Online Games Research Articles

Leveraging Machine Learning: Advancements in Cheating Detection Strategies for Ensuring Fair Online Gaming Environments

Cheating detection in online gaming is a crucial challenge that affects the fairness and integrity of virtual environments. This literature review delves into the advancements made in the field of cheating detection, focusing on machine-learning-based approaches and encrypted network traffic analysis. Various methodologies, including Support Vector Machines, Logistic Regression, and GPU acceleration, are explored in detecting cheating behaviors within different gaming scenarios. The review also examines the application of supervised learning techniques in Unreal Tournament III, showcasing their potential in identifying cheating instances. Additionally, the challenges posed by limited labeled data and covariate shifts in encrypted network traffic analysis are addressed through innovative solutions like the GCI framework. Insights into the interplay of data attributes and classification performance are provided, offering directions for future research. Overall, this review contributes to the understanding of cheating detection strategies and their implications for maintaining equitable and enjoyable online gaming experiences.

Impact of Free Fire Online Games on the Social Behaviorof Class 4 Students of SDN 1 Cipanas Bandung Barat

This research aims to explore the impact of playing the online game Free Fire on the social behavior of grade 4 students at SDN 1 Cipanas, West Bandung. By using descriptive research methods with a qualitative approach, this research revealed that several students experienced an addiction to playing online games which had an impact on various aspects of their behavior. Some of the changes observed include increased emotionality, inability to obey rules, and lack of manners due to the habit of speaking harshly while playing games. This research also found that students more often play games outside the school environment, with the main motivation coming from the excitement and feeling of wanting to win that they get from the game. Although there are several positive impacts such as increasing focus, foreign language skills, and expanding friendship networks, the more dominant negative impacts are seen on students' social behavior, such as irritability, lack of healthy social interactions, and difficulty in managing study time. This research suggests several efforts to overcome this addiction, including limiting playing time, finding new hobbies, and placing gaming devices outside the bedroom.

PENINGKATAN LITERASI KEUANGAN UNTUK MEMBANGUN INTEGRITAS ANAK-ANAK SEKOLAH KELURAHAN TANAH ENAM RATUS KECAMATAN MEDAN MARELAN

Financial literacy is the knowledge, skills and beliefs that influence attitudes and behaviors to improve the quality of decision-making and financial management to achieve public financial welfare. The understanding of financial literacy is one of the things that must be strengthened so that people can become wiser in making financial decisions. The results of observations and interviews conducted in Kelurahan Tanah Enam Ratus, Medan Marelan Subdistrict, we describe how many children spend their money to play online games on mobile applications, even they are not aware of topping up games repeatedly. This community service activity aims to provide an understanding of financial literacy and integrity from an early age, so as to improve the quality of students' insights, knowledge, value skills and attitudes. The implementation of this service at Harapan Bangsa Islamic Elementary School, Neighborhood VI, Tanah Enam Hundred Village. The students will be taught to learn independently and practice not relying on their parents from an early age through saving habits. The method used is through observation, interviews and theoretical presentation and training which begins with an explanation related to financial literacy and integrity. Direct explanation and training to students through financial literacy simulations by saving money carried out for seven days by putting it into each envelope. The implementation of financial literacy activities for students in schools to build integrity is expected to produce a generation that can manage their finances wisely and form individuals to be responsible and trustworthy. This service is expected to improve financial literacy and integrity attitudes so as to foster students' interest in saving from an early age and teach discipline and careful planning as well as increasing awareness to achieve success in the future.

Aggressive Behavior in the Perspective of Extroverted and Introverted Personality Types of Online Game Users

This study aimed to investigate the relationship between extroverted and introverted personality types and aggressive behaviour in online game users. The research focuses on teenagers who are avid players of the popular online game Player Unknown's Battlegrounds (PUBG). This research method uses a quantitative-descriptive approach with 127 adolescents aged 12-16 years who have played or are playing online games. We took samples based on incidental sampling techniques found in game centers. The results showed that extroverted and introverted personality types contributed to aggressive behaviour in adolescent online game users both partially and simultaneously.

