Interactive Entertainment Research Articles

Analysis of Digital Marketing Strategies in the Interactive Entertainment Industry: A Case Study of ‘Valorant’

This study aims to analyze the digital marketing strategies in the interactive entertainment industry and to conduct an in-depth discussion using Valorant as an example. With the advancement of technology and the change in people’s online habits, digital marketing plays an increasingly important role in the interactive entertainment industry. Understanding consumer behavior and intentions can help reflect and improve advertising and related fields. By distributing questionnaires to collect and analyze consumers’ attitudes and reactions to different marketing strategies, the study finds that the synergy between digital marketing and outdoor advertising significantly increased brand awareness and user engagement. Social media advertising attracts potential users, while outdoor advertising enhances brand visual impact and loyalty. Through the analysis of the successful “Valorant” case, this study reveals the critical factors of digital marketing in user acquisition, retention, and stickiness. It explores these strategies’ replicability and innovation in other interactive entertainment products. Meantime provides a valuable empirical reference for the industry.

Problems of copyright protection for gaming content

The article is devoted to a comprehensive study of the current issues of copyright protection of game content in the context of the rapid development of the video game industry. The study examines the peculiarities of legal protection of various elements of video games, including software code, audiovisual components, storylines and characters. It analyses the main challenges faced by developers and publishers in protecting their intellectual property rights, including unauthorised copying, piracy and unlicensed modifications. The author analyses the terminology of the industry, in particular, the concept of ‘video game’ which is widely used in international practice. At the same time, the author establishes that the term ‘computer game’ prevails in the European legal space. This terminological difference reflects regional peculiarities in approaches to classification and legal regulation of interactive entertainment products. Despite certain semantic differences, both terms cover electronic games operating on various digital platforms. With the development of online capabilities, video games have moved far beyond the isolated and closed subculture they once were. Video games now create an interactive virtual community and a thriving business that is part artistic expression, part sporting competition and part mass entertainment. A comprehensive analysis of a wide range of court precedents from different jurisdictions relating to the protection of rights to video content in the field of interactive entertainment was carried out. The study of these court decisions allowed the author to identify the key legal approaches and principles applied in cases of copyright infringement of video game elements. It is found that the differences between video games and other intellectual property objects have led to difficulties in determining the legal regime most appropriate to their specifics. Video games include a variety of constituent elements, many of which are eligible for legal protection. The growing involvement of video games in civilian circulation has given rise to the urgent problem of copyright protection for game content.

Simulation of street landscape design based on machine learning and entertainment design robots: An interactive entertainment design experience

Traditional design methods usually present design ideas through plans and models, but this method can not truly simulate the design effect. Therefore, this research aims to use computer game simulation and virtual robotics technology to provide a more interactive and realistic design experience. The study creates a virtual street environment with elements such as streets, buildings and vegetation through computer game simulation. Participants can move and interact in this environment through virtual robots, experience the process of street landscape design, adjust the street layout, add landscape elements, and observe the design effect in real time according to their own design intentions. Compared with traditional design methods, the experimental results show that the design experience using computer game simulation and virtual robot technology is more vivid, creative and interactive. Participants can better perceive the design effect and adjust the design scheme in real time. This interactive entertainment design experience method can help designers and participants better understand and evaluate the design scheme, and improve the design effect and participation.

Virtual ecological landscape design of theme parks based on entertainment robots and VR devices

