• Korean Journal of Adult Nursing
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• v.14 no.3
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• pp.438-448
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• 2002

Purpose: This study is aimed to search the lived experiences of the participants and to analyze the contents so that we can be assured about what the elderly wish and find the appropriate nursing intervention for them in real life. Method: This is based on a phenomenological approach. Participants of this study consist of people older than 65 years old. Data was collected from May to August in 2001. Data collection was done through in-depth interviews and observations. The time used in each interview was from 50 minutes to 2 hours. Each participant was interviewed three to five times. Giorgi's phenomenological analysis was used in data analysis. Result: The elder's wishes are 1) a respected life, 2) a happy life, 3) a peaceful life, 4) a independent life, 5) a financially independent life, 6) a satisfactory life, 7) a mind to depend on someone, 8) a serving life, 9) a historic family, 10) a happy-ending life. Conclusion: The study will contribute for the nursing intervention to enhance the quality of life and successful aging of the elderly.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.561-568
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• 2015

This study aimed to explore process of convergence life experience by horticulture activity of mother of child with disability through qualitative research. The data collection consisted of interview data of two meetings with four participants and transcribed interview data. The collected data analyzed by coding process of conceptualization-subtopic theme-core theme. The result through the phenomenological research of this study appeared as start of connection, care and empathy, understanding about living things, healing, sharing, In conclusion, this study could search the process of relationship building with herself and the world behind her, even though the process of convergence life experience of mother of child with disability started with little connection, as they became to understand the meaning of relationship through care and empathy and sharing.

• Journal of the Korean Society of Costume
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• v.64 no.8
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• pp.1-19
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• 2014

The purpose of this study is to do an in-depth examination of Korean women in their 30's on the characteristics of their online fashion shopping, clothes-wearing, and presentation. In-depth interview and quantitative analysis were conducted as study methods. Results of this in-depth analysis showed that the factor with the most significant influence in their lifestyle was "childbirth." Childbirth was a major factor during fashion shopping and clothes-wearing. Also the results showed that the reason they used online shopping was for convenience, efficiency, rationality, pursuit of information, variety, and hedonism. In particular, women in their 30's had a higher motivation for efficiency and rationality compared to those in their 20's, and of those women, married working women showed the highest preference for fashion soho malls. Meanwhile, full-time homemakers, who pursued rationality, used open markets to search for fashion items based on price. Furthermore, the factors that women in their 30's considered during online shopping were price, design, purpose or situation for wearing the clothing, respectively. Compared to the women in their 20's, they emphasized recommendation, product properties, credibility, economy more than women in their 20's. Factors such as marriage and childbirth were more influential than occupation. Meanwhile, the factors that women in their 30's considered for wearing and presentation were time, place, and occasion(TPO), which all showed high importance in in-depth interview and quantitative analysis. Other factors were 'suitable image to self' and 'covering up body figure.'

• 한국태양에너지학회:학술대회논문집
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• 2009.04a
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• pp.269-276
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• 2009

South Korea having military power within the $10^{th}$ in world ranking is the biggest single institution among public institutions in Korea and comprises force of over seven hundred thousand soldiers. However, outworn equipments and efficiency problem have issued. So, this study is to search the distribution state of new-renewable energy and to analyze application plan on the basis of interview with a official in charge in military. Analysis process is the first, classify surveyed military facilities into troops and the geographical factor. Second, classify a scale and type of facilities that new-renewable energy is supplied. Third, find consideration facts on the basis of interview with a official in charge. On the results of the survey, new-renewable energy applied to the military facility is photovoltaic, solar heat, wind power and geo-thermal energy. Also, divide military into the army, navy, air force and marine, visit 14 units and analyze the official's opinion. This study will deduce LCCA(Life cycle cost analysis) considered expenses for the installation and maintenance, and will be basic research that suggest an appropriate new-renewable energy model in military.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.4
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• pp.1502-1520
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• 2021

