• Title/Summary/Keyword: game player

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Design and Implementation of Socket-based Multi-player Game Service for Elementary Mathematics Learning (초등 수학 학습을 위한 소켓 기반 멀티플레이형 게임 서비스의 설계 및 구현)

  • Kim, Sung Wan
    • Journal of Service Research and Studies
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    • v.6 no.2
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    • pp.175-184
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    • 2016
  • The educational computer game service, due to its entertainment role, is a very attractive tool for students to raise their interests in learning. Especially mathematics, the most difficult subject for many students, is one of the typical subjects in which the educational computer game service can be efficiently applied. Most of the previous game services is for single or two learners. And learner only have to simply submit a solution for the proposed math expression in the game. In this paper a multi-player game service based on TCP/IP socket programming technique is designed and implemented to join in the game for multiple learners. In addition, we design a game rule to improve learners' number sense by letting them arrange various ways to solve the problem. Finally, using the requirements of educational game service, we evaluate the proposed game service and its usability.

A Single-Player Car Driving Game-based English Vocabulary Learning System (1인용 자동차 주행 게임 기반의 영어 단어 학습 시스템)

  • Kim, Sangchul;Park, Hyogeun
    • Journal of Korea Game Society
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    • v.15 no.2
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    • pp.95-104
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    • 2015
  • Many games for English vocabulary learning, such as hangman, cross puzzle, matching, etc, have been developed which are of board-type or computer game-type. Most of these computer games are adapting strategy-style game plays so that there is a limit on giving the fun, a nature of games, to learners who do not like games of this style. In this paper, a system for memorizing new English words is proposed which is based on a single-player car racing game targeting youths and adults. In the game, the core of our system, a learner drives a car and obtains game points by colliding with English word texts like game items appearing on the track. The learner keeps on viewing English words being exposed on the track while driving, resulting in memorizing those words according to a learning principle stating viewing is memorization. To our experiment, the effect of memorizing English words by our car racing game is good, and the degree of satisfaction with our system as a English vocabulary learning tool is reasonably high. Also, previous word games are suitable for the memory enforcement of English words but our game can be used for the memorization of new words.

Analysis of Emotion Pattern for Game Player on Quest System : Towards of Tutorial Mode in Mabinogi Game (퀘스트 시스템에 대한 게임플레이어의 감정패턴 분석 : 마비노기 Tutorial Mode를 중심으로)

  • Kim, Mi-Jin;Song, Seung-Keun
    • 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.

Ultimate-Game Automatic Trace and Analysis System Using IoT (사물인터넷 기반 얼티미트 경기 자동추적 및 분석 시스템)

  • Lim, Jea Yun
    • KIPS Transactions on Software and Data Engineering
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    • v.11 no.1
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    • pp.59-66
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    • 2022
  • In this paper, by applying IoT technology to the Ultimate game, which is one of the games using Flyingdisc, the process of the game is traced based on the players and the flyingdisc, and a comprehensive relationship analysis between players is performed on the results of the game. A WiFi module with built-in GPS is attached in the players and flyingdisc. The player's ID, latitude/longitude values received from GPS and time are stored in the database in realtime during the game. Process informations of the game is also stored in the database at the same time using mobile Ultimate game App. Based on this informations after the game is over, we developed a system that can perform comprehensive analysis of the game contents. By using the informations stored in the database, the player-based game process and the flyingdisc-based scoring process are visualized in the virtual playground. Various game result informations for players are graphically analyzed using Python.

Prototype of Procedural Quest Generation in Persistent RPG via Non-Player Character (영속적 RPG 게임에서 NPC중심의 창발적 서사 생성 연구)

  • Jeong, Bo-Gyun;Ryu, Eun-Seok;Kang, Sin-Jin
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2014.01a
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    • pp.49-50
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    • 2014
  • 본 논문은 영속적 RPG게임에서 사용자에게 제공되는 퀘스트 유형의 절차적 생성 기법에 대한 연구이다. 영속적 월드(persistent world) 환경은, 게임 사용자를 포함한 다양한 게임 구성 자원간의 상호작용을 통해 서사를 생성하는 가상 월드의 특징을 가지고 있다. 본 실험은 서사의 핵심 자원인 NPC(Non-Player Character) 및 다양한 월드 자원들을 가진 가상의 영속적 월드 하에, NPC들이 창발적인 퀘스트를 지속적으로 생성하도록 하였다. 이를 통해 영속적 가상 월드의 NPC 자원들이 곳곳에서 창발적 퀘스트 유형을 지속적으로 생성하는 것을 확인 할 수 있었다.

