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International Journal of Interactive Mobile Technologies 2025年第3期19卷 141-169页

作者： Khasawneh, Fuad Al-Shboul, Muhannad Al-Saaideh, Ra’Ed Department of Design and Visual Communication School of Arts and Design The University of Jordan Amman Jordan Department of Curriculum and Instruction School of Educational Sciences The University of Jordan Amman Jordan

This study aimed to reveal the influence of teaching using the Midjourney artificial intelligence (AI)-based intelligence platform on developing the animation character design skills among students of the multimedia design course at the University of Jordan. The study used a quasi-experimental methodology with a sample of 60 male and female students of the Multimedia design course from the Department of visual arts at the University of Jordan. The study participants were intentionally chosen and randomly divided into two groups: the experimental group, which consisted of 32 male and female students who utilized the educational application based on AI Midjourney, and the control group, which consisted of 28 male and female students who used the conventional method of studying. The findings indicated that there were statistically significant differences, at a significance level of (α = 0.05), in the average scores of the two groups regarding their post-performance in animation character design skills. The experimental group, which utilized the AI-based application Midjourney as a teaching method, demonstrated superior performance compared to the control group. © 2025 by the authors of this article.

关键词： Animation

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Multi-Modal Analysis of Presentation Media Data

Multi-Modal Analysis of Presentation Media Data

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2025 International Conference on Multi-Agent Systems for Collaborative Intelligence, ICMSCI 2025

作者： Li, Xiaoyuan School of Visual Arts and Design Guangzhou Academy of Fine Arts Guangdong Guangzhou510006 China

ISBN: (纸本)9798331509828

With the explosive development of multimedia information systems, the fusion analysis of the multi-modal information is a research trend. Inspired by this, this study proposes a presentation media data processing algorithm based on multi-modal analysis, which mainly includes a multi-modal processing framework for image data and video data. This study combines scene graph generation, tensor fusion, user label hyper-graph and other modeling ideas to build a new multi-modal analysis paradigm to solve the problems in multi-modal analysis. For image multi-modal analysis, this study proposed a two-stage prediction model based on scene graph generation, which performs modal feature analysis through modified tensor fusion. For video multi-modal analysis, this study designed a new collaborative filtering algorithm based on user label hyper-graph, which comprehensively considers video activity and the user behavior weight to optimize recommendation effect. More specifically, targeting the dissemination characteristics of demonstration media data, this study finally analyzed the information transmission mode of human-computer combination and designed a dissemination optimization method based on multi-modal information processing. By using data from three public datasets and generating test cases, the experimental results of this study show that this method performs well in terms of accuracy, robustness and other indicators. © 2025 IEEE.

关键词： Video analysis

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Scene Semantic Analysis of Display Media Images 5

Scene Semantic Analysis of Display Media Images

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5th International Conference on Electronics and Sustainable Communication Systems, ICESC 2024

作者： Li, Xiaoyuan School of Visual Arts and Design Guangzhou Academy of Fine Arts Guangdong Guangzhou510006 China

ISBN: (纸本)9798350379945

This study presents a novel scene semantic analysis paradigm tailored for display media images, focusing on improving the accuracy and efficiency of interpreting and categorizing various elements within visual scenes. The proposed method involves a detailed feature extraction process using Gray Level Co-occurrence Matrix (GLCM) for texture features, augmented by roughness and directional properties for comprehensive analysis. Subsequently, a graph cutting algorithm with a smooth cost factor is applied for semantic segmentation. The method was evaluated on a meticulously annotated dataset of 10,000 samples. Ten sets of experiments were conducted to evaluate the accuracy of the method. The results showed a consistently high accuracy ranging from 99.13% to 99.71%, with an average accuracy of 99.36%, demonstrating the robustness and effectiveness of the method in semantic recognition tasks. © 2024 IEEE.

关键词： Semantic Segmentation

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A Study on the Integration of AIGC Technology into Project-Based Learning in Animation 24

A Study on the Integration of AIGC Technology into Project-B...

