Voice Chat Research Articles

The Landscape of Sexual Harm in the Video Game, Streaming, and Esports Community.

While sexual harm has been studied across a range of contexts, it has not yet been considered within the video game, streaming, and esports community. This study aimed to explore the landscape of sexual harm in this community, specifically, where it has been committed by esports professionals and video game live streamers. Fifty-five victim statements were extracted from online sources (such as Twitter/X and Reddit) and coded into variables relating to offender and victim demographics, offense characteristics, the offense process, and platform(s) used. Descriptive statistics were generated for each variable and Fisher's exact tests were conducted to examine the differences between adult-on-adult and adult-on-child cases. The findings reveal diverse offense outcomes across the sample, ranging from rape to sexual communication with a child. Some offense patterns can be seen in wider sexual offending literature, such as pre-offense alcohol consumption, offending against incapacitated victims (e.g., sleeping), and offending within an established romantic relationship. However, several offense process characteristics unique to the video gaming community were identified. These included offenders using their position of fame within the community to access victims and bypass the need for other coercive behaviors. Online offenses were more common with children and offenders demonstrated a preference for "live" methods, such as voice chat and video calling, rather than instant messaging or sharing images of themselves. This limits the digital evidence left behind and indicates the offenders' greater technological literacy. The study's findings shed light on the sexual harm that exists within this previously unexplored context and highlight areas where esports organizations, live-streaming platforms, and educational providers can do more to safeguard players, fans, and viewers in this community.

Design of Intelligent Chatbot for Stress Management

This paper focuses on using natural language processing (NLP) in chatbots to manage stress in war-affected countries. A Java-based chatbot was designed to alleviate stress using two algorithms: TextRank and Stanford_CoreNLP. The problem was solved by integrating different languages using a plugin. The chatbot was tested with fifteen people and received positive feedback. Modifications were made based on user feedback, with journaling being a winner. However, the chatbot faced limitations like lack of Arabic language support and voice chat feature.

Virtual Communication Patterns of Mobile Legends Gamers' Journalism in Youth Sarcasm Actions in Kisaran City, Asahan Regency

Game journalism is a field of journalism that focuses on the gaming industry and gaming culture. Online gaming journalism is the process of reporting and making news about the online gaming industry and esports content. Mobile Legend is one of the MOBA games available for mobile play. Ten players in two teams typically play these games, following a five-versus-five format. In Mobile Legends, users have the ability to communicate through the virtual world. The process of virtual communication involves conveying messages to others within the virtual environment. This study aims to determine how the virtual communication patterns used by mobile gamers influence the sarcasm of the Asahan district's remains. The results of this study show that mobile Legends gamers in the district are more likely to use the voice chat and manual chat features as a virtual communication tool to convey the circus words or sentences that players use in mobile Legends online games. Then, gamers employ circular communication patterns, which involve a message delivery process that allows both communicators to exchange functions. As is the case with a player who starts commenting on a bad game from another player, that comment is given feedback against the commentator and can be replied to by the team member to give another feedback. This study employs qualitative research methods such as library study, observation and interview techniques, virtual ethnography methods, and documentation as an additional method.

Trash Talking in Virtual Communication: A Study of Community Symbolic Interactions Game Online Pubg Mobile Nostra Bone

This research discusses communication behaviortrash talking what happens insidegame online PUBG Mobile through virtual communication features vizchat and voice chat which allows users to interact with other players. This research aims to analyze behavior trash talking Nostra Bone teenager in play game online PUBG mobile. The type of research used is descriptive qualitative. Primary data was obtained based on the results of observations and interviews with the Nostra Bone youth group, a community game online PUBG Mobile in Bone Regency, South Sulawesi Province. Research shows that behavior trash talking what Nostra Bone teenagers do when playing game online PUBG Mobile, namely the motivation and duration of playing PUBG Mobile which varies depending on each player's preferences, use of features chat and voice chat which is used to communicate virtually between players, and trash talking when playing PUBG mobile, it takes the form of aggressive communication carried out by players, among others flaming, that is, send chat and voice chat which is offensive in nature in the form of using harsh words, insulting or degrading other players.

Metaverse Virtual Communication Through Roblox Games For Teenagers

The sophistication of technology has given rise to new trends among teenagers which are not only used to fill the need for information, but can also be used as entertainment that can be accessed without the limitations of space and time. Virtual communication is one way for teenagers to convey messages without having to meet in person. This is inseparable from the presence of the metaverse which has emerged as part of a means of communication which indirectly plays a role in forming interaction patterns in exchanging information among teenagers, one of which can be accessed through the Roblox game. The aim of this research is to determine virtual communication in the metaverse world among teenagers through the Roblox game. This research method is descriptive qualitative with theory using the basic concepts of virtual communication Werner J. Severin and James W. Tankard with data collection techniques using observation, interviews and literature study. The result is virtual metaverse communication through the Roblox game for teenagers, where in Roblox there is voice chat which is a means of virtual communication.

