• The Journal of the Korea Contents Association
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• v.9 no.1
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• pp.187-196
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• 2009

This paper studied out the prototype and the structure of UGS(User Generated Storytelling) based on social network in "World Of Warcraf" and "Mabinogi" as MMORPG(Massively multiplayer online role-playing game) and started with issues based on SNS(Social Network Service) in Internet. SNS has been supported by storytelling which is made by users to go through the contents in game space as well as by developers. This study drew elements toward social network in game and its new possibility as storytelling applied by communication theories based on social psychology. Today SNS is a major topic in web environment and this issue has influenced the game design and UGC. Under this situation, this study has a significant meaning because it proves that the factors toward social network in MMORPG is analyzed by UGCs.

• Journal of Korea Multimedia Society
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• v.12 no.2
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• pp.313-322
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• 2009

A multi-story can be generated by the interactions of users in the interactive storytelling system. In this paper, I suggest narrative structure and corresponding Storytelling Markup Language and implement the system that processes a story presented using this language. This research will be basis of making an authoring tool for interactive storytelling. It can be used to make a story tool and story presentation tool using text, image, animation with user interaction.

• International journal of advanced smart convergence
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• v.13 no.2
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• pp.142-147
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• 2024

The emergence of programs like Midjourney, particularly known for its text-to-image capability, has significantly impacted design and creative industries. Midjourney continually updates its database and algorithms to enhance user experience, with a focus on character consistency. This paper's examination of the latest V6 version of Midjourney reveals notable advancements in its characteristics and design principles, especially in the realm of character generation. By comparing V6 with its predecessors, this study underscores the significant strides made in ensuring consistent character portrayal across different plots and timelines.Such improvements in AI-driven character consistency are pivotal for storytelling. They ensure coherent and reliable character representation, which is essential for narrative clarity, emotional resonance, and overall effectiveness. This coherence supports a more immersive and engaging storytelling experience, fostering deeper audience connection and enhancing creative expression.The findings of this study encourage further exploration of Midjourney's capabilities for artistic innovation. By leveraging its advanced character consistency, creators can push the boundaries of storytelling, leading to new and exciting developments in the fusion of technology and art.

• Journal of Korea Game Society
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• v.10 no.3
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• pp.15-24
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• 2010

Web-based MMORTS has features that distinguish it from traditional client-based games. First, Web-based MMORTS is represented by the combination of graphics and texts. Second, there is parallax agent which has a player and a base town character. This paper written for the purpose of analyzing the storytelling of web-based MMORTS, and from Innogames selected as the subjects of the study. In view of the results so far achieved, the fact, when the player logs in web-based MMORTS, the player takes the experience after some time which had taken by the AI character instead of the player logged out and User Generated Storytelling created from this process, become known. This paper has a meaning for Web-based virtual world which can juxtaposition with routine tasks and can be linked with other platforms.

• Journal of Korea Multimedia Society
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• v.25 no.4
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• pp.628-639
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• 2022

Starting from the content types of video advertisements produced by social media users, this paper conducts a comparative study on the information and entertainment video advertising effects of the same product, to help video producers achieve better advertising effects when facing different products. Experimental results show that. In Garment, the information is higher than that of entertainment in terms of advertising cognition. In terms of advertising attitude and purchase intention, the entertainment is higher than that of information; in food, the entertainment is higher than that of information in terms of advertising cognition, advertising attitude, and purchase intention; in household items, the entertainment is higher than that of information; in terms of advertising cognition and purchase intention, the information is higher than that of entertainment; in terms of advertising attitude, the entertainment is higher than that of information; in cosmetics, the information is higher than that of entertainment in terms of advertising cognition; in terms of advertising attitude and purchase intention, the entertainment is higher than that of the information; in digital accessories, the information is higher than that of the entertainment in terms of advertising cognition, advertising attitude and purchase intention.

• The Journal of the Korea Contents Association
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• v.10 no.12
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• pp.137-145
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• 2010

Humans are social existences who connect with others and live together. Communication between human has evolved into diverse formats and contents beyond time and space. Social Network Service builds social relationship based on web and its users increase rapidly in a global environment due to the user-friendly web circumstances, easy access and wide-spread supply of the smart phones. One of the aspect that is taking the center of Social Network Service is a Social Game. Social Games are based on web that has simple rules to play in fictional time and space background. This research is to analyze the relationship between social game, Social Network and user behavior through the Social Games Farm Villand Cafe World.This paper, firstly, is going to observe the characteristics of people who participate in the two social games 'Farm Ville' and 'Cafe World'. It, then, attempts to analyze individual and social human desires depicted in the games. In the social games, personal perception is revealed through an image of "possession", while one's social activity is displayed by an image of "consumption."