This paper attempts to investigate Korean youth Not in Education, Employment and Training (NEET) and how daily activities and community participation may influence their positive emotions and job search desire. First, we conducted a focus group interview with 16 NEETs who participated in the Kakao NEET Company project. The project allowed participants to experience employment by founding a virtual company in which each participant selected a daily activity to perform as part of the company's operations. Second, the interview responses were categorized and assigned emotional values using the card sorting technique and multi-dimensional analysis (MDS). A total of 11 emotional values were derived through this process. Finally, a social network analysis was conducted in order to measure the density of relations among the emotional values. Results suggest that immersion, confidence, belongingness were the three highest values evaluated by participants. Furthermore, network diagrams imply that the stronger participants perceived social support and belongingness with others, the stronger their responsibility grew, further leading them to establish steady goals. In particular, the high eigenvector score for "desire for job" suggests that emotional values are sequentially connected to the immersion-social support-responsibility-goal-job desire. This sequence suggests that digital services that are developed with the aim to enhance social values such as the Kakao NEET Project may engender motivation and confidence in youth NEETs. The overall results suggest that a systematic approach to policymaking should be considered in order to provide fundamental solutions and expand opportunities for social participation and emotional comfort, as social isolation due to low self-esteem has been reported as one of the reasons for NEETs' failure in the labor market.

• Journal of the Ergonomics Society of Korea
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• v.31 no.4
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• pp.515-523
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• 2012

Objective: The aim of this study is to investigate users' intuitive stereotypes on non-touch gestures and establish the gesture dictionary that can be applied to gesture-based interaction designs. Background: Recently, the interaction based on non-touch gestures is emerging as an alternative for natural interactions between human and systems. However, in order for non-touch gestures to become a universe interaction method, the studies on what kinds of gestures are intuitive and effective should be prerequisite. Method: In this study, as applicable domains of non-touch gestures, four devices(i.e. TV, Audio, Computer, Car Navigation) and sixteen basic operations(i.e. power on/off, previous/next page, volume up/down, list up/down, zoom in/out, play, cancel, delete, search, mute, save) were drawn from both focus group interview and survey. Then, a user participatory design was performed. The participants were requested to design three gestures suitable to each operation in the devices, and they evaluated intuitiveness, memorability, convenience, and satisfaction of their derived gestures. Through the participatory design, agreement scores, frequencies and planning times of each distinguished gesture were measured. Results: The derived gestures were not different in terms of four devices. However, diverse but common gestures were derived in terms of kinds of operations. In special, manipulative gestures were suitable for all kinds of operations. On the contrary, semantic or descriptive gestures were proper to one-shot operations like power on/off, play, cancel or search. Conclusion: The touchless gesture dictionary was established by mapping intuitive and valuable gestures onto each operation. Application: The dictionary can be applied to interaction designs based on non-touch gestures. Moreover, it will be used as a basic reference for standardizing non-touch gestures.

• Journal of the Korean Society for information Management
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• v.18 no.1
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• pp.65-84
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• 2001

The purpose of this study was to design and evaluate a metadata system for internet-based syllabi in computer science. The study constructed two prototype systems for the experiment. One was constructed using only Dubline Core (DC) elements and the other was a DC-expanded system with additional eight elements that are not the part of DC elements. The thlrty subjects were chosen from those who majored in Computer Science. Two retrieval tasks were assigned to them. One was to find syllabi in which they are' interested and the other was to find relevant course syllabi for a given course title. After the search, they were asked to evaluate the systems in terms of efficiency, accuracy, and their satisfaction of the system. The result of the first experiment indicates that DC-based system performed significantly better in terms of search time and DC-expanded system in terms of satisfaction measure. An additional experiment was conducted to test efficiency of the browsing categories. The interview with subjects was carried out to find any difficulties associated with the current browsing scheme. The subjects expressed much1 satisfaction about assigning a course to multiple browsing categories.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.257-262
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• 2023

