Entertainment Computing最新文献_第8页

CyberFamily: A collaborative family game to increase children’s cybersecurity awareness 网络家庭：提高儿童网络安全意识的家庭协作游戏

IF 2.8 3区计算机科学

Entertainment Computing Pub Date : 2024-07-31 DOI: 10.1016/j.entcom.2024.100826

Farzana Quayyum, Letizia Jaccheri

{"title":"CyberFamily: A collaborative family game to increase children’s cybersecurity awareness","authors":"Farzana Quayyum, Letizia Jaccheri","doi":"10.1016/j.entcom.2024.100826","DOIUrl":"10.1016/j.entcom.2024.100826","url":null,"abstract":"<div><p>Parental involvement is an essential factor that influences a child’s learning, behavior, and every other aspect of life, including online interactions. While holding parents responsible for the consequences of children’s online actions and overall well-being, we often overlook the importance of and need for means that can effectively support parents in interacting and engaging in activities with their children. In the present study, we describe and evaluate a collaborative family game called “CyberFamily” to facilitate parent–child collaboration and leverage family communication, intending to increase cybersecurity awareness among children aged 9–12. We also present the results of two user studies: one conducted with four parent–child dyads to test the feasibility of the game and a second user study conducted with 11 parent–child dyads focusing on evaluating the usability of CyberFamily. Our findings yielded positive feedback and showed that a collaborative family game like CyberFamily can help parents engage with their children’s online activities, leading to discussions and the potential for collaborative learning for both groups. We suggest that future researchers and designers consider and provide an active, engaging role for parents when developing solutions to raise cybersecurity awareness among children, rather than just having parents monitor and control children’s online access and activities.</p></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"52 ","pages":"Article 100826"},"PeriodicalIF":2.8,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1875952124001940/pdfft?md5=7ff1728dd391bb3295e70e3b5e5f7e4c&pid=1-s2.0-S1875952124001940-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141947833","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

Extending a MAPE-K loop-based framework for Dynamic Difficulty Adjustment in single-player games 扩展基于 MAPE-K 循环的单人游戏动态难度调整框架

IF 2.8 3区计算机科学

Entertainment Computing Pub Date : 2024-07-30 DOI: 10.1016/j.entcom.2024.100842

Carlos Henrique R. Souza, Saulo S. de Oliveira, Luciana O. Berretta, Sergio T. Carvalho

{"title":"Extending a MAPE-K loop-based framework for Dynamic Difficulty Adjustment in single-player games","authors":"Carlos Henrique R. Souza, Saulo S. de Oliveira, Luciana O. Berretta, Sergio T. Carvalho","doi":"10.1016/j.entcom.2024.100842","DOIUrl":"10.1016/j.entcom.2024.100842","url":null,"abstract":"<div><p>Dynamic Difficulty Adjustment (DDA) has emerged as a notable solution to address the demand for adaptive gameplay in digital games. However, the DDA domain presents various research challenges that require careful consideration. In response, this study introduces an approach that merges insights from self-adaptive systems with the specific requirements of adaptive gameplay. Our contribution involves extending the DDA-MAPEKit framework, which was previously presented. Constructed on the modular MAPE-K loop foundation, this solution facilitates the assimilation of multiple DDA strategies. The primary objective is to provide tailored treatment for distinct game mechanics (or groups of mechanics) by constructing individual MAPE-K loops for each of them. Notable enhancements include the development of a descriptive player model involving continuous player profile assessment, performance calculation, and modifications to the rules’ system to better align with the player’s conditions. A proof of concept is executed by applying DDA-MAPEKit in a Space Shooter game to assess the viability of the proposed model. Simulations are conducted both with and without the DDA mechanisms. Encouraging results are obtained through a comparative analysis of the gathered data. Evidence points out that incorporating the DDA mechanism, implemented with DDA-MAPEKit, may effectively lead to adapting variables depicting the complexity of game mechanics following the player’s performance. This fact underscores the potential effectiveness of our approach in addressing the challenges within the realm of DDA.</p></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"52 ","pages":"Article 100842"},"PeriodicalIF":2.8,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141881468","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

