• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.205-206
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• 2017

Casual games are often have simple rule and easy to play. Like Angry birds, players can sling a bird as a bomb to destroy target. But the film adaption encounters numerous questions. games in pursuit of strong sensed presence, pay attention to experience; film stress the integrity of the story, attaches great importance to plot. However, casual games don't have story and plot. This paper take angry birds as example, analyzes the difficulties and method of adaptation from leisure mobile games to films, summarizes the key successful elements of adaption, such as subdivided the target group, chose an appropriate genre, write a script follow the basic logic and frame of film, set contradiction, complicated the character and still contain key elements of the game, in order to provide new ideas in the future development of integration of game and movie industry.

• Korean Journal of Communication Studies
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• v.22 no.2
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• pp.89-121
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• 2014

In order to suggest a strategy for continuous growth of webtoon, this article examined webtoon usage motivation and tried to make a prediction about culture content products and services connected with webtoon, including intention for viewing movies, based on webtoon; intention for switching to paid webtoon content, and intention for buying webtoon character products. From the point of view of Uses and Gratification Theory intentions for using webtoon and human sociocultural behavior intention are already predicted but with the usefulness of Theory of Planned Behavior Integrated Model this study extended the explanation power of prediction about webtoon related behavioral intention. Results found 5 motivational factors for webtoon usage i.e. 'seeking information', 'entertainment and access availability', 'webtoon genre characteristics', 'influence from a friend or acquaintance', and 'escapism and tension release'. Among them the ones that influenced the intention for viewing movies, based on webtoon, were found to be 'webtoon genre characteristics', 'escapism and tension release' and the 3 variables from Theory of Planned Behavior. 'Seeking information', 'entertainment and access availability', 'webtoon genre characteristics', and all the 3 variables from Theory of Planned Behavior were found to influence the intention for switching to paid webtoon content. The intention for buying webtoon based character products was affected by the motivational factors 'seeking information', 'escapism and tension release' and the behavior and subjective norms variables from Theory of Planned Behavior. Based on the uncommon results from the research several suggestions were made for the continuous growth of webtoon.

• Cartoon and Animation Studies
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• s.33
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• pp.343-361
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• 2013

This paper derives the mutual relationship between film and installation art through specific case studies about the point of the intersection of the two genres. It needs to find the relationship between art painting and photography and the relationship of silent film and the relevance of the work of art in the 1920s. After painting over the installation exploring the relationship of art and through the mise en scene of the film, ie, the screen image of the configuration and deployment, or cinematic work of art for the film can be found in the application of practices. First, in Chapter 2, this study works of art practices through the analysis of film and the interaction between the two genres based practices for secure sex. In Chapter 3 the movie 'Wonderful Life' and installation art work "hand memory" through the analysis of the two cases specifically for the point of intersection analysis. 'Wonderful Life' and 'hand' Remember each subject and conceptual work in terms of 'memory' that it is represented on similar, but, film and installation art genre caused by the difference in the way the media represented by the results of the different forms of otherwise appear. If so, this study film and installation art practices through the comparison of cases to derive mutual relationship by analyzing two cases in detail what each of the different looks at whether any similarity in that.

• Cartoon and Animation Studies
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• s.48
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• pp.217-247
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• 2017

A brand webtoon is the webtoon to be planned for advertising. It can be appealed like a webtoon, so recently it becomes popular as one of brand storytelling contents. This study looked at the fact that the webcomic artists have released webtoons having apparent style as a series for many years in the online portal site have published multiple brand webtoons. And it analyzed the expression, narrative structure, and character being shared between their webtoon and brand webtoons. Through this analysis, we can look a spin-off phenomenon between their webtoon and brand webtoons. The spin-off phenomenon means a making the other stories basis on character or situation of drama, movie, novel and etc that have already published, like a supplementary story. And we can recognize a spin-off phenomenon in these cases that have the same story style what make an emotion like the genre, concept, world concept, expression style, narrative structure or use the same characters. For this study, It analyzed Kwak baek soo's and 5 brand webtoons including on Naver, Kim yang soo's and 3 brand webtoons on Naver, Kim Jin's and 2 brand webtoons on Naver, and Petermon's and 1 brand webtoon on Daum. And It analyzed how the readers have accepted it through making a comparison between number of recommendations and reply of brand webtoon and the original webtoon in the same esason. This research will be helpful for study about brand webtoon storytelling and also webtoon storytelling through analyzing how the expression and narrative structure of webtoon are adapted to brand webtoon and get likability.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.379-384
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• 2022

The year 2021 is a monumental year for the history of Korean cinema that inferiority of the sci-fi genre, by the appearance of two sci-fi blockbuster films- produced by Netflix and produced by TVing-at the same time. Coincidentally, both of movies are sci-fi films which appear post-human such as robot and clone. As can be seen in 『Frankenstein』 story, the progenitor of science fictions, the mankind have imagined beings similar to humen or post-human who are another human being for a long time. deals with the unusual subject matter of a space scavenger and a space janitor, and the main character is a robot that very familiar with human. is the story of a man who lives for a limited life protects and accompanies a clone named Seobok who was created as a test subject. This film deals with the philosophical themes like death and eternal life through the existential concerns of two characters. use Korean Shinpa -Korean specific senimental code-sentiment on narrative, and has the character of a road movie set in Korea's geographical space.