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Identification of Auto Programs by Using Decision Tree Learning for MMORPG (MMORPG에서 결정트리 학습을 적용한 자동 프로그램 확인 기법)

  • Hong, Sung-Woo;Kim, Jun-Tae;Kim, Hyung-Il
    • Journal of Korea Multimedia Society
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    • v.9 no.7
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    • pp.927-937
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    • 2006
  • Auto-playing programs are often used in behalf of human players in MMORPG(Massively Multi-player Online Role Playing Game). By playing automatically and continuously, it helps to speed up the game character's level-up process. However, the auto-playing programs, either software or hardware, do harm to games servers in various ways including abuse of resources. In this paper, we propose a way of detecting the auto programs by analyzing the window event sequences produced by the game players. In our proposed method, the event sequences are transformed into a set of attributes, and the Decision Tree learning is applied to classify the data represented by the set of attribute values into human or auto player. The results from experiments with several MMORPG show that the Decision Tree learning with proposed method can identify the auto-playing programs with high accuracy.

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The Impact of Learning Motivation on Continuous Use in the Mobile Game - Focusing on Chinese Mobile Game

  • Chen, Xueying;chang, Byenghee
    • International Journal of Contents
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    • v.16 no.2
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    • pp.78-91
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    • 2020
  • In this study, an investigation was conducted into the influencing factors for the learning motivation of players in the game, including experience, vicarious experience, the need of achievement, the need of power, and mastery motivation. Then, a discussion was conducted regarding the role played by learning motivation, learning performance, and satisfaction with continuous use. A survey was conducted with 519 players, most at the intermediate gaming level in . As demonstrated by the results of this study, experience, vicarious experience, the need of power, and the mastery of motivation have significant positive association with the players' motivation of learning the game. Learning performance and satisfaction have a positive impact on the continuity of use. Additionally, the correlation between the need of achievement and learning motivation is insignificant. Overall, the research results confirm the significance of the social-cognitive theory relative to the learning motivation. Players began to transform, satisfied with their achievements in the game, as well as gradually evolving toward self-improvement to achieve satisfaction. It offers a new explanation and crucial reference for mastering the gaming trend among the contemporary players.

The Evolution of Collaboration in Game Play (게임플레이에서 협력의 진화)

  • Lee, Da-Won;Ryu, Seoung-Ho
    • Journal of Korea Game Society
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    • v.20 no.2
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    • pp.101-112
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    • 2020
  • This study looked into how to carry out sacrifices for intra-game cooperation in becoming a high-level player. The results are as follows. First, the way players behave is dependent on their resources(scores). Second, the higher the player's score, the more praise cards were given to dealers. Third, high-scoring players have taken on a role of "sacrificing the self to serve the many" by voluntarily playing the role of healer, leading the team to set the rules and consequently reducing the risk of a probable role conflict within the team.

Research on the Components of Children's Educational Game Achievement System

  • Shi, Kun;Cho, Dong Min
    • Journal of Korea Multimedia Society
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    • v.24 no.9
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    • pp.1299-1310
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    • 2021
  • Under the background of the rapid development of digital educational games, we have to evidently research the elements of the achievement system of children's DEG (Digital Educational Game), and analyze the relations between the elements and make a profound study on the achievement system and its components on the impact of player's attitude. Compared with the existing research, the research contents and methods are innovative and reliable. The results show that players have a positive attitude towards the DEG achievement system, DEG achievement system has important value and role for educational games. Which is made of five elements: symbol, reward, logic, social interaction, and knowledge. The five elements interact with each other and have a positive impact on players' attitudes. DEG achievement system with five elements will bring players a positive experience. These findings provide a detailed study of the components of the achievement system. With all of these, we can explain the role and relationship of the components, and provide new ideas and empirical evidence for the design and development of children's educational game achievement system. The above findings provide a detailed description of the components of the DEG achievement system, explain the role and value of each component, and the relationships and patterns among the components, it provides a new perspective and empirical evidence for the design and development of the children's system DEG results.

Q Learning MDP Approach to Mitigate Jamming Attack Using Stochastic Game Theory Modelling With WQLA in Cognitive Radio Networks

  • Vimal, S.;Robinson, Y. Harold;Kaliappan, M.;Pasupathi, Subbulakshmi;Suresh, A.
    • Journal of Platform Technology
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    • v.9 no.1
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    • pp.3-14
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    • 2021
  • Cognitive Radio network (CR) is a promising paradigm that helps the unlicensed user (Secondary User) to analyse the spectrum and coordinate the spectrum access to support the creation of common control channel (CCC). The cooperation of secondary users and broadcasting between them is done through transmitting messages in CCC. In case, if the control channels may get jammed and it may directly degrade the network's performance and under such scenario jammers will devastate the control channels. Hopping sequences may be one of the predominant approaches and it may be used to fight against this problem to confront jammer. The jamming attack can be alleviated using one of the game modelling approach and in this proposed scheme stochastic games has been analysed with more single users to provide the flexible control channels against intrusive attacks by mentioning the states of each player, strategies ,actions and players reward. The proposed work uses a modern player action and better strategic view on game theoretic modelling is stochastic game theory has been taken in to consideration and applied to prevent the jamming attack in CR network. The selection of decision is based on Q learning approach to mitigate the jamming nodes using the optimal MDP decision process