Recently there are increasing number of claims that it is necessary to build a countermeasure in case of aggressive threats by small drones. During Russia-Ukraine war ignited by Russian invasion on February 2022, attacking drones have been being used widely to damage other country's national major facilities. On December 2022, 5 drones sent by North Korea made a flight around Seoul, South Korea about 7 hours, but it was not successful to search and track them. Furthermore, none of these were destroyed and shot down. Counter-drone system is essential system to search and identify unintended small drones and disable them. This paper is for proposing required functions for building a counter-drone system for national major facilities. We conducted focus group interviews with relevant government officials and analyzed their suggestions on how to augment protection capabilities to defend against small drone attacks.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.25 no.1
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• pp.61-84
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• 2014

It is necessary to construct authority records in OPAC to improve the precision and the recall by organizing and connecting information systematically. Especially, the authority records are widely used in the museums, archives, art galleries, etc as well as in the libraries for work collocation and search. But KORMARC-Authority Format (KSX6006-4) could not have been revised and managed consistently reflecting international cataloging trends and revision needs of Korea libraries since it was published in 1999. Resultingly, there are only few libraries that would have constructed the authority records in OPAC in Korea, and OPAC without authority records could deteriorate the search quality. Therefore, this study would suggest the revision of KORMARC-Authority Format by investigating authority related international trends such as ICP, FRAD, RDA, VIAF and analyzing new MARC21-Authority Format applying these authority related trends. The research methods were used such as literature review, the analysis of 5 domestic libraries' authority records and VIAF records, and the group interview with librarians.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.155-175
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• 2017

As social data become into the spotlight, mainstream web search engines provide data indicate how many people searched specific keyword: Web Search Traffic data. Web search traffic information is collection of each crowd that search for specific keyword. In a various area, web search traffic can be used as one of useful variables that represent the attention of common users on specific interests. A lot of studies uses web search traffic data to nowcast or forecast social phenomenon such as epidemic prediction, consumer pattern analysis, product life cycle, financial invest modeling and so on. Also web search traffic data have begun to be applied to predict tourist inbound. Proper demand prediction is needed because tourism is high value-added industry as increasing employment and foreign exchange. Among those tourists, especially Chinese tourists: Youke is continuously growing nowadays, Youke has been largest tourist inbound of Korea tourism for many years and tourism profits per one Youke as well. It is important that research into proper demand prediction approaches of Youke in both public and private sector. Accurate tourism demands prediction is important to efficient decision making in a limited resource. This study suggests improved model that reflects latest issue of society by presented the attention from group of individual. Trip abroad is generally high-involvement activity so that potential tourists likely deep into searching for information about their own trip. Web search traffic data presents tourists' attention in the process of preparation their journey instantaneous and dynamic way. So that this study attempted select key words that potential Chinese tourists likely searched out internet. Baidu-Chinese biggest web search engine that share over 80%- provides users with accessing to web search traffic data. Qualitative interview with potential tourists helps us to understand the information search behavior before a trip and identify the keywords for this study. Selected key words of web search traffic are categorized by how much directly related to "Korean Tourism" in a three levels. Classifying categories helps to find out which keyword can explain Youke inbound demands from close one to far one as distance of category. Web search traffic data of each key words gathered by web crawler developed to crawling web search data onto Baidu Index. Using automatically gathered variable data, linear model is designed by multiple regression analysis for suitable for operational application of decision and policy making because of easiness to explanation about variables' effective relationship. After regression linear models have composed, comparing with model composed traditional variables and model additional input web search traffic data variables to traditional model has conducted by significance and R squared. after comparing performance of models, final model is composed. Final regression model has improved explanation and advantage of real-time immediacy and convenience than traditional model. Furthermore, this study demonstrates system intuitively visualized to general use -Youke Mining solution has several functions of tourist decision making including embed final regression model. Youke Mining solution has algorithm based on data science and well-designed simple interface. In the end this research suggests three significant meanings on theoretical, practical and political aspects. Theoretically, Youke Mining system and the model in this research are the first step on the Youke inbound prediction using interactive and instant variable: web search traffic information represents tourists' attention while prepare their trip. Baidu web search traffic data has more than 80% of web search engine market. Practically, Baidu data could represent attention of the potential tourists who prepare their own tour as real-time. Finally, in political way, designed Chinese tourist demands prediction model based on web search traffic can be used to tourism decision making for efficient managing of resource and optimizing opportunity for successful policy.