• Journal of Korea Game Society
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• v.13 no.4
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• pp.5-14
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• 2013

This study is aimed at comparing and analyzing the response of playfulness level by personality type of players, according to the observations and results of behavior shown in SNG (Social Network Game) players during their play, in particular based on social behavior of SNG players. For this, the behavior of SNG players is classified into SC (Social Connectedness) and NC (Non-Social Connectedness) by space where they play games and the relations between behavior of each SNG player and their playfulness are confirmed by empirical experiment based on big-five personality traits possible standards of disposition expected from players. The results are presented that the playfulness for behavior of SNG players has distinct features by personality types and there is a significant difference between personality types for SC behavior. It could be useful for determining the proportion of playing behavior for Social Connect, generally known as one of main sources SNG provides when designing SNG play and considering personality types of players.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.05a
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• pp.317-321
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• 2006

게임의 재미요소를 증대 시키고, 게임 생명주기(Life-Cycle)를 늘어나게 하기 위해 다양한 방법이 연구 중이다. 현실감 있는 그래픽 효과와 뛰어난 음향 효과 등과 함께 게임 플레이어의 게임 스타일이 반영된 게임을 만들기 위한 방법이 대표적이 예라 할 수 있다. 그 중 게임 플레이어의 스타일을 게임에 다시 이용하기 위해서는 플레이어의 인지과정이 요구되며, 인지된 결과를 이용하여 플레이어를 모델링(User Modeling)한다. 하지만, 게임의 종류와 특성에 따라 다양한 게임이 존재하기 때문에 플레이어를 모델링하기 어렵다는 문제를 가지고 있다. 본 논문에서는 게임에서 정의된 FSM(Finite State machine)을 이용하여 플레이어가 선택한 행동 패턴을 분석하고 적용하는 방법과 다양한 게임에서 이용 할 수 있는 스크립트 형태의 NPC 행동 패턴 변경 방법을 제안한다. 플레이어의 데이터를 분석하여 얻은 결과는 FSM을 변경하여 새로운 행동을 보이는 NPC(Non-Player Characters)를 생성하는데 사용되며, 이 캐릭터는 게임의 특성과 플레이어의 최신 행동 패턴 경향을 학습한 적용형 NPC라 할 수 있다. 실험을 통하여 사용자의 행동과 유사한 패턴을 보이는 NPC의 생성을 확인할 수 있었으며, 게임에서 상대적인 또는 적대적인 캐릭터로 유용하게 사용 될 수 있다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.04a
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• pp.345-348
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• 2004

플레이어의 상대 역할을 수행하는 NPC(Non-Player Character)의 구현은 게임에서 재미요소를 좌우하는 중요한 부분이다. 일반적인 NPC는 설정된 값에 따라, 동일한 조건에 대해 동일하게 반응하므로 플레이어로 하여금 예측 가능하게 하여 게임의 재미를 저하시키는 요인이 된다. 따라서 플레이어의 행동과 수준에 대하여 지능적으로 적절히 반응하는 NPC 기술이 필요하다. 본 논문은 퍼지 플러스터링을 이용한 플레이어의 게임 성향을 기반으로 NPC의 행동 반응을 조절함으로써 게임에 동적인 반응을 보이며 플레이어의 수준에 적절히 반응하도록 하는 NPC 기법을 제안한다.

• Journal of Korea Game Society
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• v.12 no.3
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• pp.3-10
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• 2012

Social network game induces to continue participation among the players through asynchronous connection mode. This characteristic of SNG that is required active social connectedness and that is the main purpose of SNG. The player's behavior attributes related with social connectedness can be divided by the environmental conception. In this paper, the player's behavior is divided into two types : Social Connectedness(SC) and Non-Social Connectedness(NC). Each type is categorized in specific actions of players that is explored. Also, experimental data collected from player's playing-game is analyzed in the comparison of each behavior and the relation of playfulness. Those results have suggested the scope for designing a appliable model on SNG development and represented the guideline to verify speedy the massive player's behavior through simplifying the player's behavior derived in SNG play experiences.