Currently, the design of virtual ecological landscapes in theme parks has become an innovative form of entertainment. This study aims to explore how to construct virtual ecological landscapes in theme parks through entertainment robots and VR devices, in order to provide an interactive entertainment experience between tourists and nature. We have built an outdoor sensing system and collected environmental data through sensors. Implement motion control of entertainment robots through programming, enabling them to interact according to environmental changes. Then, through information control and feedback technology, interaction with tourists is achieved. Analyze the motion trajectory of robots to optimize their performance, use virtual reality technology for design and rendering, achieve interactive effects through VR development platforms, and optimize VR devices through controlled simulation technology to enhance the virtual experience of tourists. Finally, combining the principles of ecological landscape design with landscape design techniques, applying VR design technology to achieve the design of virtual ecological landscapes in theme parks, considering the layout and combination of natural elements, in order to create virtual landscapes that are similar to real ecology. Through the application of VR technology, tourists can experience the landscape changes under different seasons and weather conditions, increasing the fun and realism of interaction. The results indicate that the virtual ecological landscape design of the theme park has been achieved through the combination of entertainment robots and VR devices. Tourists can obtain an immersive entertainment experience through interaction with robots and the application of virtual reality technology. Through robot trajectory analysis and ecological landscape recognition technology, the landscape design effect is optimized.

Application of entertainment and fitness robots based on game interaction in sports training data analysis

This study aims to explore the application of sports data analysis of recreational fitness robots in sports training. By introducing interactive elements of games, recreational fitness robots can provide more interesting and challenging fitness experience, thus attracting more people to participate in sports training. Research and design and develop a game interactive entertainment fitness robot, with action recognition and user interaction functions, can perceive the user’s actions and make corresponding responses. When the user interacts with the robot, the sensor continuously collects and records data, establishes a data acquisition and storage system, analyzes and processes the collected interactive data, identifies the user’s movement pattern, assesses the user’s physical fitness level, and identifies potential improvement points. According to the user’s physical condition and training objectives, the appropriate exercise plan and game interaction mode are designed to provide better training results and entertainment experience. It is found that the game-based interactive entertainment fitness robot can effectively improve the user’s exercise motivation and participation in sports training. Through the analysis of sports data, we can develop personalized training plans according to the specific needs and goals of users, so as to achieve better training results.

Design and Development of the 3D Game "Catch Banana" Using Scratch 3

The game Catch Banana is designed using the Scratch 3D application as an interactive entertainment medium that educates users in the use of information technology. The game features a main character, a monkey, whose task is to catch as many bananas as possible with only one life. Each banana caught provides additional points, and players must reach a certain score to advance to the next level. This study aims to evaluate the effectiveness of the game as a medium of entertainment and learning for various age groups. The evaluation results indicate that Catch Banana provides an engaging and educational playing experience, successfully enhancing users' skills in using the Scratch 3D application.

Cardgame Design Project-Based Learning for a Graphic Design Course

Project-based learning is an effective method for students’ learning design. For the “Graphic Design for Interactive Entertainment” elective course, the author uses project-based learning to teach UI and UX design to Universitas Pelita Harapan’s Visual Communication Design Department students. For the project, the author designed a game mechanic. The students of the course later designed visuals for the game. One game that resulted from this project was “Pro Pickpockets”, a game about a group of pickpockets competing to collect valuable prizes for the best pickpockets. This paper elaborates on the design case of Pro Pickpockets as a design project and project-based learning for students in learning UI and UX.

Hybrid data clustering algorithm and interactive experience in E-learning electronic course simulation of legal education

With the development of multimedia technology, interactive entertainment experience is an important feature of online teaching mode. Students can engage in interactive learning through various mobile apps and online tools. E-learning provides an innovative way of learning that enables distance learning through electronic course simulation. The objective of this research is to design and develop an improved E-learning course simulation for law teaching by applying hybrid data clustering algorithms and enhancing interactive experiences to improve student engagement and learning outcomes. This article analyzes the simulation of legal education E-learning electronic courses based on mixed data clustering algorithms and interactive experiences. On the basis of the mixed data clustering model of the k-means algorithm, we propose a probability based mixed clustering model that can effectively handle the clustering problem of mixed data. Based on this algorithm, we have established a legal teaching network system platform based on artificial intelligence. The hybrid data clustering algorithm solves the instability problem of the k-means algorithm in the construction of the legal teaching network course platform, providing a reliable solution for the development of artificial intelligence network courses. Based on teaching concepts and combined with various technological characteristics such as network technology and multimedia technology in the information age, users who pass through this teaching system can fully utilize the teaching resources and various functions in the system. The hybrid data clustering algorithm proposed in this article has good clustering performance.

