• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.4
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• pp.1426-1447
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• 2021

The payoff game between task publishers and users in the mobile crowdsensing environment is a hot topic of research. A optimal payoff selection model based on stochastic evolutionary game is proposed. Firstly, the process of payoff optimization selection is modeled as a task publisher-user stochastic evolutionary game model. Secondly, the low-quality data is identified by the data quality evaluation algorithm, which improves the fitness of perceptual task matching target users, so that task publishers and users can obtain the optimal payoff at the current moment. Finally, by solving the stability strategy and analyzing the stability of the model, the optimal payoff strategy is obtained under different intensity of random interference and different initial state. The simulation results show that, in the aspect of data quality evaluation, compared with BP detection method and SVM detection method, the accuracy of anomaly data detection of the proposed model is improved by 8.1% and 0.5% respectively, and the accuracy of data classification is improved by 59.2% and 32.2% respectively. In the aspect of the optimal payoff strategy selection, it is verified that the proposed model can reasonably select the payoff strategy.

• Physical Therapy Rehabilitation Science
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• v.11 no.2
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• pp.154-164
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• 2022

Objective: The purpose of this study is to select a cognitive training game that can evaluate five cognitive domains and to study their validity with existing cognitive evaluation tools. Design: Methods: Delphi survey was conducted through the 2nd questionnaire for 30 experts to select games suitable for training 5 cognitive domains. Five cognitive training games and Mini Mental State Examination - Korea(MMSE-K), and cognitive impairment screening test(CIST) were conducted for 82 elderly in the community. Pearson correlation analysis was performed to find out the correlation of the three tests. The ROC curve was used to calculate the selection criteria for the game results for the screening evaluation of the presence or absence of mild cognitive impairment. Results: The coefficient of variation to evaluate the stability of the Delphi survey was less than 0.50 in most game items. The 'correct answers' and 'level' of the five final selected game items showed a statistically significant positive correlation with the CIST and MMSE-K scores. CIST score and 'time' of all game items except 'number making_time' showed a statistically significant negative correlation. Conclusions: The validity of the cognitive training program using smart devices was evaluated, and the criteria for classifying the cognitive domain and distinguishing the presence or absence of cognitive impairment were confirmed.

• Journal of the Ergonomics Society of Korea
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• v.31 no.4
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• pp.585-591
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• 2012

Objective: The aim of this study is to propose the contactless gesture-based interface on smart mobile devices for especially rhythm action games. Background: Most existing approaches about interactions of smart mobile games are tab on the touch screen. However that way is such undesirable for someone or for sometimes, because of the disabled person, or the inconvenience that users need to touch/tab specific devices. Moreover more importantly, new interaction can derive new possibilities from stranded game genre. Method: In this paper, I present a smart mobile game with contactless gesture-based interaction and the interfaces using computer vision technology. Discovering the gestures which are easy to recognize and research of interaction system that fits to game on smart mobile device are conducted as previous studies. A combination between augmented reality technique and contactless gesture interaction is also tried. Results: The rhythm game allows a user to interact with smart mobile devices using hand gestures, without touching or tabbing the screen. Moreover users can feel fun in the game as other games. Conclusion: Evaluation results show that users make low failure numbers, and the game is able to recognize gestures with quite high precision in real time. Therefore the contactless gesture-based interaction has potentials to smart mobile game. Application: The results are applied to the commercial game application.

• Journal of Korea Game Society
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• v.18 no.6
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• pp.29-38
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• 2018

Although computer games seem to be efficient tools for facilitating and supporting situated learning in Europe, GBL(game based learning) is less likely in Korea. The objectives of this paper are to address the causes of the problem and evaluate a serious game for history GBL. We review various cases of history GBL projects in European School Net, commercial games and serious games which are related to history. We draw a demand of our game's structural type, learning criterion, basic model of instruction, and executable prototype from the analysis results. Scene management educators pursue and dependencies of turning points in the history are critical differentiator. An evaluation team of educators, learners, and edu-game managers evaluates that the prototype is suitable model for application in history instruction.

