간행물
한국컴퓨터게임학회 논문지 KCI 등재 Journal of The Korean Society for Computer Game
- 발행기관 한국컴퓨터게임학회
- 자료유형 학술지
- 간기 계간
- ISSN 1976-6513 (Print)2288-5528 (Online)
- 수록기간 2002 ~ 2025
- 주제분류 공학 > 컴퓨터학 공학 분류의 다른 간행물
- 십진분류KDC 370DDC 370
권호리스트/논문검색
제38권 제1호 (2025년 3월) 12건
1.
2025.03
구독 인증기관 무료, 개인회원 유료
This study aims to develop motion tracking-based multi-sports game content that can prevent dementia through exercise for normal elderly people and elderly people with mild cognitive impairment by combining virtual reality and motion tracking technology with game content, analyze the exercise effect through clinical trials, explore the optimal dementia prevention method, and develop exercise tools and content that can be used not only at dementia care centers and nursing homes but also at home to prevent dementia in the elderly. The development of a motion tracking exercise tool is to develop a motion tracking tool that can express body movements in real time in a game by wearing it on the body. The goal is to develop a network-based motion tracking tool that can measure body movements and exercise volume. Through clinical trials and analysis, the goal is to find a way to minimize exercise tools while maintaining the exercise effect so that the elderly can wear them easily. In addition, unlike general games that only use hands, we propose three types of content that can maximize the competitive element and fun through sports genre game exercise content that can improve exercise effects and cognitive abilities while moving the whole body. Based on this, we propose a plan to build a platform that includes a management tool that can analyze clinical trial data to study the exact dementia prevention effect through exercise and explore the optimal dementia prevention method.
4,000원
2.
2025.03
구독 인증기관 무료, 개인회원 유료
This study proposes a method for achieving more intuitive and efficient in-game character facial customization using Generative AI. Conventional avatar customization in MMORPGs is generally limited by fixed options, making it difficult to accurately recreate a desired appearance and requiring extensive work time. To address these issues, we employ Stable Diffusion to generate character facial images from text prompts, and then map the landmark data extracted by a facial recognition algorithm to the customization variables. Consequently, we confirmed that primary facial features eyes, nose, mouth, and so on could be integrated without the need for additional 3D modeling, allowing for faster and more creative customization than traditional manual adjustment. Moreover, by mapping the generated images onto a character’s appearance, we preserved the game’s narrative framework and polygon structure while maintaining a high degree of similarity in key facial elements such as eye shape, lips, and jawline. In future work, we intend to fine-tune the model using game-specific datasets and extend the customization scope to include clothing, items, and environments. This study not only demonstrates the potential of automated avatar customization through Generative AI but also serves as a foundational reference for novel approaches in subsequent game development.
4,000원
3.
2025.03
구독 인증기관 무료, 개인회원 유료
Colors That Paint Emotion and Narrative: A Colorological Analysis of Alberto Mielgo's Animated World
Color has become a fundamental element in contemporary visual arts, significantly influencing emotional resonance and narrative depth. Alberto Mielgo, an acclaimed animator and director, has gained international recognition for his innovative use of color and unconventional visual storytelling, particularly in digital animation. This study examines Mielgo's representative animated works—The Witness, The Windshield Wiper, and Jibaro—from a colorological perspective, analyzing how his distinctive chromatic strategies enhance narrative structure and emotional engagement. Specifically, The Witness employs extreme complementary contrasts of neon colors within urban environments to evoke simultaneous feelings of anxiety and allure. Conversely, The Windshield Wiper utilizes muted pastel palettes with subtle shifts in brightness and saturation to convey introspective emotions characteristic of modern urban life. Lastly, Jibaro integrates symbolic chromaticism through metallic gold tones contrasted against serene natural hues, visually allegorizing themes of greed, toxic relationships, and colonial violence. Through these analyses, this paper highlights how Mielgo's sophisticated integration of traditional color theory with contemporary digital technologies expands the expressive possibilities of animation. Ultimately, this research underscores the critical role of color as more than mere aesthetic decoration; rather, it functions as a powerful narrative device capable of profoundly shaping viewer perception and emotional immersion. The findings further suggest meaningful implications for future creative practices across diverse digital media platforms including animation, gaming, VR (Virtual Reality), and XR (Extended Reality).