Application of E-Learning entertainment learning based on intelligent interactive experience in English reading assistance mode

In the process of E-Learning, interactive entertainment experiences and digital technology provide new models for strengthening the development of online education. This article studies the application of E-Learning entertainment learning based on intelligent interactive experience in English reading assistance mode. The E-Learning entertainment learning mode based on intelligent interactive experience focuses on creating interest and interaction, designing an interesting and stimulating learning environment, selecting appropriate technology tools to achieve E-Learning intelligent interactive experience, and designing appropriate learning content and activities according to learning objectives. Firstly, this article designs a semantic inference system that is more convenient in calculating and storing resources, and can perform semantic inference on uncertain knowledge. Secondly, this article delves into the basic principles of Bayesian network algorithms and explores the construction mechanism of Bayesian networks. Then compared with traditional algorithms, the accuracy and stability of this method were demonstrated. Digital technology and artificial intelligence provide new technological support for E-Learning, allowing students to better experience entertaining learning experiences and customize learning content according to personal needs, enhancing educational value. Experiments have shown that using computer-assisted English reading can effectively improve students’ English proficiency. This system not only reduces the boredom in traditional English reading, but also provides students with a brand new English learning atmosphere, which can effectively improve their learning efficiency.

Machine Learning Decision System on the Empirical Analysis of the Actual Usage of Interactive Entertainment: A Perspective of Sustainable Innovative Technology

This study focused on the impact of Netflix’s interactive entertainment on Filipino consumers, seamlessly combining vantage points from consumer behavior and employing data analytics. This underlines the revolutionary aspect of interactive entertainment in the quickly expanding digital media ecosystem, particularly as Netflix pioneers fresh content distribution techniques. The main objective of this study was to find the factors impacting the real usage of Netflix’s interactive entertainment among Filipino viewers, filling a critical gap in the existing literature. The major goal of using advanced data analytics techniques in this study was to understand the subtle dynamics affecting customer behavior in this setting. Specifically, the random forest classifier with hard and soft classifiers was assessed. The random forest compared to LightGBM was also employed, alongside the different algorithms of the artificial neural network. Purposive sampling was used to obtain responses from 258 people who had experienced Netflix’s interactive entertainment, resulting in a comprehensive dataset. The findings emphasized the importance of hedonic motivation, underlining the requirement for highly engaging and rewarding interactive material. Customer service and device compatibility, for example, have a significant impact on user uptake. Furthermore, behavioral intention and habit emerged as key drivers, revealing interactive entertainment’s long-term influence on user engagement. Practically, the research recommends strategic platform suggestions that emphasize continuous innovation, user-friendly interfaces, and user-centric methods. This study was able to fill in the gap in the literature on interactive entertainment, which contributes to a better understanding of consumer consumption and lays the groundwork for future research in the dynamic field of digital media. Moreover, this study offers essential insights into the intricate interaction of consumer preferences, technology breakthroughs, and societal influences in the ever-expanding environment of digital entertainment. Lastly, the comparative approach to the use of machine learning algorithms provides insights for future works to adopt and employ among human factors and consumer behavior-related studies.

3D image processing technology based on interactive entertainment application in cultural and creative product design

3D printing technology has many advantages that traditional production models do not have, greatly accelerating the speed of product design and development. In order to achieve the application of machine learning based 3D image processing technology in cultural and creative product design, this article collects a large amount of 3D image data as training samples and uses machine learning algorithms to establish a training model. Considering the characteristics of the data and the processing objectives, these 3D image data are used as a training set and trained through machine learning algorithms to learn the features and patterns of the image. After the training is completed, use this model to process the new 3D image. By inputting new image data, the model automatically extracts image features and predicts and processes them based on previously learned patterns. Evaluate the advantages and disadvantages of machine learning based methods in processing complex 3D images by comparing experimental results. The experimental results show that machine learning based 3D image processing technology has high accuracy and efficiency in the design of cultural and creative products. Compared with traditional methods, this method can better process complex 3D images and provide better design effects.

