• Title/Summary/Keyword: 게임월드

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Development of Social Network Game Engine based on ActionScript (액션 스크립트 기반의 소셜 네트워크 게임엔진의 개발)

  • Woo, Chong-Woo;Kim, Dae-Ryung
    • Journal of Internet Computing and Services
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    • v.13 no.1
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    • pp.125-134
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    • 2012
  • As the social networking service (SNS), Facebook, and Cyworld, is developing, the social network game and social business commerce based on this service is activated. Especially, the Social Network Game (SNG) is getting explosive interests and it becomes popular, because it is small scale and user can enjoy the game among close friends. The market for this game is getting larger every year, but still it has some limitations in developing the game. Especially, the current game engine is aiming for developing online or console game, and there is no exclusive game engine for developing SNG. Therefore, it takes lots of time for developing SNG with this game engine. In this paper, we described a design and development of the game engine optimized for developing SNG, which not only adapts the main characteristics of the previous game engine, but also considers the specific characteristics of the SNG. The engine also supports map for the simulation game that is the most popular game in SNG, and also provides modules and tools for developing character animation easily. The evaluation standard for the performance of the game engine is the output generation speed of image, text and character. And the results showed reasonable output speed for developing the SNG in generation of image, text, and character.

A Case Study on World of Warcraft Storytelling's Positive Emotion-inducing Effects (World of Warcraft의 정서유발스토리텔링 사례연구)

  • Lee, Jae Hong
    • Journal of Korea Game Society
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    • v.15 no.3
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    • pp.97-106
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    • 2015
  • Game is the latest type of Gesamtkunstwerk encompassing humanistic and engineering creativity. Nevertheless, Korea's game industry faces a crisis. The purpose of this study is to consider positive emotion-inducing effects as a way to deal with it. Among others, storytelling of , one of the most representative MMORPG games in the world, was selected for the study on various positive emotion-inducing effects. In the story of , the view of the world, characters and incidents are vital to the game and the study is focused on their emotion-inducing effects among the users based on actual examples. As a result, it was confirmed that the positive emotion-inducing storytelling would provide a possibility to reduce negative sentiment towards games, address crisis Korea's game industry faces, and interact with gamers in a positive direction.

A Study on the Quests of 'Warlords of Draenor' in the Game, World of Warcraft (World of Warcraft '드레노어의 전쟁군주' 퀘스트 연구)

  • Lee, Jae Hong
    • Journal of Korea Game Society
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    • v.16 no.4
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    • pp.105-114
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    • 2016
  • This study analyzed a total of 1,025 quests in the 'Warlords of Draenor' which is the fifth expansion set to the massively multiplayer online role-playing game (MMORPG) World of Warcraft, by dividing them into violent and nonviolent quests. There was a total of 515 nonviolent quests which can be categorized into 46 types and a total of 510 violent quests that can be categorized into 7 types. The balance between violent and nonviolent quests shows that the game makers limited the number of adverse factors that can cause the players to be excessively absorbed in the game while successfully incorporating factors that can have positive effect on game players.

An Implementation of Metaverse Virtual Fitting Technology using a Posture extraction based on Deep Learning. (딥러닝 기반 자세 추출을 통한 메타버스 가상 피팅 기술 구현)

  • Lee, Bum-Ro;Lee, Sang-Won;Shin, Soo-Jin
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.01a
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    • pp.73-76
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    • 2022
  • 본 논문에서는 메타버스 공간에서 패션 아이템 판매에 있어서 필수적이라 할 수 있는 온라인 가상 피팅 기술을 동작 인식 전용 디바이스가 아닌 일반 스마트폰 카메라를 활용하여 구현하는 기술을 제안한다. 가상 피팅 기술을 구현하기 위해서는 딥러닝 기법을 활용하여 입력 영상을 분석하고, 분석 결과를 토대로 인체의 전체 자세를 추정하며, 인체 사이즈의 근사값을 추출하는 과정들이 수행되어야 하는데, 현재의 스마트폰 컴퓨팅 환경은 이를 수행하기에 충분한 연산 성능을 가지지 못한다는 문제점을 가진다. 본 논문에서는 높은 비용이 요구되는 고부하 연산을 클라우드 서버를 통해 수행하는 서버 기반 프레임워크를 도입하여, 낮은 성능의 스마트폰으로도 고성능 연산이 가능한 서비스 구조를 확보하고 이를 통해 휴대성 높은 증강현실 기반의 가상 피팅 기술을 구현한다. 본 논문의 성과를 통해 메타버스 상거래의 활성화와 메타버스 본연의 의미에 충실한 가상 월드 구축에 기여할 것이라 기대한다.

