Entertainment Computing最新文献_第10页

SyDRA: An approach to understand game engine architecture SyDRA：了解游戏引擎架构的方法

IF 2.8 3区计算机科学

Entertainment Computing Pub Date : 2024-07-22 DOI: 10.1016/j.entcom.2024.100832

Gabriel C. Ullmann , Yann-Gaël Guéhéneuc , Fabio Petrillo , Nicolas Anquetil , Cristiano Politowski

{"title":"SyDRA: An approach to understand game engine architecture","authors":"Gabriel C. Ullmann , Yann-Gaël Guéhéneuc , Fabio Petrillo , Nicolas Anquetil , Cristiano Politowski","doi":"10.1016/j.entcom.2024.100832","DOIUrl":"10.1016/j.entcom.2024.100832","url":null,"abstract":"<div><p>Game engines are tools to facilitate video game development. They provide graphics, sound, and physics simulation features, which would have to be otherwise implemented by developers. Even though essential for modern commercial video game development, game engines are complex and developers often struggle to understand their architecture, leading to maintainability and evolution issues that negatively affect video game productions. In this paper, we present the Subsystem-Dependency Recovery Approach (SyDRA), which helps game engine developers understand game engine architecture and therefore make informed game engine development choices. By applying this approach to 10 open-source game engines, we obtain architectural models that can be used to compare game engine architectures and identify and solve issues of excessive coupling and folder nesting. Through a controlled experiment, we show that the inspection of the architectural models derived from SyDRA enables developers to complete tasks related to architectural understanding and impact analysis in less time and with higher correctness than without these models.</p></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"52 ","pages":"Article 100832"},"PeriodicalIF":2.8,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1875952124002003/pdfft?md5=9f213f7c0b8630c41ec8eba7b7274074&pid=1-s2.0-S1875952124002003-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141950380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Theme park greening VR design based on entertainment robots and genetic algorithm optimization: Digital entertainment design experience 基于娱乐机器人和遗传算法优化的主题公园绿化 VR 设计：数字娱乐设计体验

IF 2.8 3区计算机科学

Entertainment Computing Pub Date : 2024-07-22 DOI: 10.1016/j.entcom.2024.100840

Yue Huang , Xinxia Ke , Yulin Jiang

{"title":"Theme park greening VR design based on entertainment robots and genetic algorithm optimization: Digital entertainment design experience","authors":"Yue Huang , Xinxia Ke , Yulin Jiang","doi":"10.1016/j.entcom.2024.100840","DOIUrl":"10.1016/j.entcom.2024.100840","url":null,"abstract":"<div><p>Theme parks should provide attractive green design and digital interactive experiences to attract tourists and improve their satisfaction. Therefore, this study aims to achieve a digital interactive experience in theme park greening design through the use of entertainment robots and genetic algorithm optimization. The study analyzed the characteristics of experiential theme parks and introduced landscape 3D modeling techniques for creating interactive 3D models of green spaces in theme parks. By using technologies such as sensors and cameras, entertainment robots can perceive the presence and behavior of tourists. Entertainment robots can interact with tourists in real-time, customize them according to their interests and needs, and provide unique and enjoyable experiences for tourists. By collecting and analyzing feedback and behavioral data from tourists, the advantages and improvement points of digital interactive experiences can be identified. Through comparative experimental analysis with traditional experience methods, it was found that digital interactive experience can significantly improve tourist participation and satisfaction. Through user data analysis of interactive experience, this design can effectively improve the greening design of theme parks, enhance tourist participation and entertainment experience.</p></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"52 ","pages":"Article 100840"},"PeriodicalIF":2.8,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141846578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of digital entertainment experience based on intelligent interactive system in personalized fitness training system 基于智能交互系统的数字娱乐体验在个性化健身训练系统中的应用

