first time as it moves now. The subject of the study is the lexical and phraseological structure of the monument, and the main method is the statistical method, which is used to determine the frequency of expression of semantic motives in the speech of each of the three co-authors, their attraction to certain artistic themes. As a result, it becomes possible to describe the life experience and sociocultural interests of poets hidden behind linguistic formulas. The categorical study of speech material is preceded by a description of the activities of the Valencian poetic circle in the last quarter of the 15th century.

Quantum Machine Learning for Advanced Data Processing in Business Analytics: A Path Toward Next-Generation Solutions

Quantum Machine Learning (QML) is a rising paradigm of computing that holds high possibilities to revolutionise data analysis in the business analytics industry. This paper aims at presenting how QML can solve the increasingly challenging demands of big contributions to large-scale data analysis in business contexts, achieving better performance than orthodox machine learning methods in terms of time and efficacy. LIQUID: This research utilises actual business data and scenarios and solving problems by using quantum algorithms – VQE and QSVM. At the core of our approach, we perform extensive validation of QML models on platforms such as IBM’s Quantum Experience and D-Wave systems pertaining to critical use cases for businesses would include financial modelling, supply chain management, and customer behaviour prediction. The results presented here suggest that quantum algorithm speeds processing by 30-50% when compared with conventions approaches of computation. Moreover, QML has shown better results for prediction in analytics for various firms and provide them better aptitudes for decision-making. Hence the uniqueness of this research by grounding real world business problems in quantum algorithms and demonstrating empirically how superior they are compared to the classical alternatives in dealing with large datasets. Considering the future of business analytics, QML looks set to be a real game changer for industries that heavily rely on big data analysis. In this it has filled a gap which would cause a scholarly without hard gap between theoretical quantum computing and real business applications.

Players in the Women's National Basketball Association Are More Likely to Tear Their Anterior Cruciate Ligament if They Are a Guard, Forward, or Driving to the Basket: A Case-Control Study.

The Women's National Basketball Association (WNBA) has grown in popularity since its induction in 1996. Furthermore, it is well known that female athletes are at an increased risk of anterior cruciate ligament (ACL) tears compared with their male counterparts. The purpose was to examine the player positions and player movements during basketball games and practices that contribute to ACL tears in WNBA players. Player position and demographics from WNBA players who suffered an ACL tear from 1996 to 2021 were collected from publicly available sources. Entertainment and Sports Programming Network (ESPN) news reports and video analysis were reviewed to determine what movements each player was performing when the injury occurred. Injured players were matched with two noninjured players by age, position, height, and league experience. Performance statistics were collected one season prior to injury and compared with the matched controls. A total of 62 WNBA players with ACL injuries were identified with an average age of 26.7 (±3.9) years. More guards and forward were seen in the injured cohort and more players were injured while driving to the basket (p < 0.05). ACL injuries occurred more commonly during games than in practice (p < 0.05). Compared with controlled match cohort, the players who suffered ACL tears started more games (p = 0.007), had higher minutes played per game (p = 0.003), more field goals per game (p = 0.04), more field goal attempts per game (p = 0.03), more 3-point attempts per game (p = 0.04), more rebounds per game (p = 0.04), more steals per game (p = 0.02), and more points per game (p = 0.02). WNBA guards and forward were more likely to tear their ACL, especially while driving to the basket during real game play. Additionally, players with higher playing times, rebounds, and steals per game had higher rates of ACL tears. However, there was no impact on their performance on season statistics after returning to sport. LEVEL OF EVIDENCE: III.

Method of Electrical Muscle Stimulation to Improve Hand-eye Coordination Training in Gaming

Hand-eye coordination refers to the harmonization between visual information and hand movements. In this coordination, the information perceived by the eyes is used to guide the movements of the hands. In many games, hand-eye coordination is important for the player's experience. However, when players are faced with an unfamiliar activity, it can be a challenge to develop hand-eye coordination in a short period. This study proposes a method for hand-eye coordination training in gaming using Electrical Muscle Stimulation (EMS). By employing EMS, it is possible to enhance attention distribution during bilateral hand movements and improve hand-eye coordination, potentially enabling individuals to train hand coordination skills in a shorter period. To test the feasibility and effectiveness of our method, we first tested participants for attentional switching while wearing the EMS device to ensure that it did not negatively affect participants. Sixteen participants were then trained in hand-eye coordination with and without EMS, and the effects of the training were tested in a customized game and a real music game. The results showed that participants trained with EMS showed more significant improvements in scores and accuracy than those without EMS in both the custom game and the real game. We also conducted a retained effect experiment, which confirmed that participants retained the training effect one week after training. Thus, our study shows the possibility of using EMS as a new medium for training hand-eye coordination in games.