Prediction of psychological intervention for college students in digital entertainment media environment based on artificial intelligence and parallel computing algorithms 基于人工智能和并行计算算法的数字娱乐媒体环境下大学生心理干预预测

IF 2.8 3区计算机科学

Entertainment Computing Pub Date : 2024-07-30 DOI: 10.1016/j.entcom.2024.100858

Bin Cai , Dongsheng Wang

{"title":"Prediction of psychological intervention for college students in digital entertainment media environment based on artificial intelligence and parallel computing algorithms","authors":"Bin Cai , Dongsheng Wang","doi":"10.1016/j.entcom.2024.100858","DOIUrl":"10.1016/j.entcom.2024.100858","url":null,"abstract":"<div><p>In the era of digital entertainment media, the rapid dissemination of information and the widespread application of social media have a huge impact on user behavior and psychology. For students, the experience of digital entertainment content may have potential adverse effects on their mental health. The aim of this study is to propose a prediction model of university students’ psychological intervention based on optical network transmission based on parallel computing algorithm, in order to improve the computational efficiency and accuracy of the model. Then, a large number of psychological data of college students are collected, and feature extraction and model training are carried out by using machine learning algorithms. Finally, the predictive model of psychological intervention is simulated by parallel computing algorithm. The experimental results show that the optical network transmission based on parallel computing algorithm has high computational efficiency and accuracy in the prediction model of psychological intervention of college students. The model can reliably predict and evaluate the effect of psychological intervention of college students, provide an effective simulation tool for psychological intervention of college students, and help realize personalized and efficient psychological intervention measures.</p></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"52 ","pages":"Article 100858"},"PeriodicalIF":2.8,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141881469","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

Green landscape 3D reconstruction and VR interactive art design experience using digital entertainment technology and entertainment gesture robots 利用数字娱乐技术和娱乐手势机器人进行绿色景观三维重建和 VR 互动艺术设计体验

IF 2.8 3区计算机科学

Entertainment Computing Pub Date : 2024-07-28 DOI: 10.1016/j.entcom.2024.100854

Jiankai Weng, Jian Sun

{"title":"Green landscape 3D reconstruction and VR interactive art design experience using digital entertainment technology and entertainment gesture robots","authors":"Jiankai Weng, Jian Sun","doi":"10.1016/j.entcom.2024.100854","DOIUrl":"10.1016/j.entcom.2024.100854","url":null,"abstract":"<div><p>With the rapid development of digital entertainment technology, people’s demand for green landscape reconstruction and virtual reality (VR) interactive art design is increasing. This study aims to explore the use of digital entertainment technology and entertainment gesture robots, combined with green landscape 3D reconstruction and VR interactive art design, to provide a new art experience. This paper uses digital entertainment technology to reconstruct the green landscape in 3D, and combines the interactive function of entertainment gesture robot to enable users to interact with the virtual environment. Then VR technology is used to present the reconstructed landscape to the user, and through immersive experience, users can feel the immersive art design. Through experimental evaluation and user survey, 3D reconstruction of green landscape and VR interactive art design using digital entertainment technology and entertainment gesture robots can provide a new entertainment experience. Users are more satisfied with the immersive art design expression, and experience the interaction and connection with the natural environment, which provides users with a unique and immersive art experience, further enriching the form and content of digital entertainment.</p></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"52 ","pages":"Article 100854"},"PeriodicalIF":2.8,"publicationDate":"2024-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141842658","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

Design of political classroom interaction system in social virtual reality entertainment environment based on convolutional neural network 基于卷积神经网络的社会虚拟现实娱乐环境中的政治课堂互动系统设计