IF 2.8 3区计算机科学

Entertainment Computing Pub Date : 2024-07-22 DOI: 10.1016/j.entcom.2024.100841

Shuai Geng

{"title":"Application of digital entertainment experience based on intelligent interactive system in personalized fitness training system","authors":"Shuai Geng","doi":"10.1016/j.entcom.2024.100841","DOIUrl":"10.1016/j.entcom.2024.100841","url":null,"abstract":"<div><p>The application of digital media in fitness environments can improve the entertainment of the fitness process, allowing users to watch entertainment videos while engaging in fitness activities. At the same time, we can add relevant game elements to the fitness process, such as playing tennis through gesture movements, thereby increasing user interest in fitness participation. Therefore, this article has developed a personalized fitness training system using optical sensors and intelligent algorithms, and conducted testing experiments on blood oxygen saturation under two sports states: running and cycling. This article analyzes the intelligent optimization algorithm for optical signals. This algorithm has strong adaptability and intelligence level, and can directly learn and adjust the model based on the characteristics of the data. The automation performance of the intelligent algorithm can effectively reduce labor costs and improve efficiency. Finally, this article provides a basic analysis and testing of the personalized fitness training system. Through the obtained data, personalized guidance is provided to users, helping people make fitness more scientific and intelligent, and improving fitness efficiency.</p></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"52 ","pages":"Article 100841"},"PeriodicalIF":2.8,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141842328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sensor based interactive digital entertainment and gamified training to alleviate basketball player fatigue 基于传感器的互动数字娱乐和游戏化训练，缓解篮球运动员的疲劳

IF 2.8 3区计算机科学

Entertainment Computing Pub Date : 2024-07-21 DOI: 10.1016/j.entcom.2024.100838

Yiming Hou , Zheng Li , Hongbo Li

{"title":"Sensor based interactive digital entertainment and gamified training to alleviate basketball player fatigue","authors":"Yiming Hou , Zheng Li , Hongbo Li","doi":"10.1016/j.entcom.2024.100838","DOIUrl":"10.1016/j.entcom.2024.100838","url":null,"abstract":"<div><p>In recent years, due to the increasing number of basketball games and training activities, basketball players often face the problem of fatigue and injury. This study aims to develop an interactive digital entertainment and gamification training method to provide basketball players with more efficient training methods and enhance their training fun. Sensors can be installed in various key parts of the athlete’s body, through the use of high-precision sensor equipment, real-time acquisition of athlete action data, the use of machine learning and data mining technology, real-time analysis and modeling of sensor data to extract key information and movement patterns. Using gamified training theory to design interactive digital entertainment system, develop a series of training scenarios and gamified tasks for different technical elements, combine sensor data and motion analysis results, and provide athletes with personalized training plans and feedback mechanisms to help them improve their technical level. Through an interactive digital entertainment system, basketball players can train and compete in a virtual environment. They can complete various training tasks by interacting with the system, which will give real-time evaluation and guidance based on the athlete’s performance to help them correct mistakes, improve technique and improve training results.</p></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"52 ","pages":"Article 100838"},"PeriodicalIF":2.8,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141960843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of entertainment and fitness robots based on game interaction in sports training data analysis 基于游戏互动的娱乐健身机器人在运动训练数据分析中的应用

IF 2.8 3区计算机科学

Entertainment Computing Pub Date : 2024-07-20 DOI: 10.1016/j.entcom.2024.100837

Jian Liu

{"title":"Application of entertainment and fitness robots based on game interaction in sports training data analysis","authors":"Jian Liu","doi":"10.1016/j.entcom.2024.100837","DOIUrl":"10.1016/j.entcom.2024.100837","url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"52 ","pages":"Article 100837"},"PeriodicalIF":2.8,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141960813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Immersive artificial intelligence technology based on entertainment game experience in simulation of psychological health testing for university students 基于娱乐游戏体验的沉浸式人工智能技术在大学生心理健康测试模拟中的应用