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3rd International Conference on Artificial Intelligence and Education, ICAIE 2024

作者： Zhang, Qiuwan Lin, Chang Guangzhou Academy of Fine Arts School of Visual Arts Design Guangdong Guangzhou China

ISBN: (纸本)9798400712692

As artificial intelligence technologies developed, it has integrated with the majority of creative industries. Educators and students in animation are confronted with challenges and opportunities as a result of the adoption of Artificial Intelligence Generated Content(AIGC) tools. In light of recent developments, this research examines how AIGC technology can be utilized for teaching animation via projects-based learning (PBL). Besides, this research aims to investigate the improvement of students' creativity, independent learning and collaboration skills to meet the demand of animation industries. Therefore, a survey was conducted among students who participate in PBL course, which includes key areas such as project design, project implementation, project evaluation, and learning outcomes. With the use of Likert-scale questionnaires, this research obtain quantitative information. The results indicate that AIGC markedly improve student's the efficiency and quality of their output while it still has challenges in providing plentiful digital resource and optimizing of project design. Additionally, students shows enhancements in creativity and technical skills, although gaps arose in access to resources for independent learning. In the end, the report culminates with practical recommendations on how to incorporate more AIGC technology into animation instruction, highlighting the requirement for enhanced instructional resources and more explicit evaluation criteria. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Students

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Glance through while dazed 23

Glance through while dazed

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16th International Symposium on visual Information Communication and Interaction, VINCI 2023

作者： Li, Qingtang Tan, Liang School of Visual Arts Design Guangzhou Academy of Fine Arts China

ISBN: (纸本)9798400707513

Glance through while dazed is a set of six sheets of generative art, based on the understanding of vision and perception in the 21st chapter of the Tao Te Ching, through which the author wishes to respond to the perception that there are ambiguous rules between the world of experience and the world of perception. All the images of the basic elements in this work are generated from stable diffusion model. The descriptions of these basic elements are derived from the author's descriptions of real world streets, which are random and unpredictable. In the end, 400+ images were generated by describing the appearance of dozens of streets. During the compositing stage, the author selected 20-30 clips for each piece and then stacked the selected images. The stacked images are abstract and also present an overall tone, with each clip added affecting the final result. © 2023 Owner/Author.

关键词： arts computing

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An Interactive System design Based on Biofeedback and Breathing Exercise 23

An Interactive System Design Based on Biofeedback and Breath...

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16th International Symposium on visual Information Communication and Interaction, VINCI 2023

作者： Wen, Xueying Tan, Liang School of Visual Arts Design The Guangzhou Academy of Fine Arts China

ISBN: (纸本)9798400707513

As society evolves, more and more individuals recognize that chronic tension is one of the primary causes of mental health issues. In tandem with the maturation of biofeedback research, biofeedback technology has been applied to relaxation training and stress management. The purpose of the study was to use the design thinking methodology to create an interactive system design that incorporates biofeedback techniques with traditional breathing relaxation techniques to reduce stress and enhance concentration. In this paper, we evaluated and reflected on the prototype design through user testing. The results indicate that the design of this interactive system is not only acceptable and promising, but also capable of producing a novel calming experience. © 2023 ACM.

关键词： Biofeedback

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Evaluation of ecological importance and improvement in urban landscaping and modern urban health through digital innovation

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Journal of Commercial Biotechnology 2022年第2期27卷 77-87页

作者： Shao, Xinran School of visual communication design Lu Xun Academy of Fine Arts Dalian110003 China

The application of digital innovation in urban areas is becoming increasingly prevalent. Digital innovation provides the opportunity for health improvements due to greater exposure to health information and knowledge through social media, apps and other mediums. For this reason, it is important to evaluate whether or not digital innovation in urban areas has led to better health outcomes. Studies have found that,it may be linked to reduced obesity rates because there are applications that promote healthy food choices and exercise routines. However, there is not enough data on the long-term effects of these innovations so far. Although there may be some benefits of increased accessibility to health information through digital means, without proper assessment and evaluation, more problems can arise as a result of unbalanced interventions. © 2022 ThinkBiotech LLC. All rights reserved.