Analysis of Value Benefits Contained in Mobile Legends E-Sport

Researchers want to explore the public's response about the impacts that have occurred after e sports entered Central Java Province through several aspects, namely economic impacts, industry, community development, positive and negative impacts. This research uses qualitative research methods with a phenomonological approach. Data collection techniques use documentation, observation and interviews. The data analysis technique uses data collection, data reduction, data presentatio n, drawing conclusions and verification. There are many benefits and values contained in mobile legends e sports, starting from th e benefits of working together in an e sports team during a match, having very high social value even though you don't meet each other, you can socialize online when playing e sports. The benefits and values contained in e sport Mobile Legends, playing e s port games can be a means of self actualization to become students with character, skill and quickness in making decisions, thereby achieving achievements. The benefits that are most felt in the economic sector can be increased by the existence of e sports . There is social value in e sports because in the game there is a chat feature, or a voice chat feature.

Social Safety in Games: Moderating Voice Chat in the Metaverse

Social Safety in Games: Moderating Voice Chat in the Metaverse

Synchronous computer-mediated communication and task-based learning in the EFL classroom

Synchronous computer-mediated communication (SCMC) offers second/foreign language (L2/FL) learners’ interactional environments that are unique to face-to-face (F2F) communication. Such modes have the potential to facilitate better learning outcomes under certain conditions. The aim of this study was to compare the capacity of two online modes – text chat and voice chat – to promote uptake of targeted vocabulary in an English as a foreign language (EFL) classroom setting. Three distinct tasks (opinion exchange, dictogloss, problem-solving task) were used to measure the effectiveness of both modes to facilitate immediate and delayed uptake compared to F2F communication. The study investigated: (1) how task design and communication mode affected EFL uptake; (2) the effect time allocation had; and (3) the degree to which task perceptions differed depending on communication mode. The effectiveness of the three modes and tasks was measured using a series of pre-tests and post-tests. Post-questionnaires and interviews were also conducted to gain insight into the participants’ perceptions of the tasks. The investigation revealed both similarities and differences in the way SCMC and F2F communication affected learner uptake and demonstrated that certain task design features, such as input, time allocation, and goal orientation, can play a role in the effectiveness of text chat and voice chat to promote uptake in the EFL classroom.

APLIKASI KONSEP 6C DALAM PENGAJARAN DAN PEMBELAJARAN DALAM KALANGAN GURU-GURU PENDIDIKAN MORAL SJKT DAERAH KUALA MUDA

Acceptance of 21st century learning characteristics among Moral Education teachers in Tamil National Primary Schools (SJKT) in Kuala Muda District was found to be still at a low level, especially the 6C application. Therefore, this study aims to review the application of the concept 6C among Moral Education teachers at SJKT in Kuala Muda District. The design of this study uses a qualitative approach using purposive sampling. Questionnaire data was obtained from a questionnaire that was emailed in Google Forms to 6 selected study participants. Study participants can access the questionnaire through a link provided via Whatsapp. In addition to questionnaires, researchers also used observation methods, document analysis and transcription of conversations through voice chat. Data analysis shows that the application of the 6C concept among the study participants is at a moderate level. Only 3 study participants mastered the 6C competency skills at a good level and the remaining 3 people were still at a low level. Even so, the Ministry of Education still has room to improve the 6C application among Moral Education teachers at SJKT in Kuala Muda District through Professional Development Courses. Researchers have the opportunity to study the impact of training on the application of 6C.

Communication Between Gamers in the Mobile Legends Bang Bang Online Game Group (Qualitative Descriptive Study of the WWE Company Mobile Legends Online Game Community)


 
 
 
 
 
 
 This qualitative research investigates the dynamics of group communication within the online game Mobile Legends: Bang Bang. The study aims to explore how effective communication and positive interactions among players can be fostered within the game, resulting in mutual understanding and cooperation. Employing a case study approach, the researcher conducted interviews with five Mobile Legends: Bang Bang players. Drawing on Laswell's communication theory, which encompasses the elements of who, says what, through which media, to whom, and with what effects, the study highlights the online communication capabilities provided by the game, such as chat and voice note features. Through these features, players can engage in effective online communication without the need for physical meetings. The research findings reveal that Mobile Legends: Bang Bang facilitates the formation of communities, allowing players to establish connections and build relationships beyond the game. The study concludes that despite the presence of in-game noise, the communication among gamers within a group is highly effective, with players predominantly utilizing chat features and symbols during gameplay for efficient communication. After each match, players further engage in voice chat discussions to analyze game outcomes and address challenges faced during gameplay. This research sheds light on the significance of effective communication in online gaming communities and highlights the potential for building strong player connections and fostering positive interactions in virtual environments
 
 
 
 
 
 
 
 Highlights:
 
 Effective communication: The study highlights the importance of effective communication in fostering collaboration and understanding among players in the online game Mobile Legends: Bang Bang.
 Communication tools: The research identifies the significance of chat features and voice chat in facilitating communication and coordination during gameplay and post-match discussions.
 Building connections: The findings emphasize the potential of online gaming communities, such as Mobile Legends: Bang Bang, in enabling players to form relationships and establish connections beyond the virtual environment, enhancing the overall gaming experience.
 