How online pro-environmental games affect users’ pro-environmental behavioural intentions? — Insights from Ant Forest

Information technology has created new ways for people to participate in environmental protection. Ant Forest, a pro-environmental game that actively encourages users to take part in offline environmental activities through online gaming content, has gained great popularity. However, research in this area is still limited, and the effect of playing such games on users' pro-environmental intentions in real life and the underlying mechanisms are unknown. Therefore, this research draws from Persuasive Systems Design model and value theory and examines the relationships between design features of Ant Forest, users' values and their pro-environmental behavioural intentions. The research model is empirically tested by survey data from 428 Ant Forest users. Results indicate that users' self-enhancement values, including utilitarian, hedonic and social values, and self-transcendence values, including altruistic and biospheric values, all positively affect their continued gameplay intentions and therefore affect their pro-environmental behavioural intentions. Additionally, the primary task support, social support, dialogue support, and system credibility of Ant Forest have varying positive effects on users’ perceived values.

Gaming as a Representation of Urge and Passion: A Thematic Analysis of Online Gamers

The meaning of playing online games is important to explore to understand why playing online games is a passionate activity for enthusiastic and problematic gamers. Semi-structured interviews were used to collect data from 20 gamers (Male, 19-24 years old) who intensely play online games. Through the interpretative phenomenological analysis (IPA) technique, the meaning of the essential or basic things from the participants life experiences was sought. The results showed that the experience of craving and urge emerged as themes in the decision-making process to continue playing online games even though they realized the negative impact of being too fixated on playing games. Keywords: craving, passion, problematic gamers, thematic analysis, urge

Towards an automated approach for understanding problematic gaming.

Video games have become increasingly popular worldwide, attracting billions of gamers across diverse demographics. While studies have highlighted their potential benefits, concerns about problematic gaming behaviors have also emerged. Conditions such as Internet Gaming Disorder (IGD) have been recognized by major health organizations, necessitating accurate diagnostic tools. However, existing methods, primarily reliant on self-report questionnaires, face challenges in accuracy and consistency. This paper proposes a novel technological approach to provide gaming behavior indicators, aiming to offer precise insights into gamer behavior and emotion regulation. To attain this objective, we investigate quantifiable gaming behavior metrics using automated, unobtrusive, and easily accessible methods. Our approach encompasses the analysis of behavioral telemetry data collected from online gaming platforms and incorporates automated extraction of gamer emotional states from face video recordings during gameplay. To illustrate the metrics and visualizations and demonstrate our method's application we collected data from two amateur and two professional gamers, all of whom played Counter-Strike2 on PC. Our approach offers objective insights into in-game gamer behavior, helping health professionals in the identification of patterns that may be difficult to discern through traditional assessment methods. Preliminary assessments of the proposed methodology demonstrate its potential usefulness in providing valuable insights about gaming behavior and emotion regulation. By leveraging automated data collection and visualization analysis techniques, our approach offers a more comprehensive understanding of gamer behavior, which could enhance diagnostic accuracy and inform interventions for individuals at risk of problematic gaming behaviors. Our findings demonstrate the valuable insights obtainable from a tool that collects telemetry data, emotion regulation metrics, and gaming patterns. This tool, utilizing specific indicators, can support healthcare professionals in diagnosing IGD and tracking therapeutic progress, potentially addressing challenges linked to conventional IGD assessment methods. Furthermore, this initial data can provide therapists with detailed information on each player's problematic behaviors and gaming habits, enabling the development of personalized treatments tailored to individual needs. Future research endeavors will focus on refining the methodology and extending its application in clinical settings to facilitate more comprehensive diagnostic practices and tailored interventions for individuals at risk of problematic gaming behaviors.

Exploring different technology addiction types in young adults: a latent profile analysis

This study aimed to examine the different latent profiles of technology addiction in young adults, and the criteria for belonging to these profiles, in relation to sociodemographic factors (gender and SES) and technology use status (daily social network usage time, daily instant messaging usage time, daily online gaming usage time, daily website usage time, and connection location). Data were collected from a sample of 1,431 young adults [988 (69.1%) female, 443 (30.9%) male]. Latent Profile Analysis (LPA) was used to identify the latent profiles, and Multinomial Regression Analysis was employed to examine the relationships between the latent profiles and sociodemographic and technology use. The LPA revealed four latent profiles of technology addiction in young adults: “Non-Addicts (NA)”, “Moderate Technology Addicts-Gamers (MTAG)”, “High Technology Addicts-Non-Gamers (HTANG)”, and “High Technology Addicts-Gamers (HTAG)”. The criteria for belonging to these four profiles were statistically significantly related to sociodemographic and technology use factors, except for connection location, and age. These findings provided further support for our knowledge about planning programs or multi-layered intervention models to prevent technology addiction in young adults.

