• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.603-614
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• 2021

The purpose of this study is to explore whether reading picturebooks portraying children's play assists adult readers to recall their childhood play memories according to the narrative model of human development. In this study, adult readers recalled their play memories before and after reading a picturebook depicting children's play. Adult readers' responses to the picturebooks were also collected. The types of play from their memories were categorized and the responses were qualitatively analyzed through open coding. The results indicated that first, before reading picturebooks portraying children's play, the type of play that adult readers mostly recalled was games with rules which happened outdoor. Second, after reading a picturebook, adult readers recalled new play memories which contained more detailed elements of narratives. Third, most adult readers responded to picturebooks either emotionally or aesthetically. This study suggests the perspective on picturebooks as a literature and art genre for readers from birth to death. In addition, as an evocative object, a picturebooks could assist adult readers to recall and rediscover their childhood.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.1-6
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• 2023

Uncanny Valley is a theory proposed by Japanese robot engineer Masahiro Mori in 1970, and refers to the point where the likability drops sharply when the appearance of a robot becomes very similar to a human being without a fully equipped robot. In this study, the theory of existing literature, related papers, and experimental data were analyzed to examine the Uncanny Valley effect that affects character design. The purpose of this study is to analyze whether the Uncanny Valley effect is applied to modeling virtual characters distributed in the Unreal Engine Marketplace. To this end, 15 characters were selected based on the similarity with humans in the Marketplace of the Unreal Engine, and similarity with humans and likability were investigated and analyzed. As a result of the experiment, it was confirmed that the Uncanny Valley effect was similarly applied to virtual character modeling, and through this, guidelines for the use of characters by indie game developers or individual developers using Unreal engines were presented. In addition, through result analysis, we tried to examine the direction to be pursued when designing characters.

• Journal of the Korean Society of Physical Medicine
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• v.17 no.4
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• pp.133-139
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• 2022

PURPOSE: The purpose of this study was to investigate the effects of a group exercise program with competitive games on balance in chronic stroke patients. METHODS: The subjects were chronic stroke patients living at home after their discharge from the hospital. A total of 32 subjects were divided into two groups. The experimental group performed a group exercise program with competitive games, and the control group performed individual exercises. The exercise program duration was one hour, and it comprised 10 minutes of stretching, 40 minutes of the main exercise, and 10 minutes of stretching at the end. The experimental group was divided into two teams of 8 players each and played competitive games (transfer a gym ball to another person, relay 10 m walking and return, transfer an object to the next person using both arms while sitting). The control group performed an arm/trunk exercise for 15 minutes and gait training for 25 minutes. These exercises were conducted twice a week (4 weeks). The Berg Balance Scale (BBS) and timed up-and-go (TUG) tests were performed to confirm the change in balance. RESULTS: In the experimental group, BBS showed a significant increase (p < .05) and TUG showed a significant decrease (p < .05). In the control group, there was no statistically significant change in the BBS. However, the TUG showed a significant decrease (p < .05). The BBS and TUG both showed statistically significant differences (p < .05) in the between-group comparison of the change in pre-post intervention values. CONCLUSION: A group exercise program with competitive games to improve the balance ability for fall prevention in chronic stroke patients could be used as a good intervention method.

• Journal of the Korea Society for Simulation
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• v.18 no.4
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• pp.21-28
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• 2009

In the past, most of battle occurred in flatland and simple military force size gave a big influence in combat result. However, after the World War I, most of battles took place at the various terrain features such as forest, downtown, jungle and many others. Therefore, terrain factor exerts big influence on battle with weapon system in the ground warfare. However, effect of terrain has been explained only by quantitative manner in the battle. Furthermore, combat simulation and modeling applied a method that lower the combat capability of battle factors. In this paper, we present instrumentation that evaluate impact of terrain using fractal dimension. We determine the fractal dimension value by the "box counting dDimension" and density to calculate impact of terrain. Furthermore, we analyzed correlation with fractal dimension and density for battle result that obtained from the EINSTein model which is an agent-based simulation. We compare with 'Stalingrad battle' result out of battle example and analyzed. This study presented a method combat effectiveness that effect of terrain calculate quantitatively using fractal dimension.