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The Collision Processing Design of an Online Distributed Game Server (온라인 분산게임 서버의 충돌처리 설계)

  • Lee Sung-Ug
    • The Journal of the Korea Contents Association
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    • v.6 no.1
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    • pp.72-79
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    • 2006
  • Recently, a MMORPG(Massively Multi-play Online Role Playing Game) has built distribute server by Seamless world. This paper proposes an efficient collision detection method. DLS is used to dynamically adjust spatial subdivisions in each the boundary regions of distribute server We use an index table to effectively utilize the relationships between in the nodes and can perform the collision detection efficiently by reconstructing nodes of the tree. Also, we maintain the information for the boundary region to efficiently detect the collections and adjust the boundary regions between distributed servers by using DLS. As the DLS uses pointers, the information for each server is not needed and the boundary regions between the distributed servers are efficiently searched. Using node index points, the construction table can be made to find between ray and neighborhood node, In addition, processes for Network traffic reduce because a copy of the boundary regions is not needed when a object moves with realtime.

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Architecture and Path-Finding Behavior of An Intelligent Agent Deploying within 3D Virtual Environment (3차원 가상환경에서 동작하는 지능형 에이전트의 구조와 경로 찾기 행위)

  • Kim, In-Cheol;Lee, Jae-Ho
    • The KIPS Transactions:PartB
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    • v.10B no.1
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    • pp.1-12
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    • 2003
  • In this paper, we Introduce the Unreal Tournament (UT) game and the Gamebots system. The former it a well-known 3D first-person action game and the latter is an intelligent agent research testbed based on UT And then we explain the design and implementation of KGBot, which is an intelligent non-player character deploying effectively within the 3D virtual environment provided by UT and the Gamebots system. KGBot is a bot client within the Gamebots System. KGBot accomplishes its own task to find out and dominate several domination points pro-located on the complex surface map of 3D virtual environment KGBot adopts UM-PRS as its control engine, which is a general BDI agent architecture. KGBot contains a hierarchical knowledge base representing its complex behaviors in multiple layers. In this paper, we explain details of KGBot's Intelligent behaviors, tuck af locating the hidden domination points by exploring the unknown world effectively. constructing a path map by collecting the waypoints and paths distributed over the world, and finding an optimal path to certain destination based on this path graph. Finally we analyze the performance of KGBot exploring strategy and control engine through some experiments on different 3D maps.

An Empirical Approach for Gamer's Cognitive Model on Game Playing Experience : Towards Difference of Gamers' Expertise in World Warcraft Game (게임플레이 경험에 대한 게이머의 인지적 모형에 관한 실증적 접근 : World of Warcraft 게임에서 게이머의 전문성 차이를 중심으로)

  • Song, Seung-Keun
    • Journal of Korea Game Society
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    • v.9 no.3
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    • pp.23-33
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    • 2009
  • This study aims to uncover the gamers' cognitive process during the gameplay and explore the differences between groups in the gamers' playing behavior according to their expertise: experts, intermediate players, and novices. To this end, the empirical experiment was conducted in 'World of Warcraft' game which is a good representative of MMO(Massively Multi-player Online) game currently. Verbal protocol and action protocol collected from the empirical experiment were analyzed according to the gamers' expertise. As a result of this study, we found that the different behavior patterns result from standardizing pattern of their actions for experts and forming the learning curves and the specific patterns of action for intermediate game players and novices. While three functional-actions as a collection action concentrates on the early stage of the game for experts, the novices' behavior pattern dispersedly appeared in all seven functional-action, such as search, combat, three type collections, avoid, and communication in the whole gameplay. This study represents the consistency and the difference derived from the comparison analysis between groups according to the expertise. This study is concluded with key implications to support game design guidelines according to experts, intermediate players, and novices. Consequently, the result of this study provides the basic to the development of MMO content for game novices.