Link between Wi-Fi, cordless devices, mobile phone usage patterns, and behavioral problems among Japanese children: A prospective cohort study

BackgroundWith the recent advent of technology, it is important to confirm the health and safety of the youth. This study aimed to prospectively evaluate the relationship between Wi-Fi, cordless phones, and mobile phone usage patterns and behavioral problems. MethodsThis study involved 2465 children aged 8–17 years from the Hokkaido Study on Environment and Children’s Health from October 2020 to January 2021, with a follow-up from September 2021 to March 2022. The mother–child dyad provided information on the presence of residential Wi-Fi and cordless phones, cordless phone call duration, and mobile phone usage pattern (duration of calls using mobile network and internet, online audio streaming, online video streaming, and playing online games) via a baseline questionnaire. Based on the scores on Strength and Difficulties Questionnaire at baseline and follow-up, the children were categorized into four groups: normal, persistent, improved, and concurrent. ResultsNo significant association was found between Wi-Fi, mobile phone calls via mobile networks, and behavioral problems. Cordless phone at home had higher odds for improvement in total difficulty scores, and cordless phone for calling more than 4 min per week had lower odds of persistent problematic prosocial behavior. Longer duration of mobile phone calling via the internet (>40 min/week) had higher odds of concurrent total difficulties. Mobile phone calling via mobile network for <5 min per week had higher odds for improved total difficulty scores. Audio streaming via mobile phones for 60–120 min had lower odds of persistent total difficulties. ConclusionOur results showed sporadic findings between residential RF-EMF indoor sources and mobile phone usage pattern. These observed findings could be affected by residual confounding and chance findings. Ongoing follow-up studies are necessary to further explore this association through detailed exposure assessment and addressing the potential limitations of our study.

Comparative Effectiveness of Developed Serious Game Versus Standardized Patients' Simulation in Nursing Education.

Background: Serious games provide a realistic environment in nursing education, a stimulating and experiential learning environment for developing skills necessary for learning, recognizing, analyzing, selecting, and applying information. Methods: This study aims to determine the impact of serious games and standard patient practices developed for nursing education on students' knowledge levels, satisfaction, self-confidence, critical thinking, and problem-solving skills. A serious game was designed using the educational principles of the diabetes course and developed using the 3D interactive content creation platform UNITY. One group played the game online, whereas another had a face-to-face experience. Both groups completed forms before, after, and 4 weeks later via Google Forms. Results: Quantitative analysis showed significant improvements in knowledge and increases in student satisfaction and confidence in learning in both the serious game and standardized patient groups. The groups had no significant differences in problem-solving and critical-thinking abilities (P > 0.005). Conclusion: Developing advanced clinical proficiencies in nursing students requires an engaging and reliable educational environment. Using serious games and standardized patient simulations in nursing instruction highlights the need for diverse digital teaching tools. Therefore, it is essential to support the professional development of nursing educators in these innovative modalities.

MPMNet: A Data-Driven MPM Framework for Dynamic Fluid-Solid Interaction.

High-accuracy, high-efficiency physics-based fluid-solid interaction is essential for reality modeling and computer animation in online games or real-time Virtual Reality (VR) systems. However, the large-scale simulation of incompressible fluid and its interaction with the surrounding solid environment is either time-consuming or suffering from the reduced time/space resolution due to the complicated iterative nature pertinent to numerical computations of involved Partial Differential Equations (PDEs). In recent years, we have witnessed significant growth in exploring a different, alternative data-driven approach to addressing some of the existing technical challenges in conventional model-centric graphics and animation methods. This article showcases some of our exploratory efforts in this direction. One technical concern of our research is to address the central key challenge of how to best construct the numerical solver effectively and how to best integrate spatiotemporal/dimensional neural networks with the available MPM's pressure solvers. In particular, we devise the MPMNet, a hybrid data-driven framework supporting the popular and powerful MPM, to combine the comprehensive properties of MPM in numerically handling physical behaviors ranging from fluid to deformable solids and the high efficiency of data-driven models. At the architectural level, our MPMNet comprises three primary components: A data processing module to describe the physical properties by way of the input fields; A deep neural network group to learn the spatiotemporal features; And an iterative refinement process to continue to reduce possible numerical errors. The goal of these special technical developments is to aim at involved numerical acceleration while preserving physical accuracy, realizing efficient and accurate fluid-solid interactions in a data-driven fashion. The extensive experimental results verify that our MPMNet can tremendously speed up the computation compared with the popular numerical methods as the complexity of interaction scenes increases while better retaining the numerical accuracy.