Exploring Emotional Responses of Design Styles using Electroencephalogram (EEG)

Emotion is a huge factor in creating immersive experience when playing a video game. It can be stimulated by visual design elements. In particular, different levels of realism have an effect over the human feelings. Referred to as the Design Style, it is a spectrum of mimicking the real world ranging from Abstract to Realistic. Between them is known as Stylized Design. While there have been many studies to understand the relationship between Design Styles and emotions, their experimental observations lack quantitative analysis and prone to misinterpretation. Electroencephalogram (EEG) technologies have made the possibilities to explore emotional responses directly from the brain. This research aims to understand the relationship between Design Styles and the emotional responses of the player. To analyse design styles for correlation with emotions, a working framework for machine learning classification using EEG is used. Subjects played video games of similar gameplay but of two different Design Styles – each game represents each end of the Design Styles spectrum. Analysis of the EEG data revealed distinction of emotional activity between Abstract and Realistic games. Higher intensity, larger data distribution, and abruptness of change in emotions are all associated with Abstract Design. Realism, on the other hand, is associated with a more sustained emotional state and therefore a good choice for maintaining a steady mood.

Real-time ray transfer for lens flare rendering using sparse polynomials

AbstractWhile lens flares are often undesired artifacts of the imaging process, they are also essential for increasing the level of realism in video games and serve as a powerful artistic tool for photography and filmography. For these reasons, computationally reproducing lens flares has always received special attention. Due to the cost of analytical ray tracing, existing solutions are unable to simultaneously achieve the performance needed for real-time environments and retain the ability to simulate arbitrarily complex ghost shapes. Although polynomial optics has been successfully used to increase the efficiency of ray tracing in multiple rendering areas, no complete and validated solution exists that correctly models all aspects of lens flares. This paper presents our polynomial optics-based method for efficiently and accurately ray tracing lens flare ghosts. Our approach successfully models the shape, energy absorption, chromatic effects, and blocking of lens flare rays by partitioning the input domain into local fitting zones. We demonstrate that our model provides a considerable speedup and high accuracy compared to the analytical approach and achieves better fitting speed, output quality, and rendering performance than the naïve application of polynomial optics. The source code for our implementation is available on GitHub.

Using immersive virtual environments for teaching and socializing children with autism spectrum disorder

The authors' research interests are focused on the development of preschool children with autism spectrum disorder and the potential of virtual reality technologies for teaching and developing children in a gaming environment. The article reviews articles published in peer-reviewed journals and posted in the Scopus database and the Google Scholar search engine for scientific publications over the past 10 years. The objective of the review is to identify international research experience regarding the impact of virtual environments and hardware on children with autism spectrum disorder, their potential effectiveness, recommended conditions and limitations of using virtual reality for social adaptation, development of communication, cognitive and motivational skills. The articles analyzed in the review focus on the following issues: the potential and results of using different types of virtual reality technologies for developing various skills and abilities in children with autism; using virtual reality to work with problems and risks; as well as the features, limitations and safety of using virtual reality headsets by children with autism spectrum disorder. It is recommended to use immersive virtual environments for children with autism under the following conditions: the presence of close and trusted people (caregivers or parents), the presence of real game objects for switching children after exiting the virtual environment and distracting attention from possible negative effects of using gadgets, continuing communication with the child after a virtual reality session in a normal physical space to practice the skill being taught, specific time limits for staying in the virtual environment, etc. It is concluded that the results of using virtual reality technologies remain contradictory, but valid data from scientific research allow us to assert that the use of immersive virtual environments is acceptable, can be effective for teaching children with autism spectrum disorder and, if certain conditions are met, is adequately perceived by them.

Application of Interactive Games on Tourism Objects Based on Augmented Reality Gamification

The development of information technology is always growing rapidly, especially in the field of android smartphones. Android smartphones can now be obtained at a fairly affordable price. With rapid development, there are so many innovations that can be developed by the smartphone itself, even the tourism sector such as The Sila's Agroutourism can get the impact of several innovations that exist along with the times such as Augmented Reality. In this research, the author uses two augmented reality methods, namely Marker Based Tracker and also Markerless. Where Marker based tracker is a method that uses image illustrations in the form of QR codes or special logos to identify an object in the Augmented Reality application. While Markerless is a method that does not require a marker or image to display the object. So that this research produces an augmanted reality game using the marker-based tracker method and also markerless which takes the GPS tracker method as its markerless method. This test uses 3 tests, namely Blackbox testing, Response Time testing and also User Experience Questioner (UEQ). Where the UEQ results filled in by 35 respondents get results above average (Excelent). So that it shows that this game is good and as expected.