 Keywords: Group communication, Online gaming, Mobile Legends: Bang Bang, Chat features, Voice chat

Talk Over: A Voice Chat Web Application based on WebRTC

Talk Over: A Voice Chat Web Application based on WebRTC

Pelaksanaan Pembelajaran Matematika Melalui Moda dalam Jaringan Menurut Perspektif Guru, Siswa dan Orang Tua

The purpose of this study was to find out how the implementation of mathematics learning through an online system during social/physical distancing situations from the perspective of teachers, students, and parents. This type of research is qualitative research using a literature study and interviews. The subjects in this study were teachers, students, and parents of grade VIII students at SMP Negeri 1 Jatibarang in the 2020/2021 school year. The result of this research is that the mathematics learning process is carried out online using Google Classroom media, Whatsapp, voice chat, and Google Form. However, the implementation process is not optimal. Many perspectives on the process of learning mathematics through an online system implemented in rural areas during the Covid-19 pandemic do not agree that the learning process is carried out online. Because, there are many obstacles faced such as unstable networks, additional expenses to buy quotas, tedious learning, not all students have smartphones, materials that are difficult to understand, and not achieving Basic Competence (KD).

A Theory-Driven Deep Learning Method for Voice Chat–Based Customer Response Prediction

A Theory-Driven Deep Learning Method for Voice Chat–Based Customer Response Prediction In this study, we target the task of voice chat–based customer response prediction in an emerging online interaction–based commercial mode, the invite-online-and-experience-in-store mode. Prior research shows that satisfaction, which can be revealed by the discrepancy between prior expectation and actual experience, is a key factor to disentangle customers’ purchase intention, whereas black box deep learning methods empirically promise us with advantageous capabilities in dealing with complex voice data, for example, text and audio information incorporated in voice chat. To this end, we propose a theory-driven deep learning method that enables us to (1) learn customers’ personalized product preferences and dynamic satisfaction in the absence of their profile information, (2) model customers’ actual experiences based on multiview voice chat information in an interlaced way, and (3) enhance the customer response prediction performance of a black box deep learning model with theory-driven dynamic satisfaction. Empirical evaluation results demonstrate the advantageous prediction performance of our proposed method over state-of-the-art deep learning alternatives. Investigation of cumulative satisfaction reveals the collaborative predictive roles of theory-driven dynamic satisfaction and deep representation features for customer response prediction. Explanatory analysis further renders insights into customers’ personalized preferences and dynamic satisfaction for key product attributes.

BattleSound: A Game Sound Benchmark for the Sound-Specific Feedback Generation in a Battle Game

A haptic sensor coupled to a gamepad or headset is frequently used to enhance the sense of immersion for game players. However, providing haptic feedback for appropriate sound effects involves specialized audio engineering techniques to identify target sounds that vary according to the game. We propose a deep learning-based method for sound event detection (SED) to determine the optimal timing of haptic feedback in extremely noisy environments. To accomplish this, we introduce the BattleSound dataset, which contains a large volume of game sound recordings of game effects and other distracting sounds, including voice chats from a PlayerUnknown's Battlegrounds (PUBG) game. Given the highly noisy and distracting nature of war-game environments, we set the annotation interval to 0.5 s, which is significantly shorter than the existing benchmarks for SED, to increase the likelihood that the annotated label contains sound from a single source. As a baseline, we adopt mobile-sized deep learning models to perform two tasks: weapon sound event detection (WSED) and voice chat activity detection (VCAD). The accuracy of the models trained on BattleSound was greater than 90% for both tasks; thus, BattleSound enables real-time game sound recognition in noisy environments via deep learning. In addition, we demonstrated that performance degraded significantly when the annotation interval was greater than 0.5 s, indicating that the BattleSound with short annotation intervals is advantageous for SED applications that demand real-time inferences.