关键词： Health

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Application of Text-to-Image Technology for Repoussé Craft 16

Application of Text-to-Image Technology for Repoussé Craft

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16th Textile Bioengineering and Informatics Symposium, TBIS 2023

作者： Shao, Hong-En School of Fashion Design Shanghai Institution of Visual Arts Wenxiang Road Shanghai201620 China

ISBN: (纸本)9781713879473

Text-to-image technology is a technology for mapping target image sets through natural language and is the latest production method for new content. The repoussécraft is a type of ancient Chinese gold and silver fine art craft. Although the craft has been studied, its exploration in the field of digital research is relatively new. To modernize the repoussé craft, this paper takes the combination of 3D generated drawings of repoussé craft motifs with text-to-image technology as a research object, applies current artificial intelligence to the study, and analyzes the possibilities of the combined application and related text specification recommendations. The results of the study show that the intervention of artificial intelligence technology has a significant enhancing effect on the innovation of ornament enhancement and combination methods. Further parametric exportable models are created in conjunction with 3D software to broaden the scope of application. The study introduces a novel method for combining repoussé craft with AI technology and provides new ideas for the future application of AI technology in fashion jewelry design and the wider field of fashion design. © TBIS 2023. All rights reserved.

关键词： Artificial intelligence

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Developmental Approaches to Artistic Literacy as Exemplified by Museums

Developmental Approaches to Artistic Literacy as Exemplified...

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作者： Weiying Wang School of Design Shanghai Institute of Visual Arts

With the development of society,we have gradually entered the age of information technology,and social art education has improved the world's artistic and cultural *** the prosperity of culture and the economy,art education and art literacy continue to move towards sustainable *** students should have diversified artistic literacy,this paper focuses on expanding the realization of artistic literacy education,formulating artistic literacy means according to the learning behavioral ability of different students,providing space for aesthetics and dissemination through campus art exhibitions,improving students' artistic and cultural literacy ability,and stimulating students' enthusiasm for *** paper uses the use of museums as a means of developing artistic literacy,improving students' artistic literacy,understanding and interpreting the world through direct experience in relation to phenomena,and stimulating students' interactive experiences within *** simple skinning and media synchronization of museum exhibits,students are able to better understand the meaning behind the exhibits in order to enhance the importance of art and the development of artistic literacy in young contemporary students.

关键词： art literacy museum learning art education touch interaction

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Machine learning-driven sustainable urban design: transforming Singapore's landscape with vertical greenery

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Asian Journal of Civil Engineering 2024年第5期25卷 3851-3863页

作者： Hussein, Mohammed Yousef Abu AL-Karablieh, Mutasem Al-Kfouf, Safa’ Taani, Mahmoud Department of Architecture Hijjawi Faculty Yarmouk University Irbid Jordan Department of Architecture Engineering College of Engineering Amman Arab University Amman Jordan Department of Visual Arts School of Arts and Design The University of Jordan Amman Jordan Department of Interior Design Faculty of Art & amp

Integrating state-of-the-art technology is now essential in pursuing environmentally sustainable urban development. This research focuses on Singapore's lush vertical landscape and explores the potential of machine learning. Specifically, Convolutional Neural Networks (CNN) to enhance sustainable urban design. The CNN-MOA model was created by incorporating the Mayfly Optimization Algorithm (MOA) to improve the performance of the CNN-based model further. Without the Mayfly Optimization Algorithm, the convolutional neural network (CNN) achieved impressive results. It had a total accuracy of 0.977725, a weighted average precision of 0.977679, a weighted average recall of 0.977725, a weighted average F1-Score of 0.977621, and a macro average precision of 0.953458. These measures unequivocally demonstrated CNN's ability to process and analyze data about urban design effectively. A significant advancement occurred when the fusion of the CNN model with the Mayfly Optimization Algorithm resulted in the creation of the CNN-MOA hybrid. The installation led to a substantial enhancement in the model's performance. The results revealed a weighted average accuracy of 99.98%, recall of 99.92%, macro average F1-Score of 99.95%, weighted average precision of 99.98%, weighted average recall of 99.98%, and weighted average F1-Score of 99.98%. Each of these indicators exhibited exceptional performance. The model's ability to comprehend and evaluate intricate urban design features has been significantly enhanced. These findings demonstrate significant prospects for the sustainable development of metropolitan areas, particularly in Singapore, as observed by urban planners. Combining machine learning with the Mayfly Optimization Algorithm offers a powerful method for enhancing the integration of vertical greenery and improving overall urban design. These developments align with Singapore's commitment to sustainable urban development, contributing to creating environmentally friendly and v

关键词： CNN-MOA hybrid model Convolutional neural networks (CNN) Machine learning Mayfly optimization algorithm (MOA) Singapore's landscape Sustainable city development Sustainable urban design Vertical greenery

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