• 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.

• Journal of Korean Academy of Nursing
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• v.34 no.6
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• pp.994-1003
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• 2004

Purpose: This study was to develop Web-based multimedia content for Physical Examination and Health Assesment. Method: The multimedia content was developed based on Jung's teaching and learning structure plan model, using the following 5 processes: 1) Analysis Stage, 2) Planning Stage, 3) Storyboard Framing and Production Stage, 4) Program Operation Stage, and 5) Final Evaluation Stage. Results: The web based multimedia content consisted of an intro movie, main page and sub pages. On the main page, there were 6 menu bars that consisted of Announcement center, Information of professors, Lecture guide, Cyber lecture, Q&A, and Data centers, and a site map which introduced 15 week lectures. In the operation of web based multimedia content, HTML, JavaScript, Flash, and multimedia technology(Audio and Video) were utilized and the content consisted of text content, interactive content, animation, and audio & video. Consultation with the experts in context, computer engineering, and educational technology was utilized in the development of these processes. Conclusions: Web-based multimedia content is expected to offer individualized and tailored learning opportunities to maximize and facilitate the effectiveness of the teaching and learning process. Therefore, multimedia content should be utilized concurrently with the lecture in the Physical Examination and Health Assesment classes as a vital teaching aid to make up for the weakness of the face-to- face teaching-learning method.

• Journal of Distribution Science
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• v.15 no.4
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• pp.33-40
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• 2017

Purpose - This study aims to examine the analysis of pattern on Arab countries consumers' preferences of the Korean Contents using social media, Facebook since Korean entertainment contents have been distributed in the global marketplace. Then we focus on developing Predictive model using a Data Mining Technique. Research design, data and methodology - In order to understand preference growth of Korean contents in Arabic countries, we- collected data from two popular Facebook pages: 'Korean movies and drama' and 'K-pop'. Then, we adopted a data-driven approach based on Data Mining techniques. Results - It is obvious that the number of likes for K-pop will increase for all North African and Middle Eastern countries, however concerning Korean Movies and Drama except Tunisia it is decreasing for Algeria, Egypt and Morocco. Also, concerning Saudi Arabia and United Arab Emirates, the number of likes will decrease for Korean Movies and Drama which is not the case for Iraq. Conclusions - It is noted in this study that K-contents such as drama, movie and music are sometimes a gateway to a wider interest in Korean culture, food and brands. Moreover, this study gives significant implications for developing predictive model to forecast Korean contents' consumption and preferences.

• Journal of Korea Multimedia Society
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• v.13 no.2
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• pp.341-347
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• 2010

The off-screen space openness of the movies converted a unilateral communication, which films have made audiences understand with, into an interactive communication. When the spectators see a movie, the off-screen space will be able to take out their positivity and induce their deep thinking. They won't accept information of the screen by manual operation but will participate in the narrative stories of the cinemas, thinking about the reality. In the paper, it shows that the motion pictures, which Jean Renoir and Michelangelo Antonioni produced, consist of the expressive forms of the off-screen space as well as a human has the ability sense, feeling, perception and memory associated with interacting between the off-screen space and audiences.

• Hwankyungkyoyuk
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• v.9 no.1
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• pp.30-38
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• 1996

The purpose of this study was to survey on the awareness of teachers and students to mass media as a source for school environmental education. This study was performed with the questionnaire to 179 teachers who participated in certificate in-service training for $\ulcorner$Environment$\lrcorner$subject and to 635 students(primary: 177, middle: 179, high school students: 279). The results derived from this study were as follows: First, most teachers(86.6%) evaluated that mass media's effects on students were high and positive in terms of school environmental education, thus they thought that the application necessity and possibility of mass media for environmental education were so too. Second, many teachers evaluated that more program related with environment had to be produced(57.0%) and disseminated, and information on them had to be apprised teachers to activate school environmental education(44.1%). Third, both teachers(87.1%) and students(70.4%) evaluated that audio-visual media such as television, video, movie was better than others for environmental education because audio-visual media could be more realistic and dynamic(T: 48.0%, S: 41.7%). Fourth, we found that as the result of statistical analysis, students's friendliness. credibility and preference on media were different to school classes. But we could not analize the relationship between factors for the limit of sample.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.6
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• pp.303-308
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• 2014