• Journal of Intelligence and Information Systems
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• v.16 no.3
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• pp.147-161
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• 2010

As broadcasting and communication are converged recently, communication is jointed to TV. TV viewing has brought about many changes. The IPTV (Internet Protocol Television) provides information service, movie contents, broadcast, etc. through internet with live programs + VOD (Video on demand) jointed. Using communication network, it becomes an issue of new business. In addition, new technical issues have been created by imaging technology for the service, networking technology without video cuts, security technologies to protect copyright, etc. Through this IPTV network, users can watch their desired programs when they want. However, IPTV has difficulties in search approach, menu approach, or finding programs. Menu approach spends a lot of time in approaching programs desired. Search approach can't be found when title, genre, name of actors, etc. are not known. In addition, inserting letters through remote control have problems. However, the bigger problem is that many times users are not usually ware of the services they use. Thus, to resolve difficulties when selecting VOD service in IPTV, a personalized service is recommended, which enhance users' satisfaction and use your time, efficiently. This paper provides appropriate programs which are fit to individuals not to save time in order to solve IPTV's shortcomings through filtering and recommendation-related system. The proposed recommendation system collects TV program information, the user's preferred program genres and detailed genre, channel, watching program, and information on viewing time based on individual records of watching IPTV. To look for these kinds of similarities, similarities can be compared by using ontology for TV programs. The reason to use these is because the distance of program can be measured by the similarity comparison. TV program ontology we are using is one extracted from TV-Anytime metadata which represents semantic nature. Also, ontology expresses the contents and features in figures. Through world net, vocabulary similarity is determined. All the words described on the programs are expanded into upper and lower classes for word similarity decision. The average of described key words was measured. The criterion of distance calculated ties similar programs through K-medoids dividing method. K-medoids dividing method is a dividing way to divide classified groups into ones with similar characteristics. This K-medoids method sets K-unit representative objects. Here, distance from representative object sets temporary distance and colonize it. Through algorithm, when the initial n-unit objects are tried to be divided into K-units. The optimal object must be found through repeated trials after selecting representative object temporarily. Through this course, similar programs must be colonized. Selecting programs through group analysis, weight should be given to the recommendation. The way to provide weight with recommendation is as the follows. When each group recommends programs, similar programs near representative objects will be recommended to users. The formula to calculate the distance is same as measure similar distance. It will be a basic figure which determines the rankings of recommended programs. Weight is used to calculate the number of watching lists. As the more programs are, the higher weight will be loaded. This is defined as cluster weight. Through this, sub-TV programs which are representative of the groups must be selected. The final TV programs ranks must be determined. However, the group-representative TV programs include errors. Therefore, weights must be added to TV program viewing preference. They must determine the finalranks.Based on this, our customers prefer proposed to recommend contents. So, based on the proposed method this paper suggested, experiment was carried out in controlled environment. Through experiment, the superiority of the proposed method is shown, compared to existing ways.

• Journal of Intelligence and Information Systems
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• v.20 no.4
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• pp.155-169
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• 2014

With the rapid advances in technologies, organizations are more likely to depend on information systems in their decision-making processes. Business Intelligence (BI) systems, in particular, have become a mainstay in dealing with complex problems in an organization, partly because a variety of advanced computational methods from statistics, machine learning, and artificial intelligence can be applied to solve business problems such as demand forecasting. In addition to the ability to analyze past and present trends, these predictive analytics capabilities provide huge value to an organization's ability to respond to change in markets, business risks, and customer trends. While the performance effects of BI system use in organization settings have been studied, it has been little discussed on the use of predictive analytics technologies embedded in BI systems for forecasting tasks. Thus, this study aims to find important factors that can help to take advantage of the benefits of advanced technologies of a BI system. More generally, a BI system can be viewed as an advisor, defined as the one that formulates judgments or recommends alternatives and communicates these to the person in the role of the judge, and the information generated by the BI system as advice that a decision maker (judge) can follow. Thus, we refer to the findings from the advice-giving and advice-taking literature, focusing on the role of explanations of the system in users' advice taking. It has been shown that advice discounting could occur when an advisor's reasoning or evidence justifying the advisor's decision is not available. However, the majority of current BI systems merely provide a number, which may influence decision makers in accepting the advice and inferring the quality of advice. We in this study explore the following key factors that can influence users' advice taking within the setting of a BI system: explanations on how the box-office grosses are predicted, types of advisor, i.e., system (data mining technique) or human-based business advice mechanisms such as prediction markets (aggregated human advice) and human advisors (individual human expert advice), users' evaluations of the provided advice, and individual differences in decision-makers. Each subject performs the following four tasks, by going through a series of display screens on the computer. First, given the information of the given movie such as director and genre, the subjects are asked to predict the opening weekend box office of the movie. Second, in light of the information generated by an advisor, the subjects are asked to adjust their original predictions, if they desire to do so. Third, they are asked to evaluate the value of the given information (e.g., perceived usefulness, trust, satisfaction). Lastly, a short survey is conducted to identify individual differences that may affect advice-taking. The results from the experiment show that subjects are more likely to follow system-generated advice than human advice when the advice is provided with an explanation. When the subjects as system users think the information provided by the system is useful, they are also more likely to take the advice. In addition, individual differences affect advice-taking. The subjects with more expertise on advisors or that tend to agree with others adjust their predictions, following the advice. On the other hand, the subjects with more knowledge on movies are less affected by the advice and their final decisions are close to their original predictions. The advances in predictive analytics of a BI system demonstrate a great potential to support increasingly complex business decisions. This study shows how the designs of a BI system can play a role in influencing users' acceptance of the system-generated advice, and the findings provide valuable insights on how to leverage the advanced predictive analytics of the BI system in an organization's forecasting practices.