IF 2.8 3区计算机科学

Entertainment Computing Pub Date : 2024-07-20 DOI: 10.1016/j.entcom.2024.100839

Lu Chen

{"title":"Immersive artificial intelligence technology based on entertainment game experience in simulation of psychological health testing for university students","authors":"Lu Chen","doi":"10.1016/j.entcom.2024.100839","DOIUrl":"10.1016/j.entcom.2024.100839","url":null,"abstract":"<div><p>At present, the mental health problems of college students are becoming more and more prominent, but the existing mental health detection methods have certain limitations. Therefore, the combination of entertainment and game experience with artificial intelligence technology in this paper can provide a more comprehensive and accurate mental health detection scheme. The research designed an immersive entertainment game experience platform, in which artificial intelligence technology was used to detect mental health. The platform is based on emotion recognition algorithms and artificial intelligence interaction technology to assess the level of mental health of users by analyzing their behavior and emotional expression in the game. The results show that immersive artificial intelligence technology based on entertainment and game experience can effectively simulate the mental health state of college students. Compared with traditional mental health assessment methods, this technique has obvious advantages in terms of accuracy and comprehensiveness. Users also showed a high degree of acceptance and participation for this entertaining mental health detection method. This technology can provide students with a more relaxed and interesting mental health assessment experience, and can also provide accurate and comprehensive assessment results, and provide scientific and effective guidance for mental health management and intervention of college students.</p></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"52 ","pages":"Article 100839"},"PeriodicalIF":2.8,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141960845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The relationship between technology trust and behavioral intention to use Metaverse in baby monitoring systems’ design: Stimulus-Organism-Response (SOR) theory 在婴儿监护系统设计中使用 Metaverse 的技术信任与行为意向之间的关系：刺激-组织-反应（SOR）理论

IF 2.8 3区计算机科学

Entertainment Computing Pub Date : 2024-07-19 DOI: 10.1016/j.entcom.2024.100833

Rabab Ali Abumalloh , Osama Halabi , Mehrbakhsh Nilashi

{"title":"The relationship between technology trust and behavioral intention to use Metaverse in baby monitoring systems’ design: Stimulus-Organism-Response (SOR) theory","authors":"Rabab Ali Abumalloh , Osama Halabi , Mehrbakhsh Nilashi","doi":"10.1016/j.entcom.2024.100833","DOIUrl":"10.1016/j.entcom.2024.100833","url":null,"abstract":"<div><p>The success of baby monitoring systems is heavily dependent on their design. Well-designed systems can enhance user experience, improve accuracy, and increase trust in the technology. As a collective virtual shared space, the Metaverse technology has the potential to benefit both designers and companies involved in designing baby monitoring systems. The usefulness of the Metaverse is widely investigated in different domains. However, the adoption of the Metaverse in the design of baby monitoring systems has rarely been explored in the previous research. In addition, the integration of the Metaverse in intelligent baby monitoring systems’ design poses significant privacy challenges that need to be addressed. This study, therefore, explores the factors that impact the adoption of the Metaverse in the design of baby monitoring systems. A model is developed and tested using the Stimulus-Organism-Response (SOR)theory. The findings of the study reveal that real-time monitoring, perceived security, ease of use, and personalization positively influence the technology trust in baby monitoring systems’ design. Besides, perceived privacy positively influences the technology trust and Metaverse adoption in baby monitoring systems. On the other hand, safety concerns do not impact the technology trust or the Metaverse adoption in baby monitoring systems’ design.</p></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"52 ","pages":"Article 100833"},"PeriodicalIF":2.8,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141844251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Construction of teaching game evaluation model based on ISSA-BPNN 基于ISSA-BPNN的教学游戏评价模型的构建

