• Title/Summary/Keyword: Game goods

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A Game theoretic analysis of public goods allocation in p2p networks

  • Zhang, Qingfeng;Wang, Sheng;Liao, Dan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.8
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    • pp.2854-2874
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    • 2015
  • This paper presents a game theoretic approach to analyze the public goods (PGs) allocation in peer-to-peer (p2p) networks. In order to reduce the free-riders and promote the cooperation among peers, we propose an incentive mechanism with cooperation-based game theory. In this paper, we regarded the contributed resources by cooperators as public goods (PGs). We also build the PGs allocation in P2P networks to be the optimization problem, and the optimal solution of PGs allocation satisfies the Bowen-Lindahl-Samuelson equilibrium. Firstly, based on the subscriber mechanism, we analyze the feasibility and prove the validity, which can achieve Nash equilibrium. However, this strategy cannot meet to Bowen-Lindahl-Samuelson equilibrium as the free-riders do not pay with their private goods for consuming the PGs. Secondly, based on the Walker mechanism, we analyze the feasibility and prove the validity for the same allocation problem, which meets to Bowen-Lindahl-Samuelson equilibrium and achieves Pareto efficiency within cooperative game. Simulations show that the proposed walker mechanism can significantly improve the network performance of throughout, and effectively alleviate free-riding problem in P2P networks.

Correlation Analysis between Game Bots and Churn using Access Record (Access Record를 활용한 게임 봇과 유저 이탈의 상관관계 분석)

  • Kim, Young Hwan;Yang, Seong Il;Kim, Huy Kang
    • Journal of Korea Game Society
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    • v.18 no.5
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    • pp.47-58
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    • 2018
  • Game bots distribute a large amount of goods or items used in a game, thereby lowering the value of game goods and items. Also, a large number of game bots hunt monsters and collect items, which hinders ordinary users from enjoying content normally. However, no research has been done on the type of user and the type of activity that the increase in bots specifically affects. Therefore, this study provides a practical implication to encourage users to use games by classifying types based on the game users' access data and analyzing the correlation with user departure due to the increase of bots.

The Thought on Method of Game Advertisement (게임 광고 방법에 대한 고찰)

  • Park, Moo-Won;Jung, Kwang-Ho
    • Journal of Korea Game Society
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    • v.1 no.1
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    • pp.37-41
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    • 2001
  • Ad(advertisement) is a gateway that makes the public recognize enterprises, and a tool that can maximize customers' interest. How this kind of Ad is delivered to consumers governs an enterprise's image or goods' reliability. That's why enterprises spend much money in advertising their products in various ways such as TV Ad, newspaper Ad, magazine Ad, placards and so on Accordingly, this study intends to look at Game Ad among a number of Ads, which enables game users to enjoy games at low expense and at the same time makes them naturally recognize enterprises images or product PR.

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Development of the Empty Container Simulation Game (공 컨테이너 시뮬레이션 게임)

  • Goh, Jeong-Bun;Moon, Il-Kyeong
    • IE interfaces
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    • v.23 no.2
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    • pp.89-99
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    • 2010
  • Containers are commonly used as an effective and relatively inexpensive method for transporting goods. Unfortunately, there are often imbalances between the number of import and export containers, and some ports have a surplus of empty containers while others have a deficit. The Empty Container Simulation Game was developed to address these problems. The game is a computer role playing simulation that simulates the distribution of empty containers in order to solve empty container imbalances among ports. An optimal solution is obtained by the computer using linear programming (LP). Upon completion of the game, a player's game results are displayed along with the LP solution. The game interface was designed to provide easy access and operation. This game will serve to provide an easy understanding and planning for empty container management.

Quick and easy game bot detection based on action time interval estimation

  • Yong Goo Kang;Huy Kang Kim
    • ETRI Journal
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    • v.45 no.4
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    • pp.713-723
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    • 2023
  • Game bots are illegal programs that facilitate account growth and goods acquisition through continuous and automatic play. Early detection is required to minimize the damage caused by evolving game bots. In this study, we propose a game bot detection method based on action time intervals (ATIs). We observe the actions of the bots in a game and identify the most frequently occurring actions. We extract the frequency, ATI average, and ATI standard deviation for each identified action, which is to used as machine learning features. Furthermore, we measure the performance using actual logs of the Aion game to verify the validity of the proposed method. The accuracy and precision of the proposed method are 97% and 100%, respectively. Results show that the game bots can be detected early because the proposed method performs well using only data from a single day, which shows similar performance with those proposed in a previous study using the same dataset. The detection performance of the model is maintained even after 2 months of training without any revision process.

