• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.561-568
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• 2022

The purpose of this study is to explore the narrative of VR disaster and safety Education introduced by disaster film narrative. VR(Virtual Reality) is be suitable technology for disaster and safety Education due to media characteristics as 'immersion', 'presence', 'interactivity', 'pleasure'. Disaster film narrative is able to be worth VR disaster and safety education as a variety of stories and educational effect. For this study, examine a theoretical study and a visiting research of 'Busan 119 Safety & Experience Center'. This study concludes that Firstly need to introduce catharsis effect, Secondly, build 'interactive narratives' that ensure active participation of users, Thirdly, introduce an 'adventure game' narrative element, Fourthly, introduce a hero-shaped narrative in which the user becomes a one-man hero, And lastly, need education as use user's multiple access and group experience learning. Therefore, This thesis is of academic value in that it suggest a desirable new direction of narrative in VR disaster and safety education.

• Journal of Korean Academy of Nursing
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• v.35 no.2
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• pp.407-418
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• 2005

Some fifty survivors participated in the narrative therapy sessions from March 2003 to December 2004, and thirty cases were analyzed using the transcripts. Each participant's surviving story was summarized, and then interpreted and reinterpreted by the survivors themselves in collaboration with the researcher. The two main principles in narrative analysis were hermeneutical distanciation and hermeneutical circulation. Result and Conclusion: First, nursing involvement should play active roles from the early stages of disaster incidents. Specifically, emergency nursing and flexible coping plans are to be available according to the specific properties of each case. Secondly, it is necessary to try to understand the extreme emotional experiences of disaster survival. The horror and pain people feel at an incident cannot simply be generalized, and it requires that each case be approached individually to help stop social alienation. Thirdly, more constant and long-term studies are required to set up nursing strategies for disaster survivors. Forming a trusting relationship with survivors is basic, and formally registering as participants is necessary for continuous interventions. Fourthly, we should deeply appreciate the danger and complexity of modern society and understand the complex nature of disaster. Fifthly, interdisciplinary activities and studies are necessary in combination with various other fields to establish a framework of total nursing care for disaster incidents. Lastly, it is urgently necessary to educate families and friends of the survivors and the society as a whole about life after a disaster.

• Proceedings of the Korea Contents Association Conference
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• 2016.05a
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• pp.251-252
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• 2016

The vast majority of the disaster prevention design research in Korea has focused on the macro-level interventions such as examining the existing systems and approaches, instituting revised policies, systematically establishing intervention programs, and evaluating the effectiveness of the interventions. However, little has focused on systematically challenging individuals' awareness using micro-level intervention. The present paper introduces approaches to micro-level intervention by infusing narrative-based simulation, and further suggests the implications on balancing the approaches of both micro-level and macro-level interventions.

• Journal of Popular Narrative
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• v.26 no.2
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• pp.39-85
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• 2020

This paper examines the aspects of disaster narrative, which makes the most of the concept of 'masterplot' as a narrative simulation to solve problems. By analyzing and comparing the remnants of 'masterplots' operating in the disaster narratives of Korea, the United States, and Japan, the differences between each country and social community problem recognition and resolution will be discussed. Disaster narrative is the most suitable genre for applying the 'masterplot' toward community problem solving in today's global risk society, and the problem-solving method has cognitive differences for each community. First, in the case of American disaster narratives, civilian experts' response to natural disasters tracks the changes of heroes in today's 'Marvel Comic Universe' (MCU). Compared to the past, the close relationship between heroism and nationalism has been reduced, but the state remains functional even if it is bolstered by the heroes' voluntary cooperation and reflection ability. On the other hand, in Korea's disaster narratives, the disappearance of the country and paralysis of the function are foregrounded. In order to fill the void, a new family narrative occurs, consisting of a righteous army or people abandoned by the state. Korea's disaster narratives are sensitive to changes after the disaster, and the nation's recovery never returns to normal after the disaster. Finally, Japan's disaster narratives are defensive and neurotic. A fully state-led bureaucratic system depicts an obsessive nationalism that seeks to control all disasters, or even counteracts anti-heroic individuals who reject voluntary sacrifices and even abandon disaster conditions This paper was able to diagnose the impact and value of a 'masterplot' today by comparing a series of 'masterplots' and their variations and uses. In a time when the understanding and utilization of 'masterplots' are becoming more and more important in today's world where Over-the top(OTT) services are being provided worldwide, this paper attempt could be a fragmentary model for the distribution and sharing of global stories.

