• Journal of Digital Convergence
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• v.16 no.10
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• pp.427-436
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• 2018

Companies are now using SNS as an online marketing channel and increasingly using it for customer relationship management(CRM). Although companies are actively using social media for marketing, language study brands in South Korea are using social media marketing in widely different ways. Among various components of social media marketing activities, this study analyzed the effects of informativeness, content suitability, and recency of social media marketing on consumers from the perspectives of brand equity and purchase intent. In the results, components of social media marketing activities had significant effects on brand equity, in the order of recency, content suitability, and informativeness. Second, brand equity and consumer purchase intent had significant correlation. And having a child also influenced purchase intent. The results of this study can be used as basic data for research on social media marketing of language schools and propose a theoretical direction for future research in the field as there is little academic data related to the subject.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.2
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• pp.242-247
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• 2009

Recently an intelligent system is developed for the service what users want not a passive system which just answered user's request. This intelligent system is used for personalized recommendation system and representative techniques are content-based and collaborative filtering. In this study, we propose a prediction system which is based on the techniques of recommendation system using a collaborative filtering and a fuzzy system to solve the collaborative filtering problems. In order to verify the prediction system, we used the data that is user's rating about movies. We predicted the user's rating using this data. The accuracy of this prediction system is determined by computing the RMSE(root mean square error) of the system's prediction against the actual rating about the each movie and is compared with the existing system. Thus, this prediction system can be applied to base technology of recommendation system and also recommendation of multimedia such as music and books.

• Journal of Digital Contents Society
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• v.13 no.2
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• pp.213-224
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• 2012

Creative writing process begins with memory that contains general experience of the human. In the past creative writing was regarded as exclusive ability of the human. But today, thanks to digital technology digital story creation programs are being developed. This study compares and analyzes the story creation programs, the and the , that imitate a process of interaction between human's long term memory and creative writing. The tried to create probable story by emphasizing character's goal in building case database and retrieving cases. On the other hand, the tried to assist writer's ideation by emphasizing violating motif in building case database and retrieving cases. Hereafter, use of digital media in creating story is expected to accelerate. In this prospect, this study hope to help a development of story creation program in the future.

• Journal of Digital Contents Society
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• v.13 no.2
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• pp.197-203
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• 2012

Although the increase in number of the programs provides rich entertainment to viewers, it also has caused a negative of making it hard for viewers to find out their favorite programs. To address the problem, several researches have been performed mainly focusing on the technologies to analyze a viewer's TV watching-patterns and to recommend a program (or a channel) based on the analysis when a viewer changes channels. The researches, however, have the trouble of frequently failing to choose proper programs because, in the real-world broadcasting circumstance, the programs are re-broadcast over a number of the channels and a set of programs of a genre are usually playing in the overlapped times. To avoid the trouble, the data service, proposed in the paper, allows a viewer to book "explicitly" his/her favorite programs and provides a set of functions of listing up the booked program's broadcasting schedules and reserving viewing or recording the booked programs.

• Journal of Digital Contents Society
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• v.18 no.8
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• pp.1671-1676
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• 2017

In theses days, data has been explosively generated in diverse industrial areas. Accordingly, many industries want to collect and analyze these data to improve their products or services. However, collecting user data can lead to significant personal information leakage. Local differential privacy (LDP) proposed by Google is the state-of-the-art approach that is used to protect individual privacy in the process of data collection. LDP guarantees that the privacy of the user is protected by perturbing the original data at the user's side, but a data collector is still able to obtain population statistics from collected user data. However, the prevention of leakage of personal information through such data perturbation mechanism may cause the significant reduction in the data utilization. Therefore, the degree of data perturbation in LDP should be set properly depending on the data collection and analysis purposes. Thus, in this paper, we develop the simulation tool which aims to help the data collector to properly chose the degree of data perturbation in LDP by providing her/him visualized simulated results with various parameter configurations.

