Current Issue : January-March Volume : 2024 Issue Number : 1 Articles : 5 Articles
Many studies, to varying degrees, have confirmed the importance of persuasive approaches in wearable technology. Meanwhile, there are also a growing number of studies in persuasive multimedia, particularly in promoting awareness. Also, many studies reported on wearable multimedia, especially in game-based and VR/AR applications. Given the increasing emergence of these technologies, there is a need to integrate existing diverse research endeavours and consolidate them for improved planned effects on human attitude and behaviour, including one's awareness. However, a similar attempt to incorporate a triad of persuasive, multimedia and wearable design principles toward improved controllability awareness lacks empirical evidence. Here, this study explores the design principles of persuasive, multimedia and wearable technologies that can be leveraged into an integrated design model, especially in promoting controllability awareness of mental health issues. Moreover, this study believes exploring the potential integration of the design principles would significantly impact the application's effectiveness. Therefore, this study conducted a comparative analysis which involved 20 relevant studies pertinent to wearable design principles, persuasive design principles, and multimedia design principles. Furthermore, all identified studies were reviewed regarding the domain, the technology used, target outcomes, and utilisation of the design principles. As a result, this study discovered that many studies were on integrating persuasive and multimedia design principles and persuasive and wearable technologies. Therefore, the outcome of this study could be leveraged to incorporate all three design principles (i.e., wearable, persuasive technology, multimedia) into a conceptual model. The conceptual model is expected to produce a more effective result, especially in enhancing controllability awareness in the mental health domain....
College piano teaching with multimedia technology has the characteristics of more intuitive teaching content and more convenient teaching methods. It has a significant auxiliary role in improving the teaching effect and cultivating personalized music talents. Therefore, educational circles and music festivals at home and abroad have also conducted corresponding research on the application of multimedia technology. On the basis of investigating the current situation of piano education at home and abroad, this article summarizes the background significance of the development and application of multimedia technology, and points out the shortcomings of existing multimedia applications. This article analyzes the possible problems in the application of piano education in colleges and universities. Finally, it discusses the innovative application and development prospects of multimedia technology in piano teaching in colleges and universities, and analyzes the key problems that need to be solved in the implementation of multimedia technology in piano teaching....
Internet of Things (IoT) applications continue to expand into newapplications with a growing need for image processing on the edge. Many edge devices are resource limited microcontrollers, which significantly prohibits many of the mature image processing algorithms. This paper proposes an approach optimized, for resource constrained processors removing the need for computationally expensive floating point arithmetic by using a framework based on unsigned integer arithmetic for image processing. The proposed framework (OptInt) is demonstrated using edge detection algorithms evaluated on two typical low-power IoT-ready micro-controllers and for comparison a more powerful Raspberry Pi. Results indicate that the OptInt approach for basic image processing in resource constrained devices reduces the computation time as well as the memory requirements, thereby allowing for more edge computing capabilities in these devices. Furthermore, the images produced using OptInt produce results of similar quality to mature edge detection algorithms....
Along with the advance of 3C technology and the promotion of education reform, multimedia video information equipment is largely combined in the education scene for student-centered course teaching. Including multimedia video in instruction for curriculum design provides students with diverse teaching and learning methods. It is expected to enhance students’ learning attitudes and achievements through vivid and active multimedia video situations, as well as guide students’ interests and achievements in learning. Taking 188 college students in Guangdong Province as the experimental objects, the 16-week (3 hours per week for a total of 48 hours) multimedia video integrated science, technology, engineering, and mathematics (STEM) experimental teaching research is preceded by this study. The research results show that: (1) students present a positive learning attitude as they expect to understand more of the taught content from multimedia video-integrated STEM curricula; (2) multimedia video-inte- video provides more opportunities and information for students to understand STEM-related information. The assistance of multimedia video could enhance their willingness to learn and creativity in STEM curricula. According to the results of proposed discussions and suggestions, it is expected to provide students with diverse learning methods and build students’ learning concepts without restricting learning to time and place....
This paper addresses the problem of detecting internet rumors in social media. Rumors do great harm to information society, making rumor detection necessary. However, existing methods for detecting rumors generally only learn pattern features or text content features from the whole propagation process, which fall short in capturing multilevel features with topic relevance of text content from social media data. In this paper, we propose a novel graph convolution network model, named multilevel feature fusion-based graph convolution network (MFF-GCN) which can employ multiple streams of GCNs to learn different level features of rumor data, respectively. We build a heterogeneous tweet graph for each single-level feature GCN to encode the topic relation among tweets based on the text contents. Experiments on real-world Twitter data demonstrate that our proposed approach achieves much better performance than the state-of-the-art methods with higher values of precision and recall as well as their corresponding F1 score. In addition, the diversity of our experimental results shows the generalization ability of our model....
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