• Design Convergence Study
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• v.15 no.5
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• pp.185-197
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• 2016

The purpose of this paper is to propose office healthcare UX scenarios using gamification techniques. Today, there is increased recognition of office workers' health, and gamification can be a great method to enhance their health. To design effective healthcare service for office workers, first, two levels of gamification design were identified―interface design level and gameplay experience design level. Second, office workers' health problems resulting from office work were collected from their blogs and 13 insights were derived by analyzing the collected data. Finally, 2 UX scenario implementing gamification in the workplace was proposed to promote healthy lifestyle behaviors for office workers.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.2
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• pp.79-86
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• 2024

In this paper, we propose a virtual learning platform based on various interactions that occur during real class activities, rather than the existing content delivery-oriented learning metaverse platform. In this study, we provide a learning environment that combines AI and a virtual environment to solve problems by talking to real-time AI. Also, we applied G-learning techinques to improve class immersion. The Virtual Edu platform developed through this study provides an effective learning experience combining self-directed learning, simulation of interest through games, and PBL teaching method. And we propose a new educational method that improves student participation learning effectiveness. Experiment, we test performance on learninng activity based on real-time video classroom. As a result, it was found that the class progressing stably.

• Journal of the Korea Computer Graphics Society
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• v.25 no.3
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• pp.85-92
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• 2019

A 3D virtual character playing a role in a digital story-telling has a unique style in its appearance and motion. Because the style reflects the unique personality of the character, it is very important to preserve the style and keep its consistency. However, when the character's motion is directly controlled by a user's motion who is wearing motion sensors, the unique style can be discarded. We present a novel character motion control method that uses only a small amount of animation data created only for the character to preserve the style of the character motion. Instead of machine learning approaches requiring a large amount of training data, we suggest a search-based method, which directly searches the most similar character pose from the animation data to the current user's pose. To show the usability of our method, we conducted our experiments with a character model and its animation data created by an expert designer for a virtual reality game. To prove that our method preserves well the original motion style of the character, we compared our result with the result obtained by using general human motion capture data. In addition, to show the scalability of our method, we presented experimental results with different numbers of motion sensors.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.687-692
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• 2023

We analyze the accuracy of emotion analysis of natural language processing deep learning model and propose to use it for emotional content development. After looking at the outline of the GPT-3 model, about 6,000 pieces of dialogue data provided by Aihub were input to 9 emotion categories: 'joy', 'sadness', 'fear', 'anger', 'disgust', and 'surprise'. ', 'interest', 'boredom', and 'pain'. Performance evaluation was conducted using the evaluation indices of accuracy, precision, recall, and F1-score, which are evaluation methods for natural language processing models. As a result of the emotion analysis, the accuracy was over 91%, and in the case of precision, 'fear' and 'pain' showed low values. In the case of reproducibility, a low value was shown in negative emotions, and in the case of 'disgust' in particular, an error appeared due to the lack of data. In the case of previous studies, emotion analysis was mainly used only for polarity analysis divided into positive, negative, and neutral, and there was a limitation in that it was used only in the feedback stage due to its nature. We expand emotion analysis into 9 categories and suggest its use in the development of emotional content considering it from the planning stage. It is expected that more accurate results can be obtained if emotion analysis is performed by additionally collecting more diverse daily conversations through follow-up research.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.4
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• pp.728-736
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• 2007

The more improved the Internet and the information technology, the stronger cryptographic system is required which can satisfy the information security on the platform of personal hand-held devices or smart card system. This paper introduces a case study of designing an elliptic curve cryptographic processor of a high performance that can be suitably used in a wireless communicating device or in an embedded system. To design an efficient cryptographic system, we first analyzed the operation hierarchy of the elliptic curve cryptographic system and then implemented the system by adopting a serial cell multiplier and modified Euclid divider. Simulation result shows that the system was correctly designed and it can compute thousands of operations per a secdond.

• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.283-288
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• 2019

In order to overcome the students' lack of information and experience, we developed a content planning tree that utilizes a decision tree. The content planning tree consists of a tree trunk creation step in which students select a theme and a story to develop, a parent branch generation step for selecting a category that can be developed based on the story, a child branch generation step for selecting the interesting "effect" method of producing the content effectively, a leaf generation step for selecting a multimedia expression 'element' to be visualized. The educational model was applied to game planning design and information visualization lectures, and provides examples of the categories, effects, and elements used in each lecture. The model was used for 145 team projects and the efficiency was confirmed by a step-by-step learning process.