• Journal of Digital Contents Society
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• v.18 no.5
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• pp.849-858
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• 2017

With the fast improvement of software and hardware technology of Virtual Reality, VR(Virtual Reality) film get attention for the new possibility of future film. Already, the production of virtual reality film festivals and Hollywood films is highly active, but it is still poorly related to virtual reality films in Korea. Due to this, this research analyze VR film with Realism films and Post-modernism films in four aspects that are film's frame(Mise-en-$Sc{\grave{e}}ne$), shot(montage), vew point and interactivity to deduct characteristics of VR film. Moreover, we also deduct an esthetical characteristic of VR films beyond the Realism films and Post-modern Films through analysing various VR films. This can be said as 'Digital Realism' that is come from the viewers' positive interaction and realization of Realism through Virtual Reality technology. There will be a successful development of VR film based on this research that analyse suitable directing method for Virtual Reality environment. At last, this research focused on characteristics of digital realism aspect for HMD based first person view VR animation .

• Journal of Digital Contents Society
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• v.19 no.1
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• pp.103-112
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• 2018

In this paper, we propose a method of recognizing emotions using PPG sensor which measures blood flow according to emotion. From the existing PPG signal, we use a method of determining positive emotions and negative emotions in the frequency domain through PSD (Power Spectrum Density). Based on James R. Russell's two-dimensional prototype model, we classify emotions as joy, sadness, irritability, and calmness and examine their association with the magnitude of energy in the frequency domain. It is significant that this study used the same PPG sensor used in wearable devices to measure the top four kinds of emotions in the frequency domain through image experiments. Through the questionnaire, the accuracy, the immersion level according to the individual, the emotional change, and the biofeedback for the image were collected. The proposed method is expected to be various development such as commercial application service using PPG and mobile application prediction service by merging with context information of existing smart phone.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.523-530
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• 2015

This study was tested growth hormone and fatigue materials after eight-week high-intensity interval exercise to middle aged women (40's~50's women) who have been obesity without other disease. Two group of 20 candidates were randomly divided 10 persons as exercise group and control group. Exercise was conducted 8 weeks 4 days 35 minutes, before the study each group was checked vital sign for fatigue materials. It showed the following results. First, it has been increased growth hormone level after exercise program compared each group, significantly. Secondly, it has been decreased fatigue materials due to the high-strength interval workout for 8 weeks compared control as significantly. As a result, eight-week high-intensity interval exercise could be increased growth hormone levels by reducing fatigue and it might be preventing fatigue materials levels. We would suggest that high-strength interval workout for 8 weeks could have a positive effect for preventing and reducing fatigue and related disease, obesity.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.423-430
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• 2013

The development of information technology introduced digital contents and Social Network Services(SNS), and allowed the virtual transaction and communication between users called "the experience knowledge" advanced from "the objective knowledge." This paper will analyze interactive storytelling system creating different types of stories on narrative genre about family history, personal history and so on. Through analysis on narrative interviews, direct observations, documentations and visual records, contents about CEO story, corporate story, family story and especially family history will be categorized into sampleDB and informationDB. Accumulated contents will allow the user to increase the value and usage of the contents through interactive storytelling system by restructuring the contents on family history. This research has developed writing tool data model using different digital contents such as texts, images and pictures to encourage open communications between first generations and third generations in Korea. Furthermore, researched about connected system on interactive storytelling creation device using various genre of family story that has been data based.

• Journal of Digital Contents Society
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• v.4 no.2
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• pp.233-242
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• 2003

A TTS(Text-To-Speech) System is a computer-based system that should be able to read any text aloud. To output a natural voice, we need a general knowledge of language, a lot of time, and effort. Furthermore, the sound pattern of english has a variable pattern, which consists of phonemic and morphological analysis. It is very difficult to maintain consistency of pattern. To handle these problems, we present a system based on phonemic analysis for vowel and consonant. By analyzing phonological variations frequently found in spoken english, we have derived about phonemic contexts that would trigger the multilevel application of the corresponding phonological process, which consists of phonemic and allophonic rules. In conclusion, we have a rule data which consists of phoneme, and a engine which economize in system. The proposed system can use not only communication system, but also utilize office automation and so on.