• 인터넷정보학회논문지
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• 제21권1호
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• pp.137-146
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• 2020

정보통신기술(ICT:Information Communication Technology)에서 주요 분야로 주목을 받고 있는 가상현실(VR:Virtual Reality)은 현재 의료, 영화, 건축 등 다양한 분야에서 활용되고 있다. 가상현실은 다양한 분야에 활용되고 있지만, 제작자를 중심으로 콘텐츠가 개발되며, 사용자의 요구를 반영하지 못하여 사용자 인터페이스(UI:User Interface)와 사용자 경험(UX:User Experience)적인 공감대를 형성하지 못하고 있다. 본 연구는 VR콘텐츠 중 가장 큰 비중을 담당하는 VR게임콘텐츠의 소비자 선호도, 속성수준을 파악하고자 컨조인트 분석(Conjoint Analysis)을 통해 VR게임콘텐츠의 소비자의 선호 속성을 살펴보고 집단별 상대적 중요도, 가중치를 도출하고자 하였다. 본 연구는 2019년 5월부터 7월까지 총 3개월간 166개의 설문지를 수집했으며, 이 중 150개(90.4%)를 최종적으로 사용하였다. 통계분석은 SPSS Ver. 25.0을 이용하였으며, 연구의 결과는 VR게임을 선택하데 있어 게임의 장르(42.6%), 참가자(Player) 수(24.0%), 지불용의 가격(20.3%), 게임기획(13.1%)의 순으로 중요한 속성으로 나타났다. 최적의 속성별 조합은 새로운 게임, RPG, 멀티 플레이, 중가(22,000원)으로 도출되었다. 본 연구는 VR 콘텐츠 중 가장 선호도가 높은 VR게임콘텐츠를 사용하는 사용자들의 기대에는 기술을 거론하기에 앞서 VR게임콘텐츠를 통해 즐겁고 새로운 경험을 하고자 하는 요구를 알아보았다. 따라서 VR게임콘텐츠의 소비자행동과 VR게임 콘텐츠 개발 분야 연구에 대한 참고 자료가 될 수 있을 것으로 기대된다.

• Journal of Information Technology Applications and Management
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• 제31권3호
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• pp.93-104
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• 2024

This study conducts an in-depth analysis of user reviews from three leading metaverse platforms - Minecraft, Roblox, and Zepeto - using advanced topic modeling techniques to uncover key factors for business success. By examining a substantial dataset of user feedback, we identified and categorized the main themes and concerns expressed by users. Our analysis revealed that common issues across all platforms include technical functionality problems, user engagement and interest, payment concerns, and connection difficulties. Specifically, Minecraft users highlighted the importance of adventure and creativity, Roblox users expressed significant concerns about security and fraud, and Zepeto users focused heavily on the fairness of the in-game economy. The findings suggest that for metaverse platforms to achieve sustained success, they must prioritize the resolution of technical issues, enhance features that foster user engagement, ensure reliable connectivity, and address platform-specific concerns such as security for Roblox and payment fairness for Zepeto. These insights provide valuable guidance for developers and business strategists, emphasizing the need for robust technical infrastructure, engaging and diverse content, seamless user access, and transparent and fair economic systems. By addressing these key areas, metaverse platforms can improve user satisfaction, build a loyal user base, and secure long-term success in an increasingly competitive market.

• Journal of Communications and Networks
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• 제14권6호
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• pp.662-671
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• 2012

Plug-in hybrid electric vehicles (PHEVs) will be widely used in future transportation systems to reduce oil fuel consumption. Therefore, the electrical energy demand will be increased due to the charging of a large number of vehicles. Without intelligent control strategies, the charging process can easily overload the electricity grid at peak hours. In this paper, we consider a smart charging and discharging process for multiple PHEVs in a building's garage to optimize the energy consumption profile of the building. We formulate a centralized optimization problem in which the building controller or planner aims to minimize the square Euclidean distance between the instantaneous energy demand and the average demand of the building by controlling the charging and discharging schedules of PHEVs (or 'users'). The PHEVs' batteries will be charged during low-demand periods and discharged during high-demand periods in order to reduce the peak load of the building. In a decentralized system, we design an energy cost-sharing model and apply a non-cooperative approach to formulate an energy charging and discharging scheduling game, in which the players are the users, their strategies are the battery charging and discharging schedules, and the utility function of each user is defined as the negative total energy payment to the building. Based on the game theory setup, we also propose a distributed algorithm in which each PHEV independently selects its best strategy to maximize the utility function. The PHEVs update the building planner with their energy charging and discharging schedules. We also show that the PHEV owners will have an incentive to participate in the energy charging and discharging game. Simulation results verify that the proposed distributed algorithm will minimize the peak load and the total energy cost simultaneously.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권11호
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• pp.4291-4310
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• 2015