• Journal of Korea Multimedia Society
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• v.25 no.1
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• pp.103-113
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• 2022

Based on the information framework and regulatory focus theory, this paper verifies the impact on the advertising effect when the matching effect forms between the video advertising content type (Information Type, Entertainment Type) and the information framework (Promotional, Prevention) and the regulatory focus (Promotion Orientation, Prevention Orientation) in social media. In order to verify, after selecting of the experimental subjects and finishing the prior investigation of the experimental operation, four video advertisements and formal experiments were performed. The experimental results showed that first, the content type affects the advertising effect of the video and the information framework; when the information video matches the preventive information framework, it will have a more obvious positive effect on the advertising effect; when the entertainment video matches the promotion information framework, it will have a more obvious positive effect on the advertising effect. Second, with the two matches of video content type and information framework, the entertainment-oriented video has a more obvious positive effect for the information-oriented video audience; the above results enrich user created content research and improve the quality and communication efficiency of video in social media.

• The Journal of the Korea Contents Association
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• v.8 no.1
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• pp.203-211
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• 2008

Due to the advent of presumer and digital production of moving picture, a lot of UCC has been generated by editing the previous moving pictures in various way. It causes a lot of problems on copyright, duplication, and content. In reorganizing the contents, it is necessary to increase productivity and reusability by managing production pipeline systematically through the standardization of moving picture content. For this purpose, we try to develop the moving picture content management system that can manage all kinds of information on the production pipeline, based on SCORM of e-learning by considering production, publication and re-editing. Using the meta-data of content object, user and producer can easily search and reuse the contents. Hence, they can choose the contents object according to their preference and reproduce their own creative UCC by reorganizing and packaging the selected objects. The management of copyright by the unit of scene would solve the problem of copyright. The sequencing technique of SCORM as an interactive storytelling method makes it possible to produce individual contents by user's preference.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.109-122
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• 2014

People are nowadays creating a tremendous amount of data on Social Network Service (SNS). In particular, the incorporation of SNS into mobile devices has resulted in massive amounts of data generation, thereby greatly influencing society. This is an unmatched phenomenon in history, and now we live in the Age of Big Data. SNS Data is defined as a condition of Big Data where the amount of data (volume), data input and output speeds (velocity), and the variety of data types (variety) are satisfied. If someone intends to discover the trend of an issue in SNS Big Data, this information can be used as a new important source for the creation of new values because this information covers the whole of society. In this study, a Twitter Issue Tracking System (TITS) is designed and established to meet the needs of analyzing SNS Big Data. TITS extracts issues from Twitter texts and visualizes them on the web. The proposed system provides the following four functions: (1) Provide the topic keyword set that corresponds to daily ranking; (2) Visualize the daily time series graph of a topic for the duration of a month; (3) Provide the importance of a topic through a treemap based on the score system and frequency; (4) Visualize the daily time-series graph of keywords by searching the keyword; The present study analyzes the Big Data generated by SNS in real time. SNS Big Data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. In addition, such analysis requires the latest big data technology to process rapidly a large amount of real-time data, such as the Hadoop distributed system or NoSQL, which is an alternative to relational database. We built TITS based on Hadoop to optimize the processing of big data because Hadoop is designed to scale up from single node computing to thousands of machines. Furthermore, we use MongoDB, which is classified as a NoSQL database. In addition, MongoDB is an open source platform, document-oriented database that provides high performance, high availability, and automatic scaling. Unlike existing relational database, there are no schema or tables with MongoDB, and its most important goal is that of data accessibility and data processing performance. In the Age of Big Data, the visualization of Big Data is more attractive to the Big Data community because it helps analysts to examine such data easily and clearly. Therefore, TITS uses the d3.js library as a visualization tool. This library is designed for the purpose of creating Data Driven Documents that bind document object model (DOM) and any data; the interaction between data is easy and useful for managing real-time data stream with smooth animation. In addition, TITS uses a bootstrap made of pre-configured plug-in style sheets and JavaScript libraries to build a web system. The TITS Graphical User Interface (GUI) is designed using these libraries, and it is capable of detecting issues on Twitter in an easy and intuitive manner. The proposed work demonstrates the superiority of our issue detection techniques by matching detected issues with corresponding online news articles. The contributions of the present study are threefold. First, we suggest an alternative approach to real-time big data analysis, which has become an extremely important issue. Second, we apply a topic modeling technique that is used in various research areas, including Library and Information Science (LIS). Based on this, we can confirm the utility of storytelling and time series analysis. Third, we develop a web-based system, and make the system available for the real-time discovery of topics. The present study conducted experiments with nearly 150 million tweets in Korea during March 2013.