IF 2.8 3区计算机科学

Entertainment Computing Pub Date : 2024-07-28 DOI: 10.1016/j.entcom.2024.100860

Jingwen Dang

{"title":"Design of political classroom interaction system in social virtual reality entertainment environment based on convolutional neural network","authors":"Jingwen Dang","doi":"10.1016/j.entcom.2024.100860","DOIUrl":"10.1016/j.entcom.2024.100860","url":null,"abstract":"<div><p>With the continuous progress of AI intelligent technology, the internet industry has undergone tremendous changes. The application of virtual reality and other digital entertainment technology has changed the classroom mode, and at the same time, current political classrooms place more emphasis on interaction with society. Therefore, this article constructs a political classroom AI intelligent system based on CNN network. This system studies the political classroom from the perspective of AI intelligent construction, using a combination of theory and practice. This article selects some research materials from both domestic and international sources. Firstly, it summarizes and analyzes relevant concepts such as convolutional neural networks, summarizes the importance of political classroom education, and analyzes the problems faced by political classrooms in the context of AI intelligence. Then, experimental analysis was conducted on the AI intelligent system in the political classroom. The experiment proved that the AI intelligent system in the political classroom has good working performance in the actual operation process, and the overall performance is also better than other systems. Implementing a network-based AI intelligent system for the political classroom and applying AI intelligent technology in practical applications can improve the personalization and accuracy of the political classroom.</p></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"52 ","pages":"Article 100860"},"PeriodicalIF":2.8,"publicationDate":"2024-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141844587","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

Simulation of interaction E-learning mode in political courses based on virtual reality and digital entertainment environment 基于虚拟现实和数字娱乐环境的政治课程互动模拟电子学习模式

IF 2.8 3区计算机科学

Entertainment Computing Pub Date : 2024-07-28 DOI: 10.1016/j.entcom.2024.100857

Lei Zhang , Hong Yu , TianMeng Xu

{"title":"Simulation of interaction E-learning mode in political courses based on virtual reality and digital entertainment environment","authors":"Lei Zhang , Hong Yu , TianMeng Xu","doi":"10.1016/j.entcom.2024.100857","DOIUrl":"10.1016/j.entcom.2024.100857","url":null,"abstract":"<div><p>E-learning is a social network learning method that greatly promotes the dissemination of knowledge. Students can use mobile network terminals for video learning and also share their learning materials, making the learning process interactive and entertaining. This article is based on virtual reality technology and studies the effectiveness of the interactive E-learning mode for political courses in the digital entertainment environment. This online teaching method benefits students and teachers a lot with its unique advantages, and is unanimously favored by experts and scholars. These courses not only provide students with a comprehensive understanding of Marxism, but also help them develop a correct world outlook, values, and ethics. Meanwhile, in the current digital technology environment, interactive online learning has the characteristics of virtualization and entertainment. Students can comment on social hot topics and share their favorite content through various media platforms. The results indicate that the application of artificial intelligence and virtual reality technology in the interactive e-learning mode of political networks has important advantages.</p></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"52 ","pages":"Article 100857"},"PeriodicalIF":2.8,"publicationDate":"2024-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141851553","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 speech recognition algorithm based on interactive artificial intelligence system in English video teaching system 基于交互式人工智能系统的语音识别算法在英语视频教学系统中的应用

IF 2.8 3区计算机科学

Entertainment Computing Pub Date : 2024-07-28 DOI: 10.1016/j.entcom.2024.100859

Min Fu , Xiangdong Guan , Yixuan Wang , Qiong Chen

{"title":"Application of speech recognition algorithm based on interactive artificial intelligence system in English video teaching system","authors":"Min Fu , Xiangdong Guan , Yixuan Wang , Qiong Chen","doi":"10.1016/j.entcom.2024.100859","DOIUrl":"10.1016/j.entcom.2024.100859","url":null,"abstract":"<div><p>Social robots are intelligent programs that can autonomously run, automatically publish information, and interact on social media platforms. This article focuses on the speech recognition algorithm of interactive artificial intelligence systems, combined with the Hanning window function and the Vitit algorithm, and explores its application value in English video teaching systems through detailed experiments. Adopting speech feature extraction technology provides strong support for the subsequent recognition process. The application of Hanning window function has a positive impact on speech signal preprocessing. The most indispensable algorithm in speech recognition models is the Vitit algorithm, which successfully solves the problem of time variation and continuity of speech signals. This study successfully applied speech recognition algorithms based on interactive artificial intelligence systems to English video teaching systems. By combining speech feature extraction, Hanning window function, and Vitit algorithm, a system with strong recognition ability and interactivity was constructed. The English video teaching system aims to improve students’ learning process. By combining interactive artificial intelligence speech recognition technology with English video teaching, it can improve students’ experience in learning English and also meet their personalized learning habits.</p></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"52 ","pages":"Article 100859"},"PeriodicalIF":2.8,"publicationDate":"2024-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141842496","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