This paper deals with interface design of a university webzines that to search through an internet portal site Naver. It was obtained the following conclusions. First, university webzines are using a hypertext link to such images, text, movie. Second, it could be seen that mainly been using block grid, the module grid, and a transformed layout of 2 tier grid. Third, Seoul woman's University, Kyungpook National University, and Korea Maritime University's webzines found that layout, color, user-friendly access the structure. Fourth, webzine was used the text or image a link, search function, site map, icon, favorites, quick menus, navigation bars, and rollover menu. Last, university webzines were shown to contribute mere to the enhancement of its value as a promotional medium.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.1
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• pp.96-102
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• 2003

Video copy detection is a complementary approach to watermarking. As opposed to watermarking, which relies on inserting a distinct pattern into the video stream, video copy detection techniques match content-based signatures to detect copies of video. Existing typical content-based copy detection schemes have relied on image matching. This paper proposes two new sequence matching techniques for copy detection and compares the performance with color techniques that is the existing techniques. Motion, intensity and color-based signatures are compared in the context of copy detection. Comparison of experimental results are reported on detecting copies of movie clips.

• The Research Journal of the Costume Culture
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• v.26 no.5
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• pp.777-792
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• 2018

As social media has become a part of daily life, new types of online opinion leaders are emerging, and in turn, changes in traditional fashion leaders and leadership are expected. Considering such changes, this study attempted to reexamine fashion leader types and influence characteristics from the perspective of college students as fashion followers. Students were asked to write an essay identifying their fashion leader and how and why they were influenced by him or her. Sixty essays entitled "My Fashion Leader" were collected and content-analyzed. A total of 78 fashion leaders were identified and categorized into four types including celebrities, social media influencers, friends/family/acquaintances, and people seen on the street in order of frequency. Influence characteristics of the identified fashion leaders included superiority, role model, similarity, and familiarity. Similarity was observed across all types of fashion leaders, while superiority and familiarity were identified for celebrities and friends/family/acquaintances, respectively. The results imply that celebrities, mostly those from the TV, movie, and music industries, are still important as fashion leaders in society regardless of their communication style, while friends/family/acquaintances as opinion leaders within a consumer group are important to provide information, advice, and help. However, social media influencers between the two groups are expanding the influence.

• International Journal of Contents
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• v.16 no.3
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• pp.51-65
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• 2020

Narratives arouse diverse and rich affective responses to recipients, and this is one of the reasons why narratives are universal and popular. Computational studies on narratives have established a formal model or system of the affective response based on the theory in psychology or media research, and have analyzed or generated a narrative that can evoke a specific affective response. In this paper, we propose a new computational model that can detect the affective response expected to appear in the narrative based on the narrative agent's knowledge. First, we designed a narrative representation model that can elaborately express the event structure and the agent's knowledge as well. Additionally, an analysis method was proposed to detect the three affective responses and the related situational information. Then, we validated the model through a case study about an actual movie narrative. Through the case study, we confirmed that the model captures the affective responses of the audience. The proposed model can be effectively used for the narrative analysis and the creation that must consider the affective responses of the recipient.

• Journal of Information Technology Services
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• v.16 no.4
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• pp.197-212
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• 2017

This study aims to investigate factors affecting the intention of continuous use of O2O service by referring new media adoption theory and value-based acceptance model for movie ticketing services. For this study, a questionnaire survey was conducted for users of tickets ticketing service of the cinema online (including mobile) within the last 6 months. A total of 500 copies was collected and 404 copies were analyzed excluding 96 copies because of errors. As a result of the analysis, the ease of use and service ubiquity has a positive effect on perceived functional value and perceived emotional value, and usability has a positive effect on perceived functional value. Compatibility and trialability has a positive effect on both perceived functional value and emotional value. Previous experience has a positive effect on both perceived functional value and perceived emotional value, and inertia has negative effect on perceived functional value. Finally, the perceived emotional value has a positive effect on the intention to continuous use, but perceived functional value appeared to have no significant effect. This study shows a theoretical implication for new technology-based services such O2O. It was suggested to establish a practical marketing strategy and help to activate the O2O service field.