Development of Social Virtual Reality (SVR) as Collaborative Learning Media to Support Merdeka Belajar

Merdeka Belajar (the freedom to learn) in Indonesia emerged indirectly with the COVID-19 pandemic. Merdeka Belajar is a form of learning that aims to create an innovative, non-restrictive learning culture. With this idea, the development of online education is growing rapidly from online meetings to a virtual format and the development of online resources, rapidly available and broadly accessible. Social virtual reality (SVR) refers to popular 3D virtual spaces in which multiple people can engage with one another. This research aims to develop an SVR application as learning media by implementing Meta Avatar SDK with voice chat and lip sync features to mimic facial expressions. Based on the performance testing results, the application can render at an average of 76 frames per second. Based on the results of trials to 14 respondent, we measure satisfaction and interest level using the PIECES (performance, information and data, economics, control and security, efficiency, and service) Framework. The average value of interest is 4.19 and the average value of satisfaction is 4.13. This proves that the respondents are interested

Modifikasi Pembentukan Algoritma Rc4 Cipher Dengan Metode Acak Mid-Square Technique Untuk Pengamanan Voice Chat

Technological developments and human lifestyles allow access to information systems in new ways, for example using online conversations (chat) via an internet connection, which is often in the form of text communication (text chat) or voice (voice chat). Instant messaging only became popular when the internet began to be widely used in the mid-1990s. Along with the human need for easy and fast communication, the application that can be used is Voice Chat which allows users to carry out voice communication. But the voice chat application is less secure because it is easily intercepted by other parties. Eavesdroppers can easily find out the contents of conversations in instant messaging and the lack of privacy for chat users. The RC4 algorithm has a weakness in its use to encrypt a message. The downside is that Vigenere can only perform encryption and decryption processes for short messages. One way that can be used is to make security for the voice chat application using the Mid-Square Technique algorithm

VOICE CHAT WEB APP USING WEBRTC

Technology improvements have made it possible to communicate more effectively. New technologies have improved existing communication routes. Some real-time communication systems include limitations, such as the need for additional software plugins and downloads to enable real-time communication, as well as security problems. Web Real-time Communication (WebRTC) is a technology that may be able to assist in the resolution of these issues. Thanks to advancements in internet technology, people may now easily access the internet. With the help of technological improvements, the internet is providing an increasing variety of services, all of which can be virtualized. People's internet communication has become ingrained in their daily lives. People used to communicate with one another by exchanging voice chat messages via the internet.In order to achieve scalability, the platform also makes use of cloud computing. The iterative platform architectural design is revealed, as well as some preliminary scalability analysis results.

The acoustic profiles of vocal emotions in Japanese: A corpus study with generalized additive mixed modeling

This study investigated the vocal emotions in Japanese by analyzing acoustic features from emotional utterances in the Online Gaming Voice Chat Corpus with Emotional Label (Arimoto and Kawatsu, 2013). The corpus contains the recorded sentences produced in 8 emotions by four native Japanese speakers who are professional actors. For acoustic feature extraction, Praat script ProsodyPro was used. Principle component analysis (PCA) was conducted to evaluate the contribution of each acoustic feature. In addition, a linear discriminant classifier (LDA) was trained with the extracted acoustic features to predict the emotion category and intensity. A generalized additive mixed model (GAMM) was performed to examine the effect of gender, emotional category, and emotional intensity on the time-normalized f0 values. The GAMM’s results suggested the effects of gender, emotion, and emotional intensity on the time-normalized f0 values of vocal emotions in Japanese. The recognition accuracy of the LDA classifier reached about 60%, suggesting that although pitch-related measures are important to differentiate vocal emotions, bio-informational features (e.g., jitter, shimmer, and harmonicity) are also informative. In addition, our correlation analysis suggested that vocal emotions could be conveyed by a set of features rather than some individual features alone.

Communication in online games on the example of own research

Aim. The aim of the research was to identify the ways in which users of online games communicate. The author of the article attempted to answer the question of whether these interactions differ depending on the age and gender of the players.
 Methods. The research was carried out in quantitative orientation on a group of 154 subjects: players who use the Facebook social platform. The research technique was an online survey.
 Results and conclusion. The study showed that Internet users most often use text chat. Communication among women is also popular with the help of the pre-set character animations and sound signals in the game. Men communicated in some ways similar to women: via text chat, character animations and in-game beeps, although they also indicated frequent communication via voice chat. It also turned out to be a myth that women do not like games. The study found that younger gamers spend more time gaming than the older gamers and prefer communication channels such as text chat, character animations and in-game signals.
 Cognitive value. I consider the topic discussed in the article current, important and necessary due to the fact that the virtual and real worlds overlap more and more. People make friends not only in direct contact but also via the Internet, e.g., in online gaming communities. The time of the pandemic and the associated home isolation confirmed the above conclusion

Efficacy of a new day surgery management mode based on WeChat: a study protocol for randomised controlled trials

IntroductionThere is an enormous imbalance between the rapid development of day surgery and the current conventional medical services. Hence, an effective day surgery management mode should be developed that can...