Development of Character Goods Content Utilizing Marker-based Augmented Reality (마커기반 증강현실을 활용한 캐릭터 굿즈 콘텐츠 개발)

  • AHN CHAN JE
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.953-958
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    • 2024
  • Recently, there has been growing interest in the Fourth Industrial Revolution, with a particular focus on the advancement of augmented reality (AR) devices. However, there is a shortage of AR content. Augmented reality operates through marker-based and markerless methods. The marker-based approach involves using a camera to capture images that serve as markers, enhancing them through AR principles. To address the scarcity of AR content and improve the quality of character goods, this study proposes integrating AR technology into character goods. The character industry is expanding each year, leading to a diverse range of character goods. Character acrylic stands, among these goods, leverage game, webtoon, and animation character IPs for sales. To enhance the design process, we utilized the character image as a marker, allowing for the creation of content that aligns with the characteristics of the character IP. We selected a webtoon character and developed AR content, incorporating features such as voice, speech bubbles, and an introduction to the webtoon, tailored to the webtoon's characteristics. This study demonstrates the potential of AR to present visual and auditory information, paving the way for a variety of products, including diverse content. We anticipate that utilizing this research will lead to the emergence of products encompassing various contents.

A Study on the effect of Secondary Work of Game on Users and Game Companies (게임의 2차 창작물이 유저와 게임사에 미치는 영향에 관한 연구)

  • Kim, Min-Ju;Kim, Ji-Hye;Lee, Jong-Won
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.07a
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    • pp.289-292
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    • 2019
  • 매년 수많은 게임이 출시되면서 유저들이 게임을 즐기는 방법도 다양해졌다. 이중 게임을 바탕으로 유저가 창의성을 더해 2차 저작물을 제작하는 방법이 주류를 이루고 있다. 자신이 좋아하는 게임에 대한 애정을 표현하는 한 가지 방법이라고 할 수 있으며, 이러한 2차 창작 활동은 유저의 심리적인 만족감을 채워주는 것과 동시에 게임의 홍보기능도 한다. 하지만 게임사마다 2차 저작물과 관련된 규제가 다르며 유저들은 그 규제를 모르는 경우가 많아 원저작자의 권리를 침해하기도 한다. 본 논문에서는 2차 창작 활동에 대한 유저의 의견과 게임사의 정책 및 대응을 조사하고 유저와 게임사 모두가 만족할 수 있는 방안을 제시하고자 한다.

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The effects of economy education through MMORPG (온라인 게임을 통한 아동 경제 학습 효과 분석)

  • Wi, John-H.;Oh, Na-Ra;Kim, Yang-Eun
    • Journal of Korea Game Society
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    • v.5 no.4
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    • pp.13-22
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    • 2005
  • The research is a study on the effects of MMORPG (Massively Multi-player Online Role Playing Game) utilized in educational program. We investigated the possibilities of online game as an educational tool, especially in the field of economy education. Students have been taught market, price, profit, scarcity of goods etc., and then they played an online game we provided. Students manufactured cyber goods and also sold or bought various materials to maximize their profits. A experimental group was compared with a control group on measures of economic self-efficacy, motivation for economic learning, and attitude for economic learning, economic self-efficacy and motivation for economic leaning scales consist of 2 factors and attitude for economic leaning consists of 1 factor. Participants were 5th grade elementary school students(experimental group: 154, control group: 158). After the experiment, students' self-efficacy and motivations for economy learning have increased significantly. It has been found that students understand more easily the difficult economic terms such as' inflation', 'price setting', 'scarcity of goods etc. Their motivations for economy learning also increased significantly. This result indicates that online games have the potentiality that can be utilized as an educational tool.

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Quasi-public operating Bus nature of the public interest as a moral hazard - Game theoretical approach as the Yeosu area cases (도덕적 해이로서 공익적 성격의 버스운송 체계 - 여수 시내버스 사례에 대한 게임이론적 접근)

  • Lee, Moo-Seong
    • The Journal of the Korea institute of electronic communication sciences
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    • v.10 no.11
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    • pp.1285-1296
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    • 2015
  • As examples of the region's transition to quasi-public goods a previous stage of full public goods also extremely limited in research. However, in this way can it compensate for this paper as a system to minimize moral hazard by electronic information and communication systems focused on safety in accordance with the methods and gave public goods introduction of grafting of electronic information systems played the Yeosu area to specific cases I went to the deployment.

A Study of Factors Influencing Helpfulness of Game Reviews: Analyzing STEAM Game Review Data (게임 유용성 평가에 미치는 요인에 관한 연구: 스팀(STEAM) 게임 리뷰데이터 분석)

  • Kang, Ha-Na;Yong, Hye-Ryeon;Hwang, Hyun-Seok
    • Journal of Korea Game Society
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    • v.17 no.3
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    • pp.33-44
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    • 2017
  • With the development of the Internet environment, various types of online reviews are being generated and exchanged among consumers to share their opinions. In line with this trend, companies are making efforts to analyze online reviews and use the results in various business activities such as marketing, sales, and product development. However, research on online review in industry related to 'Video Game' which is representative experience goods has not been performed enough. Therefore, this study analyzed STEAM community review data using machine learning techniques. We analyzed the factors affecting the opinion of other users' game review. We also propose managerial implications to incease user loyalty and usability.