• Journal of the Korea Convergence Society
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• v.13 no.2
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• pp.235-248
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• 2022

Through the research on the design evaluation index of parent-child interactive game furniture, it is convenient for designers to quantitatively analyze the design advantages and disadvantages of related products, which is of positive help to control and improve the design quality. Combined with AHP and TOPSIS, this study proposes the evaluation model of three design criteria and 26 design indexes. After expert scoring, calculation, and consistency test of each index, the weight value of each design index is obtained, and the index is classified according to the importance of each index. Finally, eight essential indicators, eleven secondary indicators, and seven general indicators are classified. A case study was conducted with TOPSIS, and the design samples of three parent-child climbing game furniture were analyzed. Finally, the three samples' relative proximity was 0.505, 0281, and 0.640, respectively. The research shows that the AHP-TOPSIS method can scientifically and effectively sort and screen the advantages and disadvantages of design schemes and provide a reference for the research and development of related products.

• Journal of Korea Game Society
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• v.16 no.5
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• pp.131-148
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• 2016

The cultural status of the game is always compared with the various area of art, and this discussion is continuing from appearance of the game to the present. During the same period, the cultural influence of the game is gradually increased, but public awareness was significantly undervalued the artistic value of the game. So, the change in this evaluation is needed in order to constantly maintain a cultural influence and to provide a positive influence on our society. Therefore, it is required that the research to prove their aesthetic value in the viewpoint of the game. This paper explores the new aesthetic potential of the game through a discussion of various similarities and the relationship between games and art. We look at the views on the game from the artistic point of view through game art and art game. And it find out the aesthetic subject and value of game. Finally, the approach through features of the information aesthetics and the generative aesthetics helps your understanding of the game aesthetics.

• Journal of Korea Game Society
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• v.10 no.6
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• pp.67-78
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• 2010

Game is the cultural product, which gives users high authority in usage process with its high interactivity. This study is about the user innovation based on customer empowerment, and the possibilities to change the game itself applying high activity of the game. Especially, game modification, which users transform the original game, is an example that the interactivity and changeability of game are maximized. However, these elements were not considered when constructing frameworks to investigate the competition and strategy in game industry. Therefore, this study is based on the customer empowerments of the game modification. Moreover, this study proposes the newly reorganized strategic group map in game industry, which is based on game user innovation and user evaluation.

• Journal of Information Processing Systems
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• v.16 no.5
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• pp.1074-1082
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• 2020

Recently, research has been actively conducted to create artificial intelligence agents that learn games through reinforcement learning. There are several factors that determine performance when the agent learns a game, but using any of the activation functions is also an important factor. This paper compares and evaluates which activation function gets the best results if the agent learns the game through reinforcement learning in the 2D racing game environment. We built the agent using a reinforcement learning algorithm and a neural network. We evaluated the activation functions in the network by switching them together. We measured the reward, the output of the advantage function, and the output of the loss function while training and testing. As a result of performance evaluation, we found out the best activation function for the agent to learn the game. The difference between the best and the worst was 35.4%.

• Journal of Digital Contents Society
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• v.18 no.7
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• pp.1259-1265
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• 2017

While there is consensus on the educational potential of serious games, there is still a lack of methodology and tools to support analysis and evaluation as well as design. This paper intends to explore the new methodology or design direction by analyzing pedagogy-related research required for serious games. To do this, we analyzed 4DF(Four Dimensional Framework), GOM(Game Object Model), LM(Learning Mechanics)-GM(Game Mechanics) and a framework for teacher. One of the biggest issues faced by educational games is the inadequate integration of education and game principles. This is due to a variety of factors, including the fact that game designers and educational professionals do not share a common vocabulary or work domain perspective.

• Journal of Korea Game Society
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• v.21 no.3
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• pp.107-116
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• 2021

Full-board position evaluation in Go is a measurement of judging the advantages and disadvantages between black and white players during a game playing, and through this, the proper tactics and strategies would be undertaken in the near future. In this paper, we tried to evaluate the full-board positions of the 50 AlphaGo vs AlphaGo games using influence function that halved according to the distance. According to the experimental results, there is a limit to making accurate evaluation when the full-board position is assessed only by influence function. In order to overcome this, it is necessary to solve life-and-death problems to deal with dead stones, and it showed that if this is reinforced, we can precisely evaluate the full-board position in Go.