• Journal of Korea Game Society
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• v.17 no.6
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• pp.29-38
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• 2017

Predicting the user's reaction to the game at the stage of developing the game is important because it is related to the popularity of the game. In this paper, we propose a system that can collect and analyze game user's biometric information in a non-invasive way. To this end, we developed a mouse with skin conductance, pressure, gyroscope, and accelerometer sensor using Arduino. In order to verify the usefulness of this system, the subject was experimented with playing the first person shooter game with this mouse. We analyzed the gameplay videos recorded during Blizzard's 'OverWatch' and the bio-information collected from various sensors in the mouse.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.262-264
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• 2018

Many of users play Mobil Social Network Games (M-SNG). M-SNGs are played through social network, and typically features multiplayer and asynchronous gameplay mechanics. It is most often implemented as mobile devices with mobile instant messenger app. Kakaotalk provids mobile game platform. The purpose of this study is to find significant factors that have effects on the commitment of M-SNGs. We also conduct multi-group comparison test to study the difference in factors of models between time t and time t1. Time t is October, 2012 and time t1 is April, 2016. This study is to empirically test the research model using data collected from M-SNGs' users. We survey two different groups of time t and time t1 people with the same model. We use structural equation model analysis with AMOS 18.0 and compare two models of different times. This study is to give academicians and practitioners insight about its effects and implications

• Journal of Korea Game Society
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• v.11 no.6
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• pp.149-158
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• 2011

This study investigated the types and characteristics of arcade games that have marked the beginning of the game industry. Arcade game equipment have been largely evolved from 'mechanical arcade game equipment' to 'electro-mechanical arcade game equipment', and to 'video arcade game equipment' In these evolution processes, arcade games have had unique characteristics distinct from other game platforms. These characteristics included the properties of 'space' and 'time', 'original form of gameplay', 'simple interface' and 'performance feasibility.' The recent stagnation of arcade games was due to the fact that the characteristics of arcade games started to lose their unique characteristics since these were also spread to other platform of games.

• Journal of Korea Game Society
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• v.16 no.4
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• pp.35-44
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• 2016

To apply the player's experiences to the design process of the game levels set by the developer, gameplay behavior analysis is needed. The player's behavior which is different by how much he got experiences from the play has generally been studied by one computational approach based on numerical data and the other HCI(human-computer interaction) approach through heuristic analysis. For the analysis of the player's behavior with the level design patterns in FPS(first-person shooter) games, in this paper those methods are used to code 12 main types of action, which in turn is simply categorized into 5 kinds of behavior pattern. Along with it, an optimized visualization is proposed to intuitively compare the flow of behavior pattern with the time of playing game.

• Journal of Information Science Theory and Practice
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• v.5 no.2
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• pp.6-16
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• 2017

Populating information-rich online environments through crowdsourcing is increasingly becoming popular. One approach to motivate participation is via games. That is, a crowdsourcing game offers entertainment while generating useful outputs as byproducts of gameplay. A gap in current research is that actual usage patterns of crowdsourcing games have not been investigated thoroughly. We thus compare content creation patterns in a game for crowdsourcing mobile content against a non-game version. Our analysis of 3,323 contributions in both apps reveal 10 categories including those that conform to the traditional notion of mobile content created to describe locations of interest, and those that are social in nature. We contend that both types of content are potentially useful as they meet different needs. Further, the distribution of categories varied across the apps suggests that games shape behavior differently from non-game-based approaches to crowdsourcing.

• Journal of Korea Game Society
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• v.19 no.2
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• pp.83-94
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• 2019

This paper analyzed the posthuman features of the open-world adventure game. These games represent the player character as Posthuman Subject through the restrictions of information and body. The player explores all of the spaces to perform the quests due to nonlinearity of open-world. The interactions are restricted conflicts and it reveals through gameplay. The experiences as Posthuman Subject allow the player to embody the Hybrid Subjectivity and think about coexistence of human and inhuman.

• Journal of Korea Game Society
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• v.19 no.4
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• pp.27-36
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• 2019

Approaches to find hidden values using various and enormous amount of data are on the rise. As big data processing becomes easier, companies directly collects data generated from users and analyzes as necessary to produce insights. User-based data are utilized to predict patterns of gameplay, in-game symptom, eventually enhancing gaming. Accordingly, in this study, we tried to analyze the gaming strategy and user activity patterns utilizing Battlegrounds in-game data to detect the in-game hack.

• Journal of Korea Game Society
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• v.20 no.6
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• pp.63-74
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• 2020

Recently, research on automating game tests using artificial intelligence agents instead of humans is attracting attention. This paper aims to collect play data from human and artificial intelligence and analyze their similarity as a preliminary study for game balancing automation. At this time, constraints were added at the learning stage in order to create artificial intelligence that can play similar to humans. Play datas obtained 14 people and 60 artificial intelligence by playing Flippy bird games 10 times each. The collected datas compared and analyzed for movement trajectory, action position, and dead position using the cosine similarity method. As a result of the analysis, an artificial intelligence agent with a similarity of 0.9 or more with humans was found.

• Journal of Korea Game Society
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• v.21 no.1
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• pp.125-138
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• 2021

This paper analyzed the body images of the posthuman characters in digital games and the nomadic subjects formed through gameplay. Nomadic Subject is the subject with a complex and non-single identity that appears as a posthuman identity. The player experiences posthuman subject directly in the process of controlling characters. Body images of posthuman characters are categorized into three types that imitate idealized bodies, deform the bodies through articulation, and extend the bodies through equipment. The player builds ethical identity by making choices under the constraints of the game.

• Journal of Korea Game Society
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• v.20 no.6
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• pp.3-12
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• 2020

Player experience study includes the behavior and psychological responses of player to game content. And, it focuses on the player's aesthetic experience for specific game elements rather than comprehensive game experiences. This paper presents the player's aesthetic experience data derived from the gameplay process as a code, and analyzes the aesthetic experience data by player experience level for adventure games. These researching results might complement the limitations of existing game analysis research, and provide practical data which creator could apply at the design stage of game.