4,000원
4.
2025.03
구독 인증기관 무료, 개인회원 유료
This study proposes and verifies a next-generation 3D modeling pipeline integrating Generative AI and Photogrammetry techniques. Two types of objects were selected for experimentation: a bust combining characteristics of both objects and characters, and a stone slab exhibiting planar and symmetrical features. Firstly, videos depicting these objects from various viewpoints were generated using generative AI models. Secondly, these videos were processed through Photogrammetry software to produce high-quality 3D meshes and diffuse textures. Lastly, post-processing including high and Low-polygon mesh separation, UV unwrapping, and texture baking was performed, successfully producing Physically Based Rendering (PBR)-compatible game assets. The proposed pipeline demonstrates significant potential for practical applications across various industries, and further advances in generative AI and future research are expected to broaden this novel approach to digital asset creation.
4,000원
5.
2025.03
구독 인증기관 무료, 개인회원 유료
This study is a follow-up study to a previous study that analyzed the process of participants with different brain tendencies using content through user interviews in developing a mobile application that reflects theories related to brain information processing. By reflecting the guidelines obtained through prototype development and user research, a responsive web that can be used in educational settings was developed. This study utilized the characteristic that Chinese characters are created by visualizing images and applied it to art education, where visual images are important in learning. Based on research on the differences in information processing methods between the left and right brains, this content was developed following the guidelines of a previous study that reflects the characteristics of information processing that differ depending on the user's brain tendencies, and we hope that it will be helpful in educational settings.
4,000원
6.
2025.03
구독 인증기관 무료, 개인회원 유료
As the E-commerce market grows, the importance of personalized recommendation systems is increasing. Existing collaborative filtering and content-based filtering methods have shown a certain level of performance, but they have limitations such as cold start, data sparseness, and lack of long-term pattern learning. In this study, we design a matching system that combines a hybrid recommendation system and hyper-personalization technology and propose an efficient recommendation system. The core of the study is to develop a recommendation model that can improve recommendation accuracy and increase user satisfaction compared to existing systems. The proposed elements are as follows. First, the hybrid-hyper-personalization matching system provides recommendation accuracy compared to existing methods. Second, we propose an optimal product matching model that reflects user context using real-time data. Third, we optimize Personalized Recommendation System using deep learning and reinforcement learning. Fourth, we present a method to objectively evaluate recommendation performance through A/B testing.
4,300원
7.
2025.03
구독 인증기관 무료, 개인회원 유료
This Study developed a VR functional game that allows players to experience the life of a stray dog and analyzed the effects of this experience on improving awareness and perception of stray dogs. The game was designed to enhance realism by providing a first-person perspective as a stray dog and simulating various situations that stray dogs typically encounter. A pre- and post-survey was conducted with 20 adult participants to measure changes in perception. The results showed that after experiencing the game, participants demonstrated increased understanding of the realities faced by stray dogs, improved perceptions, greater interest in the issue, and a higher willingness to adopt stray dogs. These findings indicate that the design elements of the VR functional game—such as perspective, realism, and immersion— contribute positively to fostering empathy and improving perceptions toward stray dogs.
4,200원
8.
2025.03
구독 인증기관 무료, 개인회원 유료
The development of artificial intelligence (AI) has significantly enhanced virtual reality (VR) content. However, existing integrations of VR and AI technologies have largely focused on the isolated applications of each technology, limiting the potential for creating content that meets the original purposes of AI technologies. This paper proposes a fairy tale VR game that integrates AI technologies to provide personalized and immersive user experiences. Key innovations include the implementation of interactive non-playable characters using OpenAI's ChatGPT, dynamic storytelling based on user choices, and realistic hand gesture recognition through the Meta Quest 2 controller. Additionally the game employs advanced AI systems such as GPT-4 and DALL-E to generate customized sentences and images, enriching the interactivity and educational value of VR environments. Our study makes a significant contribution to the literature by bridging the gap between traditional VR games and AI-driven interactivity, demonstrating how AI technologies can transform user engagement and immersion.