• Korean journal of communication and information
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• v.20
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• pp.57-109
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• 2003

The purpose of this study was to investigate narrative structure and meaning structure of pictures In TV reporting. TV reporting consists of linguistic representation and pictural representation with which implicate specific meanings. In the past, the latter has been considered as a kind of added material to the former. But, todays, the latter has been considered more important than the latter in implicating specific meanings. Therefore, the author analysed pictures of TV reporting. Specifically, he selected KBS TV news coverage on '9 11 Disaster of U.S.' with various semiological research methods. Through this study, firstly, It was found that the pictural representation was organized with specific narrative structure applied for linguistic representation. Secondly, its meaning was more important than one of linguistic representation. Thirdly, its styles and structures tended to confine range, abstract and limitation of meanings presented by linguistic representation. Fourthly, images of the pictural representation could be interpreted with narrative structures of linguistic representation.

• Journal of Preventive Medicine and Public Health
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• v.56 no.4
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• pp.390-391
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• 2023

• Journal of Preventive Medicine and Public Health
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• v.56 no.4
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• pp.388-389
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• 2023

• Journal of the Korean Society of Safety
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• v.36 no.1
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• pp.56-63
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• 2021

The narrative texts of industrial accident reports help to identify accident risk factors. They relate the accident triggers to the sequence of events and the outcomes of an accident. Particularly, a set of related keywords in the context of the narrative can represent how the accident proceeded. Previous studies on text analytics for structuring accident reports have been limited to extracting individual keywords without context. We proposed a context-based analysis using a Natural Language Processing (NLP) algorithm to remedy this shortcoming. This study aims to apply Word2Vec of the NLP algorithm to extract adjacent keywords, known as word embedding, conducted by the neural network algorithm based on supervised learning. During processing, Word2Vec is conducted by adjacent keywords in narrative texts as inputs to achieve its supervised learning; keyword weights emerge as the vectors representing the degree of neighboring among keywords. Similar keyword weights mean that the keywords are closely arranged within sentences in the narrative text. Consequently, a set of keywords that have similar weights presents similar accidents. We extracted ten accident processes containing related keywords and used them to understand the risk factors determining how an accident proceeds. This information helps identify how a checklist for an accident report should be structured.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.591-604
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• 2019

This study examines the process of internalization and elaboration of the logic of competition in the post-IMF era through the genealogy of the survival program. Post-IMF is based on disaster reality, which reveals a specific emotional structure related to the competition, if the narrative of overcoming the IMF event finds narrative models that can be sufficiently reconciled between communityism and individual success. This study also examines the process of disaster preparedness through survival form and narrative structure embedded in such form. Thus, this study reconstructed the diachronic change to track the change of the survival program and the subsequent narrative change. Relative to the time of the healing-mentor, the survival program seems to be declining, but rather seems to have created a new transition through the logic of self-development contained in the healing-mentoring discourse. this logic leads to be ghettoized hierarchy of preferences. Now, the survival program is to perform fantastic surrogate satisfaction by delegating competition to a narrow self-directed area rather than to a big empathy within the community.

• Journal of the Korean Society of Safety
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• v.33 no.6
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• pp.77-84
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• 2018

Report documents of industrial and occupational accidents have continuously been accumulated in private and public institutes. Amongst others, information on narrative-texts of accidents such as accident processes and risk factors contained in disaster report documents is gaining the useful value for accident analysis. Despite this increasingly potential value of analysis of text information, scientific and algorithmic text analytics for safety management has not been carried out yet. Thus, this study aims to develop data processing and visualization techniques that provide a systematic and structural view of text information contained in a disaster report document so that safety managers can effectively analyze accident risk factors. To this end, the risk factor map using text mining and self-organizing map is developed. Text mining is firstly used to extract risk keywords from disaster report documents and then, the Self-Organizing Map (SOM) algorithm is conducted to visualize the risk factor map based on the similarity of disaster report documents. As a result, it is expected that fruitful text information buried in a myriad of disaster report documents is analyzed, providing risk factors to safety managers.