Application Analysis of Artificial Intelligence Virtual Reality Technology in Fitness Training Teaching

The application of artificial intelligence virtual reality (VR) technology in fitness teaching and training is becoming increasingly widespread, and its significant advantages provide athletes with a more personalized, efficient and safe training experience. By simulating various fitness scenes, virtual reality technology enables athletes to train immersively, not only improving the fun of training, but also enhancing the training effect. At the same time, the introduction of artificial intelligence technology enables real-time monitoring and analysis of athlete performance during the training process, providing accurate data support for coaches and helping them develop more scientific training plans. This paper explores the application of virtual reality technology in physical education teaching and training, introduces the basic principles and characteristics of virtual reality and proposes several typical virtual reality application scenarios for the needs of physical education teaching and training. In football training, through virtual reality technology, athletes can conduct various technical and tactical exercises in simulated stadiums. At the same time, artificial intelligence systems can analyze the actions and decisions of athletes in real time, and provide feedback and suggestions. In track and field training, virtual reality technology can help athletes simulate competition scenes and improve their psychological adaptability during competitions. Through in-depth research, we have found that this technology provides athletes with a more personalized, efficient, and safe training experience. In football training, virtual reality technology can simulate real game scenes, allowing athletes to engage in various technical and tactical exercises in simulated sports stadiums. At the same time, artificial intelligence systems can analyze the actions and decisions of athletes in real time, provide accurate data support for coaches, and help them develop more targeted training plans.

Using Real-Time Ray Tracing in Game Action-Adventure ANGKARA "The Rise of Asura"

The pressing problems facing the games industry in Indonesia are first, the lack of developers who can meet the needs of the local market and the lack of adaptation of local content in games. Second, how to improve the optimization of the Ray Tracing process? To overcome these challenges, this research aims to design and build an action-adventure game model using Unreal Engine 5. By developing the Real-Time Ray Tracing (RTRT) feature. The game design will also utilize the latest technology such as Ray Tracing, and artificial intelligence to create an immersive and realistic gaming experience. The method used in this research is GDLC (Game Development Life Cycle). The results of research using black box testing with components, character responsiveness, basic attacks, interaction with the environment, defense, enemy behavior, and optimization of Ray Tracing state that it has been validated.

Facial Expression Recognition on Games to Improve Player Experience Satisfaction

Player Experience has been known to be the most important keys for the success of game. There are a lot of methods for improving player experience and one of them is by using Facial Expression Recognition. This paper aims to improve player experience by using Facial Expression Recognition with a balancing game. The player’s emotion will be captured real time and game balancing will work with the emotion value. 2 games were developed, one with basic game and the other one with Facial Expression Recognition. There are 30 respondents that will play both games. The result shows that there is no significant difference between the basic games and the enchanted games using Facial Expression Recognition and Game Balancing.

Proof of concept for a new sensor to monitor marine litter from space

Worldwide, governments are implementing strategies to combat marine litter. However, their effectiveness is largely unknown because we lack tools to systematically monitor marine litter over broad spatio-temporal scales. Metre-sized aggregations of floating debris generated by sea-surface convergence lines have been reported as a reliable target for detection from satellites. Yet, the usefulness of such ephemeral, scattered aggregations as proxy for sustained, large-scale monitoring of marine litter remains an open question for a dedicated Earth-Observation mission. Here, we track this proxy over a series of 300,000 satellite images of the entire Mediterranean Sea. The proxy is mainly related to recent inputs from land-based litter sources. Despite the limitations of in-orbit technology, satellite detections are sufficient to map hot-spots and capture trends, providing an unprecedented source-to-sink view of the marine litter phenomenon. Torrential rains largely control marine litter inputs, while coastal boundary currents and wind-driven surface sweep arise as key drivers for its distribution over the ocean. Satellite-based monitoring proves to be a real game changer for marine litter research and management. Furthermore, the development of an ad-hoc sensor can lower the minimum detectable concentration by one order of magnitude, ensuring operational monitoring, at least for seasonal-to-interannual variability in the mesoscale.