Simulation research on interactive entertainment e-learning based on visual saliency testing in music multimedia teaching system

In traditional music teaching method, students passively accept information and lack sufficient interaction and participation. Entertainment robots can provide students with a more interesting and engaging learning experience through means such as multimedia content, gamified elements and interactive design. The goal of this research is to develop a technology based on visual saliency testing to improve the performance of entertainment robots in music teaching systems, making them more intelligent and interactive. The research collected a large number of music multimedia teaching materials, and marked and analyzed them. The visual significance test method is used to determine the key points and important information in the teaching materials, and the computer vision technology is used to identify the areas of visual interest to students in real time. Through interaction with students, the system can adapt its output based on student feedback to ensure personalized exploration and teaching of students' points of interest. Finally, an interactive entertainment robot system is designed, which can perform intelligent feedback and interaction according to the significant information in music teaching materials. The results show that the entertainment robot system based on visual salience test shows higher intelligence and interactivity in music multimedia teaching, which greatly improves the teaching experience.

EVOLUTION OF COMPUTER GAMES

In today's era dominated by computer gaming, various elements such as style, montage, and the ways in which audiences engage with content have evolved significantly. However, one area that remains relatively unexplored is the potential rise of interactive or 'playable' films as a significant shift in cinema. While interactive film experiments do exist, they are still in the early stages and lack a consistent form. The labelling of diverse pieces as interactive films has led to confusion about what truly constitutes this genre. This raises the question of why interactive films have not gained cultural or economic traction, despite the widespread interest in interactive entertainment seen in the gaming industry. Examining notable examples of interactive films may shed light on their limitations and suggest potential new directions for this evolving form of storytelling

Advancements in Artificial Intelligence for Games

Abstract: Interactive entertainments using AI have become possible due to merging AI with games. The paper explores in-depth multi-dimensional relations among AI in gaming, including Game AI, Adaptive Gameplay, and ML in VE. The study intends to investigate how the current AI in games landscape impacts gameplay dynamics and customer experience. The paper discusses the latest approaches such as AI-driven NPCs and procedural generation of content that transforms gameplay experience. Secondly, it analyzes how machine-learning can help in designing adaptable gaming situations to satisfy different tastes and skills players. Further, this study identifies trends and envisages future breakthroughs in AI in gaming. This work aims at addressing challenges and ethical issues associated with artificial intelligence and virtual environment domain in order to understand where is future heading for gaming experience.

Hand gesture recognition in natural human-computer interaction

This paper introduces the definition of Gesture recognition. First the article gives a precise definition of gesture recognition and explains the difference between gestures and postures, then it reveals technical difficulties of Gesture recognition. These technical difficulties include four aspects. After analyzing the technology and methods of Gesture recognition and the technical difficulties, it concretely expounds gesture recognition process based on data gloves, which is widely studied before and it also introduces the computer vision based research achievement which is currently becoming a research hotspot in this field. Then it also takes Kinect and HoloLens as examples to introduce specific practical cases of gesture recognition in wearable devices. Also it outlines the application of gesture recognition technology in human-computer interaction which include but not limited to smart terminal, Game control, Robot Control, Clinical and Health, Smart home, Sign Language Recognition, Vehicle system, Interactive entertainment. Finally it reach the conclusion that the biggest challenge researchers meet is to build a powerful framework to overcome the common problems with fewer constraints to provide reliable results. And sometimes researchers need to combine multiple methods for different complex environments.