• 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.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.05a
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• pp.305-308
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• 2003

요즘 사람들이 많이 즐기는 전략 게임은 전략 시뮬레이션이라는 말이 무색할 정도로 장르가 가지는 특성 을 이행하지 못하고 있다. 그래서 게이머들은 별다른 전략 없이 쉽게 컴퓨터를 상대로 쉽게 게임을 승리 할 수 있게 됐다. 이것은 게임의 재미를 크게 반감시키는 한 요인이 된다. 전략 게임의 컴퓨터 플레이어에게 상황 판단과 학습 능력을 갖게 하면, 게이머가 보다 재미있게 컴퓨터와 대전을 할 수 있다. 본 논문에서는 인공지능을 가지는 컴퓨터 플레이어에 사용될 Default 추론 엔진과 컴퓨터 플레이어의 작전과 행동을 결정하기 위한 action & strategy generator 시스템을 연구한다. Default 추론 엔진은 귀납적 학습방법을 통 해서 컴퓨터 플레이어가 추론 및 학습을 할 수 있는 정보를 생성하게 된다. 이렇게 생성된 정보를 바탕으로 컴퓨터 캐릭터의 행동과 전략을 결정한다. 이에 본 논문에서는 전략 게임에 인공 지능으로 machine leaning 기법 중의 하나인 decision Tree 틀 사용하였다. decision Tree를 적용하여 기존 컴퓨터 플레이어의 행위와 어떻게 다른지 차별성을 밝혀내고, 컴퓨터 플레이어가 향상된 전략을 구사할 수 있게 하는 것이 주된 목표다.

• Journal of Korea Game Society
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• v.10 no.4
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• pp.15-22
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• 2010

The purpose of this research is to analyze players' emotion pattern for conducting a quest in Role Playing Game(RPG). We have rebuilt up the action and content of gameplay related to category to set up five action classes of game players based on the literature review about the human behavior classification. Moreover, Mabinogi game includes the composition of various quests by story-centered expanse. We classified the quest structure of the tutorial mode, initial state, of its game into the cognitive action. We build the model of the correlation between cognitive behavior patterns of gameplay and emotions derived from targeting ten novices. The result of this research reveals that gameplayers' stimulus levels are identified to emotion pattern. It is enable to grope to concrete the design of the quest and the level in a specified state. Moreover, players' emotion variation is indicated to the type of expression of fun elements. We expect to use a device to induce the curiousness and the challenge for conducting the higher goal of game in the whole.

• 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.

• Journal of Korea Multimedia Society
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• v.11 no.9
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• pp.1258-1266
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• 2008

Most game players obtain more satisfactions by interacting with human players that have fluxed behavior patterns, than with NPC(Non-Player Character)s that have fixed behavior patterns. Since it is impossible that game players always interact with human players, adaptive NPCs that can variously behave are required. In this paper, we present a method to create adaptive NPCs using a dynamic FSM(Finite State Machine). This method configures a dynamic FSM by using behavior information at behavior database, and repeatedly updates the dynamic FSM so that the dynamic FSM's total efficiency approaches to a given target efficiency. NPC adapts to game players through this process. For an experiment, we have implemented a 2D game with this strategy, and experimented with various target efficiencies. We show that a dynamic FSM's total efficiency approaches to target efficiency by updating a dynamic FSM several times over. It means that the adaptive NPC to be generated, adapts to game players.

• Journal of the Korea Society of Computer and Information
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• v.10 no.1 s.33
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• pp.133-140
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• 2005

If a Player car precedes from start to the end or a fuzzy car wins every day during computer or racing games, most players will lose their interest in the games soon after several times. In order to solve this Problem and increase amusement at racing games, the more important thing than anything else is decide the ranking. In this thesis, in order to give amusement In racing games, the researcher made a fuzzy car and made it race with player cars. Because the preceding fuzzy car runs ahead of player cars, it can recognize their behaviors according to change of following player cars' speed and distance, and the fuzzy car changes its memory, but doesn't enforce actual behaviors. If the fuzzy car would make decision, it has to do behaviors to compete the ranking on the basis of the contracts it has memorized under the situation where a timer is awarded. In addition, although an accompanying fuzzy car has different contents of memory, it is operated in the same way as mentioned above. At the time of experiments, the researcher applied the actual value to the test program and drew result for ranking competition. In conclusion, the researcher could confirm that we can have modeling of various behaviors by means of the method using fuzzy logic rather than simple if-then method.