Screen-based Simulation Supporting Problem-based Learning to Improve Football Tactics

Introduction This study measured the effect of Problem-Based Learning (PBL) with Screen-Based Simulation (SBS) on undergraduate football tactical decision-making, tactical skills, and student engagement. The Screen-Based Simulation showed tactical scenarios in real games to learners, promoting the identification and analysis of tactical problems in learning. Problem-Based Learning enabled learners to get a deeper understanding of the tactical problems and discuss them effectively. Materials and Methods Two simulation tools were used in this study. The first one, ‘football match basic offensive and defensive tactical simulation experiment platform,’ is scaffolding in football tactics teaching. Students could use the simulation platform to find tactical problems and learn tactics. The second one, TacticUP, is a screen-based simulation tool to test football tactical decision-making. We used second-year students majoring in physical education at a Chinese university. Seventy-nine students were divided into an experimental group using PBL-SBS and a group taught traditionally. Before the experiment, the tactical decision-making of both groups was assessed in a pretest, and at the end of the six-week experiment, the students were tested again. They also completed a questionnaire on tactical skills and student engagement. Results There was no significant difference between the pretest scores on tactical decision-making between the two groups (independent-sample t-test, sig = 0.997 &gt; 0.05). However, after the experiment, significantly better improvement was observed in tactical decision-making in the experimental group. The pretest mean score (59) was significantly lower than the post-test one (67) on a scale of 100 (paired sample t-test, sig &lt;0.01). ANOVA showed that the experimental group performed better in all aspects, namely tactical decision-making, tactical skill, and student engagement, than the traditional group (Sig values were all less than 0.01). Conclusion Compared with traditional teaching, PPL-SBS students performed better in tactical decision-making, tactical skills, and student engagement than students in the traditional teaching group.

A multiplayer VR showdown game for people with visual impairment

ABSTRACT Researchers have developed virtual reality (VR) systems for people with visual impairment using various audio feedback techniques. However, few studies have investigated collaborative VR systems where people with and without visual impairment can participate together. We developed a VR Showdown, similar to a real showdown game, where players with and without visual impairment can play together in a remote virtual environment. We incorporated auditory distance perception using a head-related transfer function based on the spatial position of the Showdown ball in VR. We developed two modes of VR Showdown. One is the player vs. AI agent (PvA) mode, where visually impaired people can play alone. The other is the player vs. player (PvP) mode, in which visually impaired people can play with another player in a network. The user study results showed that people with and without visual impairment enjoyed playing VR Showdown games that were well-matched.

Game without game: to Gilles Deleuze’s game concept

The article provides a critical analysis of the "ideal game" concept by Gilles Deleuze. The problematic type of Deleuze's judgments about the game leads to the fact that the game is understood by him as a logical subject devoid of the predicate. The consequence of this is the concept of the game, which is devoid of the real game signs. Ultimately, the game is understood by Deleuze as the non-game. The article shows that the logical basis of this approach is "infinite judgment". In this regard, the authors undertake a logical and ontological analysis of negative and infinite judgments. At the same time, the authors not only reveal the internal problematic nature of such judgments, but also point out the social effects and consequences of their application in practice.

Optimal investment and exit decision of venture capitals with multiple heterogeneous Beliefs

Generally, traders hold different beliefs about the same project in venture capital activities. We propose a two-stage decision model with multiple heterogeneous beliefs using real options game theory. Based on this model, we analyse the optimal timing and amount of invested capital for venture capital in stage 1 (investing) and stage 2 (exiting). The results show that different beliefs decrease the optimal amount of invested capital but have little influence on the optimal investment timing, which accounts for the “agree to disagree” phenomenon. This negative effect can be offset by the learning process but can also be exacerbated by the differences in required returns.

Novel Multimedia Feature Fusion Classification (Mffc) Model for Sports Game Design Enhancement

Multimedia feature fusion is reshaping the landscape of sports game design, offering immersive and dynamic experiences for players and spectators alike. By integrating various multimedia elements such as audio, video, graphics, and interactive interfaces, game designers can create engaging environments that simulate the excitement and intensity of real-life sporting events. From lifelike player animations to realistic crowd reactions, multimedia feature fusion enhances the realism and authenticity of sports games, transporting players into the heart of the action. Furthermore, interactive interfaces enable players to customize their gaming experience, from choosing team strategies to controlling player movements, adding depth and complexity to gameplay. With advancements in technology, such as virtual reality and augmented reality, multimedia feature fusion is poised to revolutionize sports game design, offering unprecedented levels of immersion and interactivity for players worldwide. This paper explores the application of multimedia feature fusion in sports game design, utilizing the Multimedia Feature Fusion Classification (MFFC) framework alongside key feature extraction with the genetic model. By integrating various multimedia elements including audio, video, graphics, and interactive interfaces, the MFFC framework enhances the realism and excitement of sports games, offering immersive experiences for players. Through the genetic model, key features are extracted and optimized to improve gameplay dynamics, player interactions, and overall gaming experience. The effectiveness of the proposed approach is evaluated through simulated experiments and empirical validations, demonstrating significant enhancements in game realism, user engagement, and satisfaction. Results indicate a 30% increase in player immersion and a 25% improvement in gameplay dynamics compared to traditional game design methods.