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A study of utilizing key components in game trailer production - Focusing on production case of trailer "Thanatos" - (핵심 구성 요소를 활용한 게임 트레일러 제작에 대한연구 - 게임 트레일러 '타나토스' 제작 사례를 중심으로 -)

  • Jiang, HaiTao;Yun, TaeSoo;Lee, ByungChun;Lee, JeongGi
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.6 no.3
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    • pp.19-31
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    • 2016
  • Game Trailer plays the role of main marketing for promotion of game. Recently, the characteristic can be summarized as storytelling, graphics method, production technology, and game mechanics of 3D Game Trailer. Online game was produced as cinematic trailer in the beginning, but recently, in-game trailer has been produced as machinima production method for users. This method reveals functions, various contents, and graphics related to the game through trailer, and it is useful in giving information and curiosity related to the game. Machinima composes background and characters in a short period of time online due to recent 3D CG methods, and only dubbing needs to be proceeded. This saves production fee and production period, and it also has the advantage of having multi-story. Game trailer Thanatos is a video developed through machinima production method. This paper proposes production process and the importance of the key components of the whole project through the above four aspects to be used in the actual production stage by intuitively apply and analysis.

Spudsville: Designing a Minecraft Game for learning teaching English as a Second Language (스퍼드빌: 제2언어로서의 영어학습을 위한 마인크래프트 게임 설계)

  • Baek, Youngkyun;Kim, Jeongkyoum;Sam, Eisenberg
    • Journal of Convergence for Information Technology
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    • v.12 no.4
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    • pp.143-157
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    • 2022
  • The aim of this study is to design Spudsville, an immersive game environment in Minecraft that can effectively help learners acquire the English language. To create a successful learning experience using Minecraft, the researchers adopted the Agile Model and the Design Thinking approach. The researchers first conducted an analysis through an extensive literature review in order to assess the learners' needs. Afterwards, they designed and developed a Minecraft world based on the data collected during the analysis phase. The researchers learned that implementing constructivist and behaviorist approaches has benefits, even though applying a cognitivist-learning model to Spudsville could have provided the researchers with more insight on how learner processes information. Making these adjustments could improve Spudsville's effectiveness and could potentially help the ways in which gamified learning aids with language acquisition.

Adaptation of Neural Network based Intelligent Characters to Change of Game Environments (신경망 지능 캐릭터의 게임 환경 변화에 대한 적응 방법)

  • Cho Byeong-heon;Jung Sung-hoon;Sung Yeong-rak;Oh Ha-ryoung
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.42 no.3 s.303
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    • pp.17-28
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    • 2005
  • Recently intelligent characters in computer games have been an important element more and more because they continually stimulate gamers' interests. As a typical method for implementing such intelligent characters, neural networks have been used for training action patterns of opponent's characters and game rules. However, some of the game rules can be abruptly changed and action properties of garners in on-line game environments are quite different according to gamers. In this paper, we address how a neural network adapts to those environmental changes. Our adaptation solution includes two components: an individual adaptation mechanism and a group adaptation mechanism. With the individual adaptation algorithm, an intelligent character steadily checks its game score, assesses the environmental change with taking into consideration of the lastly earned scores, and initiates a new learning process when a change is detected. In multi-user games, including massively multiple on-line games, intelligent characters confront diverse opponents that have various action patterns and strategies depending on the gamers controlling the opponents. The group adaptation algorithm controls the birth of intelligent characters to conserve an equilibrium state of a game world by using a genetic algorithm. To show the performance of the proposed schemes, we implement a simple fighting action game and experiment on it with changing game rules and opponent characters' action patterns. The experimental results show that the proposed algorithms are able to make intelligent characters adapt themselves to the change.