基于感官互动和游戏元素的儿童感官互动音乐启蒙系统

IF 2.8 3区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS Entertainment Computing Pub Date : 2024-08-18 DOI:10.1016/j.entcom.2024.100873
Lian Sun
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引用次数: 0

摘要

近年来,触觉交互式人机交互技术得到了广泛的发展,并被广泛应用于各个领域。然而,目前体感交互技术在儿童音乐启蒙产品中的应用还比较缺乏。为了拓宽体感交互产品领域的研究范围,本研究首先基于游戏元素对音乐启蒙游戏进行分析,以获取儿童在音乐教育方面的需求;其次,本研究利用模糊判断矩阵和目的链进行基于用户心理的研究,以在设计过程中抓住产品的关注点。最后,本研究在体感交互的基础上设计了手势识别算法和儿童体感交互音乐启蒙系统。研究结果表明,用户的年龄范围在 28 至 45 岁之间,88% 的受访者没有或仅有有限的儿童早期音乐教育经验。当手势识别算法迭代到约 4000 次时,可以达到收敛状态,损失值在 0.1 左右波动。此外,手势识别算法在简单背景和复杂背景下的运行时间分别为 0.089 s 和 0.083 s。该算法的平均准确率为 98.81%,平均召回率为 93.38%。最后,从感官互动和游戏元素来看,绝大多数参与者表示愿意继续使用儿童感官互动音乐启蒙系统,其中中低难度参与者愿意继续使用的比例较高。综上所述,本研究提出的儿童体感互动音乐启蒙系统具有较好的性能,被用户广泛使用。
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Children’s sensory interaction music enlightenment system based on sensory interaction and game elements
Recently, a widely developed technology in the field of tactile interactive human–computer interaction has been widely applied in various fields. However, there is currently a lack of application of somatosensory interaction technology in children’s music enlightenment products. To broaden the research scope of the field of sensory interaction products, this study first analyzes music enlightenment games based on game elements to obtain the needs of children in music education; Secondly, this study utilizes fuzzy judgment matrices and purpose chains to conduct research based on user psychology, in order to capture the product’s focus during the design process. Finally, the research designs Gesture recognition algorithm and children’s somatosensory interaction music enlightenment system on the basis of somatosensory interaction. The research results indicate that the age range of users is between 28 and 45 years old, and 88 % of respondents have no or limited experience in early music education for children. When the Gesture recognition algorithm iterates to about 4000 times, it can reach the convergence state, and the loss value fluctuates around 0.1. In addition, the running time of Gesture recognition algorithm in simple background and complex background is 0.089 s and 0.083 s respectively. And the average accuracy of this algorithm is 98.81 %, with an average recall rate of 93.38 %. Finally, the vast majority of participants expressed their willingness to continue using the children’s sensory interaction music enlightenment system in view of sensory interaction and game elements, with a higher proportion of medium to low difficulty participants willing to continue. In summary, the children’s somatosensory interactive music enlightenment system proposed in the study has better performance and is widely used by users.
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来源期刊
Entertainment Computing
Entertainment Computing Computer Science-Human-Computer Interaction
CiteScore
5.90
自引率
7.10%
发文量
66
期刊介绍: Entertainment Computing publishes original, peer-reviewed research articles and serves as a forum for stimulating and disseminating innovative research ideas, emerging technologies, empirical investigations, state-of-the-art methods and tools in all aspects of digital entertainment, new media, entertainment computing, gaming, robotics, toys and applications among researchers, engineers, social scientists, artists and practitioners. Theoretical, technical, empirical, survey articles and case studies are all appropriate to the journal.
期刊最新文献
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