Valuation Analysis of Chinese Game Enterprises Based on Improved DEVA Model: Taking Panax Notoginseng Mutual Entertainment as an Example

With the rapid development of the Chinese gaming market, valuation analysis of gaming companies has become a focus of attention for investors and the industry. This study takes Seven Seas Interactive Entertainment as an example and conducts valuation analysis of Chinese gaming companies based on the improved DEVA model. First, the research background and objectives are introduced, emphasizing the importance and innovation of the study. Secondly, the basic principles and limitations of the DEVA model are briefly introduced, and a method for constructing the improved DEVA model is proposed. Then, an overview of the development status and characteristics of Chinese gaming companies, as well as the development overview of Seven Seas Interactive Entertainment, is outlined. Subsequently, by analyzing the financial data of Seven Seas Interactive Entertainment, the parameters of the improved DEVA model are set and valuation calculations are carried out. The results of the valuation are analyzed and compared with the traditional DEVA model through empirical testing. Finally, the main achievements of the study are summarized, and future research directions are discussed. This study expands the methods and research perspectives for valuing Chinese gaming companies, providing reference basis for investment decision-making.

Innovation and development strategy of interactive entertainment industry driven by artificial intelligence

Innovation and development strategy of interactive entertainment industry driven by artificial intelligence

Evaluation of consumer usage behavior for interactive entertainment: A Netflix case study

The streaming business has been continuously rising in the market and movie streaming applications are trying to break boundaries. Netflix, one of the top streaming platforms hence created the interactive entertainment like Bandersnatch and Kaleidoscope to compete with the close call streaming platform market. As interactive entertainment continues to gain popularity, questions regarding how it affects user acceptance and satisfaction are being raised. Using the UTAUT2 model, this study analyzed the usage behavior of 847 valid respondents. Analyzing the latent variables simultaneously, structural equation modeling was considered to completely assess the usage behavior among users towards interactive entertainment. Results showed that facilitating conditions aside from behavioral intentions prompted the most significant factor, followed by hedonic motivation, habit, performance expectancy, and social influence. It was also seen that price value played a significant role with the account sharing capabilities provided by Netflix. Results have shown that watching interactive entertainment is a pleasant experience, wherein consumers would engage with the type of movies or series frequently when available and will spend more time in watching it. This presented a positive purchase intention for an account on Netflix when they are provided with more interactive entertainment among users. With Netflix’s establishment of the new way of entertainment, this study would provide a benchmark analysis of how likely people would consider interactive entertainment. Moreover, the findings of this study could be utilized by other streaming platforms, especially the companies that wanted to consider the path of future entertainment through interactive entertainment.

Mengetahui Tingkat Kekuatan Karakter Klee pada Game Genshin Impact Menggunakan Metode Klasifikasi dengan Algoritma Naïve Bayes

Video games are a form of interactive entertainment played via electronic devices such as computers, game consoles, smartphones, or tablets. Video games usually involve players in a virtual experience where they control characters or objects in the world created in the game. For example, genshin impact is played by many people because it has characteristics and uniqueness in the game, such as the combination of elements in each character, an interesting storyline, and much more. This study aims to assess a character based on the attributes possessed by the character whether it is strong or weak by using the naïve Bayes method. Through the classification carried out, the object to be chosen is a character named Klee to assess whether the character is strong or weak.

Usage of a computer cluster for physics simulations using bullet engine and OpenCL

The study focuses on using a computer cluster for implementing real-time physical simulations, responding to a growing need for such use in various sectors, including medicine, video processing, automated transport management, robotics, and visualisation. The object of research is cluster and cloud technologies for conducting costly physical simulations for specific sectors, particularly high-budget and entertainment ones, such as cinematography and interactive entertainment. Research methods include using a modified Bullet engine to carry out physical simulations, integrated with OpenCL to work with the cluster. The choice of these technologies was determined by their high performance and adaptability to cluster systems. The research was based on a typical Bullet framework’s benchmark falling tower scene with the primary goal of measuring computational performance in frames per second. Results showed that the use of clusters is not advisable in environments with a low network throughput and the use of non-uniform computers. Under those conditions, simulations using a cluster become unstable with many objects and contacts between them and show a degradation in performance by an average of 50–60 % (to values of 10–20 frames per second). Despite the intermediate results of calculations on the cluster, the study met the expectations within the goals set and resources available. These results have significant implications for the further development of cluster and cloud technologies in physical simulations, providing valuable information about the limitations and capabilities of these systems.