Ready player one: The world of online gamers who play multiplayer games alone

Ready player one: The world of online gamers who play multiplayer games alone

Lipid profile in adolescents and young adults with online game addiction

Lipid profile in adolescents and young adults with online game addiction

Feasibility of gamified visual desensitisation for visually-induced dizziness

Visually-induced dizziness (visual vertigo) is a core symptom of Persistent Perceptual Postural Dizziness (PPPD) and occurs in other conditions and general populations. It is difficult to treat and lacks new treatments and research. We incorporated the existing rehabilitation approach of visual desensitisation into an online game environment to enhance control over visual motion and complexity. We report a mixed-methods feasibility trial assessing: Usage and adherence; rehabilitation potential; system usability and enjoyment; relationship with daily dizziness. Participants played online with (intervention, N = 37) or without (control, N = 39) the visual desensitisation component for up to 5–10 min, twice daily for 6 weeks. Dropout was 45%. In the intervention group, N = 17 played for the recommended time while N = 20 played less. Decreases in visual vertigo symptoms, anxiety and depression correlated with playtime for the intervention but not control. System usability was high. Daily symptoms predicted playtime. Qualitative responses broadly supported the gamified approach. The data suggest gamified visual desensitisation is accessible, acceptable and, if adherence challenges can be overcome, could become a useful addition to rehabilitation schedules for visually-induced dizziness and associated anxiety. Further trials are needed.

Efektivitas Layanan Konseling Kelompok dalam Mengurangi Kecanduan Game Online pada Siswa

The experience of playing online games can make players feel happy and can eventually lead to addiction or dependence. Online game addiction can have an unfavorable impact on several aspects of student life. The purpose of this study is to see the effectiveness of the implementation of group counseling services in reducing online game addiction. This study used a quantitative approach using experimental methods. The research design used is pre-experiment, using a one group pretest and posttest design. The population in this study were phase F students at SMA Negeri 1 Lubuk Basung, the sampling technique used purposive sampling technique, then based on the appropriate criteria, 12 students were obtained who experienced online game addiction. The technique used to collect data is by distributing online game addiction scales, then the results are analyzed using the Wilcoxon Signed Ranks Test formula. The results showed that the implementation of group counseling services was effective in reducing online game addiction in students at SMA Negeri 1 Lubuk Basung. In particular, the use of group counseling services can significantly reduce online game addiction.

Predicting Online Gaming Behaviour Using Machine Learning Techniques

Understanding player behaviour in online gaming is essential for enhancing user engagement and retention. This study utilizes a dataset from Kaggle, capturing a wide range of player demographics and in-game metrics to predict player engagement levels categorized as 'High,' 'Medium,' or 'Low.' The dataset includes features such as age, gender, location, game genre, playtime, in-game purchases, game difficulty, session frequency, session duration, player level, and achievements. The research employs a Gaussian Naive Bayes model, with data pre-processing steps including feature selection, categorical data encoding, and scaling of numerical features. The dataset is split into training (80%) and testing (20%) sets, and a 5-fold cross-validation is used to ensure model robustness. The model's performance is evaluated using accuracy, precision, recall, and F1-score. The results show consistent performance across different folds, with an average accuracy of 84.27%, precision of 85.59%, recall of 84.27%, and F1-score of 83.98%. These findings indicate that the Gaussian Naive Bayes model can reliably predict player engagement levels, identifying significant predictors such as session frequency and in-game purchases. The study contributes to game analytics by providing a predictive model that can help game developers and marketers design more engaging gaming experiences. Future research should incorporate a broader range of features, including psychological and social factors, and explore other machine learning algorithms to enhance predictive accuracy. This study's insights are valuable for developing strategies to improve player retention and satisfaction in the gaming industry.

