• The Journal of the Korea Contents Association
• /
• v.8 no.11
• /
• pp.74-84
• /
• 2008

Mobile game is a killer content among the various mobile contents provided by Telecommunication companies. Recently, Location Based Service (LBS) market is growing rapidly and LBS will be a killer content in the near future. As a consequence, mobile game combined with LBS will be a dominant trend of mobile content. However, there exist some limitations on the revitalization of the mobile service market. In this paper, analysis of the restrictions on the mobile service market is performed and then methods for the revitalization of the mobile service market are proposed various billing system is required to reduce network fee for users, a new policy to protect privacy has to be offered, and the infrastructure for high network performance should be developed. The result of this research will provide key role to find a new and more innovative approach to enhance the interaction design of the future Location Based Mobile Games.

• Journal of Korea Game Society
• /
• v.4 no.3
• /
• pp.3-10
• /
• 2004

With 3.6 million user of mobile phone, there has been a rapid develop ment of advanced mobile game taking advantage of various mobile phone functions. Most of all, LBS(location-Based Service) mobile game is expected to make a new mobile game market which is totally different from the previous one. The purpose of this paper, thus, is to review the present condition of LBS mobile game and possibilities. Furthermore, it is also to analyze the facing problems to solve and find the way to promote the LBS mobile game service.

• Journal of Internet Computing and Services
• /
• v.12 no.1
• /
• pp.99-110
• /
• 2011

Mobile environments rapidly changing and digital convergence widely employed, mobile devices including smart phones have been playing a critical role that changes users' lifestyle in the areas of entertainments, businesses and information services. The various services using mobile devices are developing to meet the personal needs of users in the mobile environments. Especially, an LBS (Location-Based Service) is combined with other services and contents such as augmented reality, mobile SNS (Social Network Service), games, and searching, which can provide convenient and useful services to mobile users. In this paper, we design and implement the prototype of mobile personal assistant (PA) agents. Our personal assistant agent helps users do some tasks by hiding the complexity of difficult tasks, performing tasks on behalf of the users, and reflecting the preferences of users. To identify user's preferences and provide personalized services, clustering and classification algorithms of data mining are applied. The clusters of the log data using clustering algorithms are made by measuring the dissimilarity between two objects based on usage patterns. The classification algorithms produce user profiles within each cluster, which make it possible for PA agents to provide users with personalized services and contents. In the experiment, we measured the classification accuracy of user model clustered using clustering algorithms. It turned out that the classification accuracy using our method was increased by 17.42%, compared with that using other clustering algorithms.

• Journal of the Korean Society of Costume
• /
• v.64 no.1
• /
• pp.136-151
• /
• 2014

This study systematically analyzed types of fashion brand application focusing on accounts created in Korea. While referring to 'Chanel' which has developed a fashion brand app for the first time in August of 2008, not only for App store by Apple Inc. of the greatest market share but also for Android market, the one and only competitor of App store, the study examined cases of fashion brand app in Korea and foreign countries which have been in service till August of 2013 since the year of 2008. To achieve the research goal, the study conducted a literature research and a case review, categorizing the app by their distinctive functions which were Basic Information, SNS, AR, LBS, Entertainment, Mobile Shopping and Live Streaming. As for the first function, Basic Information, it was considered to provide information on a brand such as prices, sizes and colors of products which should be the most fundamental function of a fashion brand. The function would include look book, catalogues, photographs and others of products, helping users of the app with their understanding on images and concepts of the brand. Second, SNS function was considered useful for its mobility and communication and with the help of theirs, the users share fashion information with each other. Third, AR function as in a filed of virtual reality would edit virtual objects to look real in an actual environment. This would eventually offer the users a chance to try for clothes virtually. The fourth function, LBS, would work with GPS to find a store closest from a present location. This would be a help when the users try to find stores holding promotion events or trails while hiking in mountains. The fifth Entertainment function would include all sorts of games and chances for the users to listen to music and keep fashion diaries. The sixth function, Mobile Shopping, would help the users purchase items online via the app as they would not visit a store in person. The seventh function, Live Streaming, would give the users chances to actually see fashion collections in real time, held all over the world in every season. Because of this function, not only fashion experts but also regular people have become able to enjoy the fashion shows. The distinctive characteristics of the fashion brand application discussed in the study will be a useful reference when any relevant fields try to design other new fashion brand application.