This paper investigates the traffic offloading over unlicensed bands for two-tier multi-mode small cell networks. We formulate this problem as a Stackelberg game and apply a hierarchical learning framework to jointly maximize the utilities of both macro base station (MBS) and small base stations (SBSs). During the learning process, the MBS behaves as a leader and the SBSs are followers. A pricing mechanism is adopt by MBS and the price information is broadcasted to all SBSs by MBS firstly, then each SBS competes with other SBSs and takes its best response strategies to appropriately allocate the traffic load in licensed and unlicensed band in the sequel, taking the traffic flow payment charged by MBS into consideration. Then, we present a hierarchical Q-learning algorithm (HQL) to discover the Stackelberg equilibrium. Additionally, if some extra information can be obtained via feedback, we propose an improved hierarchical Q-learning algorithm (IHQL) to speed up the SBSs' learning process. Last but not the least, the convergence performance of the proposed two algorithms is analyzed. Numerical experiments are presented to validate the proposed schemes and show the effectiveness.

• 아태비즈니스연구
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• 제9권4호
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• pp.49-65
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• 2018

This paper illustrates the competition between the mobile pay and credit card systems by utilizing the theory of two-sided markets. Two firms, as platforms, maximize the profit collecting fees from consumers on one side and from retailers on the other side. Consumers pay to buy goods and services with mobile pay, credit card, or cash. The basic model is one that each platform maximizes its profit. We show that the fees for credit card holders and retailers are higher than the respective costs. The fee for retailers of the mobile payment is higher than its cost, while the buyer's fee may be higher or lower than its cost. Applied model is the one that employs the delegation game model. The total profit of the mobile pay system is composed of its profit and the weighted demand for the mobile pay. It is shown that buyers' fee under the applied model is lower than that under the basic model, resulting in an increase of the demand for the mobile pay. The fee for the retailers rises, albeit the sum of fees for the buyers and retailers falls. The profit for the mobile pay system is increased, while that for the credit card company stays the same.

• 한국IT서비스학회지
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• 제20권2호
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• pp.77-90
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• 2021

Online and mobile games represent digital entertainment. Not only the game grows fast, but also it has been noted for unique business models such as a subscription revenue model and free-to-play with partial payment. But, a recent revenue mechanism, called a loot-box system, has been criticized due to overspending, weak protection to teenagers, and more over gambling-like features. Policy makers and research communities have counted on expert opinions, review boards, and temporal survey studies to build countermeasures to minimize negative effects of online and mobile games. In this process, speed was not seriously considered. In this study, we attempt to use a big data source to find a way of observing a trend for policy makers and researchers. Specifically, we tried to apply the Word2Vec data mining algorithm to news repositories. From the findings, we acknowledged that the suggested design would be effective in lightening issues timely and precisely. This study contributes to digital entertainment service communities by providing a practical method to follow up trends; thus, helping practitioners have concrete grounds for balancing public concerns and business purposes.

• 한국콘텐츠학회논문지
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• 제18권11호
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• pp.327-337
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• 2018

한국형 수집 RPG는 스마트폰이라는 새로운 환경에서 발전한 독특한 RPG의 하위 장르다. 일본 CCG를 뿌리로 두지만, MMORPG 개발의 경험적 요소와 특화된 개발력을 바탕으로 액션성을 더해 자신만의 색깔을 갖출 수 있었다. 장르가 등장한 이후 많은 게임들이 출시되고, 놀라운 성공을 거두기도 했다. 이런 성공은 국내에만 한정된 것이 아니라 해외로까지 뻗어가고 있다. 본 연구는 이런 한국형 수집 RPG의 등장 과정과 성공의 이유를 찾아보고, 이 중 대표적인 게임으로서 국내에서 큰 성공을 거두었던 "세븐나이츠", 세계적으로 큰 성공을 거둔 "서머너즈워"를 분석하고자 한다. 이를 통해 한국형 수집 RPG가 가지는 세계적 경쟁력을 확인하고, 예상되는 위험 요소를 살펴봄으로써 한국 스마트폰 게임 산업의 경쟁력 제고에 기여하고자 한다.