Klasifikasi Perilaku Pemain Game Online Menggunakan Naïve Bayes Berbasis Particle Swarm Optimization

Much research has been conducted to understand player behavior as a result of the rapid growth of online gaming. In this research, we use the Naive Bayes method optimized using Particle Swarm Optimization (PSO) to analyze the behavior classification of online game players. The classification accuracy value of the baseline method is 75.09% and the Area Under the Curve (AUC) value is 0.798. We use PSO-based optimization on Naïve Bayes to improve model performance. The results showed that the combination of Naïve Bayes and PSO increased classification accuracy to 95.28% with an AUC value of 0.990. This is a major advance that shows that combining the PSO algorithm with Naive Bayes can enable better classification of online game player behavior. These findings will make a significant contribution to the process of making plans that can improve the gaming experience.

ANAGRAM-BASED EVALUATION OF GOLEK KUDUP SARI DANCE LEARNING NEEDS FOR JUNIOR HIGH SCHOOL STUDENTS

This research aims to discover the results of the innovation of learning evaluation of Golek Kudup Sari Dance based on anagram games at SMPN 2 Bumijawa. In general, the dance learning model at SMPN 2 Bumijawa is still conventional including the evaluation process. Furthermore, an online media-based learning and evaluation process was developed. The research method used in this research is Research and Development. The data collected in this research is qualitative data in the form of empirical data. The results showed that anagram game-based evaluation is very efficient to be applied to dance learning at SMPN 2 Bumijawa. The conclusion obtained in the research is that anagram-based Golek Kudup Sari Dance learning is needed by teachers and students as an innovative curriculum implementation. In a sustainable manner, the process of learning dance through online games at SMPN 2 Bumijawa is expected to continue to be applied and developed further.

Correlation Between Online Game Addiction and Social Adjustment in Teenage Mobile Legend Players

This research aims to find out whether there is a relationship between online game addiction and social adjustment in teenage mobile legend players. This research uses a quantitative correlation approach with a sampling technique using Accidental Sampling. a total of 176 samples. From the results of data analysis, the correlation coefficient (rxy) was obtained with a positive value, namely 0.473, with a sig value. (p calculated) = 0.0001 or p &lt; 0.05 which shows that the relationship between the two variables is significant. This indicates that young mobile legend players are quite capable of controlling and controlling when playing mobile legend games.

Assessment of Efficacy and Safety of Mangifera indica Extract (Stadice®) for Cognitive Function: A Randomized, Double-Blind, Placebo-Controlled Study.

Background and objectives Stadice® is a proprietary herbal ingredient preparation standardized to mangiferin, developed to support cognitive wellness in healthy adults. Mangifera indica extract and its active constituent, mangiferin were known for its positive cognitive health benefits at experimental levels. This was an attempt to evaluate the clinical efficacy and safety of Stadice® on healthy subjects. Materials and methods A randomized, double-blind, placebo-controlled clinical study was designed to study the efficacy and safety of Stadice®. Sixty healthy subjects who were regularly playing virtual/mobile/computer/laptop games online or offline were asked to consume a capsule containing 300 mg of Stadice® or placebo per day for seven days. Cognitive ability tests, that were part of the NIMHANS Neuropsychological Battery and Auditory verbal learning tests were used to assess the cognitive health effects. Psychological stress response, anxiety, mood, subjective working memory, and cortisol levels were also assessed. All assessments were carried out at the baseline and at the end of the study. Results Stadice® was found to significantly improve mental speed, attention, working memory, response inhibition, and verbal learning and memory as evidenced by the results of the multiple cognitive ability tests. Additionally, Stadice ® showed beneficial responses in managing psychological stress in terms of handling nervousness, irritability, or mood swings. No safety concerns were found in the laboratory safety test parameters as they were within the normal physiological range and no adverse events were reported in this study. Conclusion The proprietary Mangifera indica extract (Stadice®) holds promise for enhancing cognitive abilities in healthy adults, particularly those engaged in esports. Improvements in learning, memory, mental speed, attention, response inhibition, and working memory among participants supplemented with Stadice® were observed with a good safety profile. Further exploration is warranted to ascertain its broader applicability as well as to elucidate the possible mechanisms.