4,000원
9.
2025.03
구독 인증기관 무료, 개인회원 유료
Advances in digital tools and building structure technologies have enabled more flexible architectural design, with AI-based performance design gaining considerable attention as a new design methodology. Stadium design must consider the two primary elements of sports events: athletes and spectators. Given that the facade of a stadium directly impacts solar energy efficiency, it is essential to incorporate environmental performance considerations from the initial design phase. This study employs an AI-based Generative Design process to generate a facade form that efficiently manages solar radiation and daylight, satisfying two conflicting performance objectives: max- imizing sunlight for turf growth in the pitch zone and minimizing direct sunlight exposure in the stadium seating zone. The optimal solution derived ranks 331st for pitch zone sunlight and 408th for stadium seating sunlight out of a dataset of 1,000 models. While this solution does not represent the absolute best for either individual objective, it is evaluated as the most balanced alternative, achieving the goal of maximizing sunlight in the pitch zone and minimizing it in the seating zone
4,300원
10.
2025.03
구독 인증기관 무료, 개인회원 유료
Dae-Won Park, Changyu-AO, Seung-Eon Jeong, Soo-Kyung Moon, Youn-Mo Soung, Man-Sung Kwen, Uk Cho, Dae-In Kang, Sung-Ho Jung, Gwang-Jun Kim
Animal pattern recognition from nighttime grayscale images is crucial for wildlife protection and ecological monitoring. Most of the current models suffer from a large parameter scale, making them unsuitable for deployment in resource-constrained environments. To address this challenge, this study proposes a multi-layer knowledge distillation approach based on the teacher Convnext model to improve the lightweight student model's classification performance effectively. Experimental results show that the parameters of the distilled CifarResNet20 model are only 0.27M, and the accuracy is 88.76%, which is superior to the traditional single-layer distillation and another tiny student model. The study confirms the efficiency and practical value of the proposed method in practical applications such as ecological monitoring.
4,000원
11.
2025.03
구독 인증기관 무료, 개인회원 유료
Seung-Eon Jeong, Changyu-AO, Soo-Kyung Moon, Dae-Won Park, Youn-Mo Soung, Man-Sung Kwen, Uk Cho, Dae-In Kang, Sung-Ho Jung, Gwang-Jun Kim
Crop diseases seriously affect food security, and traditional identification methods are inefficient and inaccurate. This paper proposes a GoogLeNet model with an attention mechanism. By integrating an attention module inside the Inception module, the recognition ability of subtle disease features and complex backgrounds is improved. Based on strict data preprocessing and enhancement, the proposed method achieves 87.75% accuracy on the AI Challenger 2018 crop disease dataset, which is better than the existing advanced methods, which verifies the effectiveness and practicability of the method and provides technical support for smart agriculture.
4,000원
12.
2025.03
구독 인증기관 무료, 개인회원 유료
Soo-Kyung Moon, Changyu-AO, Seung-Eon Jeong, Dae-Won Park, Youn-Mo Soung, Man-Sung Kwen, Uk Cho, Dae-In Kang, Sung-Ho Jung, Gwang-Jun Kim
Germination of chili pepper seeds is critical for crop yield and resource utilization. A high germination rate increases yield and effectively reduces resource wastage. This study collected 450 macroscopic images of chili pepper seeds and constructed a dataset for deep learning training through standardized germination experiments. Six deep learning models were evaluated to improve the chili pepper seed classification accuracy and germination rate. After comparing the performance of the models, MobileNet_v2 performed the best, not only having the fewest number of parameters but also achieving a 98.89% accuracy and 97.82% F1 score. The model improved the original germination rate from 87.33% to 100% on the test set, significantly optimizing the seed selection process
4,000원
