• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.333-339
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• 2022

Finding traces of the numerous contexts that exist in our culture surrounding an old-narrative and leading to it's textualization provides a chance to read the story anew. The 'Pieun(避隱)' section of 'Samgukyusa' contains the stories of people who hide from the world and avoid it, as well as the different types of stories by the compiler, the Buddihist monk, Ilyeon. In other words, the compiler has textualized the story. This study aims to attentively analyze the specific story in the 'Pieun' section and read the insights of the compiler on whether to move into the world or hide from the world. Through this analysis, it is apparent that the episode of 'Pieun' does not only illustrate the characters who wish to escape or hide from the world, but it also enables readers to grasp the intention of Ilyeon who deliberately includes the banquet story which is contrary to the meaning of the title. In the 'Pieun', he emphasizes that the behavior of revealing and hiding oneself to and from the world has significant religious and cultural meanings for an individual. The writer, without distinguishing people who move into the world or hide from it, used the Buddhist Dialectictics method to present a different interpretation.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.10-21
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• 2022

In order to improve formal presentation attitudes such as presentation of job interviews and presentation of project results at the company, there are few automated methods other than observation by colleagues or professors. In previous studies, it was reported that the speaker's stable speech and gaze processing affect the delivery power in the presentation. Also, there are studies that show that proper feedback on one's presentation has the effect of increasing the presenter's ability to present. In this paper, considering the positive aspects of correction, we developed a program that intelligently corrects the wrong presentation habits and attitudes of college students through facial analysis of videos and analyzed the proposed program's performance. The proposed program was developed through web-based verification of the use of redundant words and facial recognition and textualization of the presentation contents. To this end, an artificial intelligence model for classification was developed, and after extracting the video object, facial feature points were recognized based on the coordinates. Then, using 4000 facial data, the performance of the algorithm in this paper was compared and analyzed with the case of facial recognition using a Teachable Machine. Use the program to help presenters by correcting their presentation attitude.