Simulation of street landscape design based on machine learning and entertainment design robots: An interactive entertainment design experience 基于机器学习和娱乐设计机器人的街道景观设计模拟：互动娱乐设计体验

IF 2.8 3区计算机科学

Entertainment Computing Pub Date : 2024-07-26 DOI: 10.1016/j.entcom.2024.100845

Wang Lin

{"title":"Simulation of street landscape design based on machine learning and entertainment design robots: An interactive entertainment design experience","authors":"Wang Lin","doi":"10.1016/j.entcom.2024.100845","DOIUrl":"10.1016/j.entcom.2024.100845","url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"52 ","pages":"Article 100845"},"PeriodicalIF":2.8,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141881472","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 artificial intelligence based on pattern recognition in music entertainment environment and automatic music recognition 基于模式识别的人工智能在音乐娱乐环境和自动音乐识别中的应用

IF 2.8 3区计算机科学

Entertainment Computing Pub Date : 2024-07-26 DOI: 10.1016/j.entcom.2024.100848

Yuefang Liu , Yi Zou

{"title":"Application of artificial intelligence based on pattern recognition in music entertainment environment and automatic music recognition","authors":"Yuefang Liu , Yi Zou","doi":"10.1016/j.entcom.2024.100848","DOIUrl":"10.1016/j.entcom.2024.100848","url":null,"abstract":"<div><p>The development of digital technology has given music dissemination a technological advantage of high productivity and efficiency. With the continuous improvement of digital technology and the diversification of communication forms, information visualization design pays more attention to the audience’s experience and feelings. This article analyzes the application of pattern recognition based artificial intelligence in music entertainment environments and automatic recognition of music. Digital media can achieve bidirectional information transmission through user participation and feedback, and can provide customers with more entertainment music experiences through entertainment games and other means. This article focuses on the image enhancement processing, note recognition, and automatic recognition conversion of music scores in complex contexts, and develops an automatic music score recognition system to digitize music score information. Through online dissemination, the public can fully experience the beauty of music in the process of communication and interaction, and at the same time, music can be brought into the entertainment environment.</p></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"52 ","pages":"Article 100848"},"PeriodicalIF":2.8,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141881471","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

Mathematical analysis of human motion vision capture image processing based on artificial intelligence 基于人工智能的人体运动视觉捕捉图像处理数学分析

IF 2.8 3区计算机科学

Entertainment Computing Pub Date : 2024-07-26 DOI: 10.1016/j.entcom.2024.100849

Xinhui Zhao, Liwei Xie

{"title":"Mathematical analysis of human motion vision capture image processing based on artificial intelligence","authors":"Xinhui Zhao, Liwei Xie","doi":"10.1016/j.entcom.2024.100849","DOIUrl":"10.1016/j.entcom.2024.100849","url":null,"abstract":"<div><p>In order to understand the mathematical analysis of human motion vision capture image processing, a mathematical analysis of human motion vision capture image processing based on artificial intelligence is proposed. This paper firstly introduces the research progress, classification and several commonly used vision-based human motion tracking methods of motion capture technology. Secondly, the process and framework of capturing human motion video by using ordinary cameras and marking nodes are proposed, and the automatic tracking algorithm based on Camshift and Kalman filter is adopted. It verifies the effectiveness of the system, changes the traditional way of motion capture, and makes the process of capture more convenient when the capture effect meets the requirements. Finally, the performance of the human motion capture data retrieval algorithm based on video is evaluated comprehensively. It is compared with the latest literature in this field. In terms of time efficiency, for each online retrieval of data set, the proposed algorithm takes 0.056 s, while the methods of other scholars take an average of 1.5 s. Meanwhile, experiments are also conducted on public databases, proving the universality and scalability of the proposed algorithm. The algorithm proposed in this paper has greater advantages than the most advanced method of the same type, which verifies the effectiveness of the algorithm proposed in this paper.</p></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"52 ","pages":"Article 100849"},"PeriodicalIF":2.8,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1875952124002179/pdfft?md5=c574f18711728d7eb7ba16e56d7b764c&pid=1-s2.0-S1875952124002179-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141846230","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