• 한국조사연구학회지:조사연구
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• 제4권2호
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• pp.63-86
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• 2003

본 연구의 목적은 서울과 그 인근 지역에서 수돗물의 질을 끌이지 않고도 마실 수 있는 수준으로 개선한다는 가정 아래 이에 대 한 지불의사액을 결정하고자 할 때 가상상황 가치평가 기법의 입찰게임에서 출발점 편의의 존재 여부를 검정하는 것이다. 모든 가상상황 가치평가 기법 가운데 입찰게임이 가장 정상가격을 얻는 데 가깝기 때문에 지불의사액(WTP)을 절정하기 위하며 3가지(저$.$중$.$고)의 서로 다른 입찰값의 출발점 그룹을 사용하였다. 응답자들은 출발점에 무작위적으로 배정되었고 사전 검사된 면접설문지를 사용하였다. 출발점 편의의 증거를 밝히기 위하여 비모수적 검정과 로짓(Logit)모델을 사용하였다. 본 연구에서는 높은 출발점 집단에서는 높은 지불의사액을, 낮은 집단에서는 낮은 지불의사액을 나타내었으며 이것은 출발점 편의의 존재를 확인하는 것이다. 출발점 편의의 문제는 지불카드나 입찰게임 없이 응답자에게 최대 지불의사액을 직접 질문함으로써 회피할 수 있다. 그러나 이러한 질문은 대답하기에 아주 어렵고, 무응답을 증가시키며 비현실적인 것이 될 수 있다.

• 대한가정학회지
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• 제45권8호
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• pp.105-126
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• 2007

The aims of this study were to examine the actual conditions surrounding the purchasing of online game items and Internet cyberspace items by adolescents the propensity of adolescents to consume these items, to determine the difference in the propensity for high and low consumption of these items among adolescents, and to investigate the characteristics of the adolescents who show a high propensity for the consumption of Internet items. The data for this study were collected from 483 adolescent consumers who were middle school and high school students in the city of Bucheon in Gyeonggi Province. The statistical methods used for the data analysis included frequency, percentage, standard deviation, t-test, and one-way ANOVA. The results of the present study can be summarized as follows. The majority(79.5%) of the students surveyed had had the experience of purchasing items. Most students(67.5%) had a rare frequency of buying ($1{\sim}2$ times in a period of 6 months or less). Nearly half (47.9%) of the students spent less than 1000 won per month on the item(s) purchased. Most of the students purchased items with their parents' permission, but 26.6% of the students bought the items without their parents' permission. Most of the characteristics of the items purchased, such as the major item purchased, payment method, amount purchased per month, average amount spent per buying experience, and whether or not they had their parents' permission differed according to gender, grade level, record, and monthly allowance. The level of propensity to consume the items was not high. The propensity of imitation consumption (1.96) was lower than that of impulsive consumption (2.38) and conspicuous consumption (2.45). Most of the buying characteristics, including the major item purchased, payment method, amount purchased per month, average amount spent per buying experience, parents' permission, grade level, and monthly allowance were different between the high and low propensity for consumption groups.

• Journal of Communications and Networks
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• 제11권4호
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• pp.359-367
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• 2009

Trust-based solutions provide some form of payment to peers to encourage good behavior. The problem with trust management systems is that they require prior knowledge to work. In other words, peers are vulnerable to attack if they do not have knowledge or correct knowledge of other peers in a trust management system. Therefore, considering only trust is inadequate when a decision is made to identify the best set of peers to utilize. In order to solve the problem, we propose a distributed decision-making mechanism for wireless peer-to-peer (P2P) networks based on game theory and relevant trust mechanisms in which we incorporate the element of trust and risk into a single model. The main idea of our mechanism is to use utility function to express the relationship between benefits and costs of peers, and then make the decision based on expected utility as well as risk attitude in a fully distributed fashion. The unique feature of our mechanism is that it not only helps a peer to select its partners, but also mitigates vulnerabilities in trust-based mechanisms. Through analysis and experiments, we believe our approach is useful for peers to make the decision regarding who to interact with. In addition, it is also a good starting point for exploring tradeoffs among risk, trust and utility.