IF 2.8 3区计算机科学

Entertainment Computing Pub Date : 2024-07-19 DOI: 10.1016/j.entcom.2024.100831

Bibo Feng , Lingli Zhang , Jing Yin , Rong Wang

{"title":"Construction of teaching game evaluation model based on ISSA-BPNN","authors":"Bibo Feng , Lingli Zhang , Jing Yin , Rong Wang","doi":"10.1016/j.entcom.2024.100831","DOIUrl":"10.1016/j.entcom.2024.100831","url":null,"abstract":"<div><p>Teaching games are an effective teaching organization activity. In response to the evaluation and prediction problem of teaching games, a teaching game evaluation model based on improved sparrow search algorithm and back propagation neural network was studied and constructed. Firstly, a situational teaching game was designed and an evaluation index system was constructed. Then, a teaching game evaluation prediction model based on the improved method was established. Finally, the expert consultation method is adopted to collect opinions from experts in the field of education and construct an evaluation index system for teaching games. And based on the evaluation index system of teaching games, evaluate students’ mathematical thinking ability before and after experiencing teaching games to verify the application effect of teaching games. The scenario based teaching game designed in this study has a certain effect on improving students’ mathematical thinking ability. Students’ mathematical thinking has significantly improved (<em>P</em><0.05), and the teaching effect is the same for students of different genders (<em>P</em>>0.1). The improved sparrow search algorithm has a faster convergence rate than other algorithms, and tends to be stable when iteration is about 100 when solving the single peak benchmark function. When solving the multimodal benchmark test function, it tends to stabilize when iteration is around 20. The teaching game evaluation prediction price model based on the improved method shows a trend of first increasing and then decreasing with hidden units increasing. When the hidden unit is 16, the area index under model curve is the highest, around 0.962, and its prediction accuracy is relatively high. In summary, the model constructed in this study is applicating good in teaching game evaluation prediction, and can promote education industry developing.</p></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"52 ","pages":"Article 100831"},"PeriodicalIF":2.8,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141960844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of digital media entertainment technology based on soft computing in immersive experience of remote piano teaching 基于软计算的数字媒体娱乐技术在远程钢琴教学沉浸式体验中的应用

IF 2.8 3区计算机科学

Entertainment Computing Pub Date : 2024-07-17 DOI: 10.1016/j.entcom.2024.100822

Jun Wang

{"title":"Application of digital media entertainment technology based on soft computing in immersive experience of remote piano teaching","authors":"Jun Wang","doi":"10.1016/j.entcom.2024.100822","DOIUrl":"10.1016/j.entcom.2024.100822","url":null,"abstract":"<div><p>Digital media entertainment technology can enhance the interactive experience of the teaching process, allowing students to engage in immersive learning in a virtual reality environment. Traditional piano teaching places too much emphasis on the classroom, and new teaching methods should be optimized accordingly. Therefore, this article further optimizes and analyzes speech algorithms and applies them to soft computing technology. It also conducts multi-dimensional testing of the upgraded speech enhancement model, aiming to design a more suitable remote piano teaching platform for students, and attempts to directly apply the enhanced speech algorithms and soft computing technology in actual teaching. Relatively speaking, the effectiveness of traditional piano classroom teaching is not significant, and the teaching results of remote piano teaching have greatly improved compared to traditional classrooms. On this basis, students can also master most of the teaching content, which is conducive to enhancing their learning interest and thereby improving their academic performance. This platform can also provide piano learners with more efficient, convenient, and practical services.</p></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"52 ","pages":"Article 100822"},"PeriodicalIF":2.8,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141729699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent entertainment robots based on path navigation planning in tourism intelligent services and user entertainment experience analysis 基于路径导航规划的智能娱乐机器人在旅游智能服务中的应用及用户娱乐体验分析

IF 2.8 3区计算机科学

Entertainment Computing Pub Date : 2024-07-15 DOI: 10.1016/j.entcom.2024.100829

Ai Rong , Song Jianwei , Xie Xiaowei

{"title":"Intelligent entertainment robots based on path navigation planning in tourism intelligent services and user entertainment experience analysis","authors":"Ai Rong , Song Jianwei , Xie Xiaowei","doi":"10.1016/j.entcom.2024.100829","DOIUrl":"10.1016/j.entcom.2024.100829","url":null,"abstract":"<div><p>With the development of tourism industry, users have higher and higher demand for travel experience, while traditional tourism services can no longer meet the needs of users. Therefore, as an innovative tourism service mode, intelligent entertainment robots have broad application prospects. This paper proposes a design scheme of intelligent entertainment robot based on path navigation planning. By combining navigation technology and entertainment functions, intelligent entertainment robot can provide customized travel and entertainment services for users according to their needs and interests. By collecting the geographic information of the tourist scene and the user’s preference data, the path planning algorithm and machine learning technology are used to determine the robot’s cruise path and entertainment recommendation. At the same time, it also uses computer vision technology and emotion recognition technology to perceive and analyze the user’s emotional state, so as to provide a more personalized entertainment experience. The experimental results show that under the guidance and recommendation of intelligent entertainment robots, users’ travel experience has been significantly improved, and users’ satisfaction with tourism services and pleasure of entertainment experience have been improved.</p></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"52 ","pages":"Article 100829"},"PeriodicalIF":2.8,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141639296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0