• The Research Journal of the Costume Culture
• /
• v.21 no.2
• /
• pp.167-182
• /
• 2013

The purposes of this study were to identify dimensions of shopping orientation and preferences of fashion trade areas, to test differences in the preference factors and usage levels of fashion trade areas as determined by shopping orientation and demographic characteristics. Questionnaires were administered to 406 adults in their twenties and thirties visited major fashion trade area in Seoul. The results of the study were as follows. First, five groups were identified based on shopping orientation: combined value-oriented group, convenience-oriented group, hedonic value trend-oriented group, economic-value oriented group and brand-oriented group. Second, the most frequently visited trade area was Myungdong, and there were significant differences in the usage levels of the trade areas except Dongdaemun, Samsung station COEX, Jamsil and Gangnam Express Bus Terminal among the groups determined by shopping orientation. Sinsa Garosoogil, Apgujeong Chungdam and Samsung Station COEX were preferred by hedonic value trend-oriented group. Daehakro and Myungdong were preferred by combined value-oriented group and convenience-oriented group. Third, significant differences were also found in all groups in the preference factors of the trade area as determined by shopping orientation groups when purchasing clothing. Forth, female preferred Gangnam Express Bus Station and Jamsil than male did. Those who in their early twenties preferred Daehakro and Myungdong the most and those who in early thirties and late twenties concerned service policy the most. The results imply that the consumers tend to visit the nearest fashion trade area by their residence(or work, school) and consider the location and accessibility of the trade area as the most important factor.

• Korean Journal of Environment and Ecology
• /
• v.20 no.1
• /
• pp.9-19
• /
• 2006

This study was conducted on the visitors regarding their usage and evaluation state of the interpretive media which is utilized as a self-guide environment interpretation for the purpose of accumulating basic data for the park management. A questionnaire survey was chosen and the 275 valid samples among them were analyzed. The socioeconomic and behavioral characteristics of the visitors turned out to be similar with the results from another visitor survey in the same site. Among those who used the interpretive media, the largest proportion(77%) used the information board resources of the park; the usage rate of interpretive labels of woody plants, interpretive signs of cultural assets, and LED signs were shown to be relatively high. The usage of park brochures, park web sites, visitor center exhibits, and bulletin boards were less than 40% each. Visitors were asked to evaluate the importance and performance of the nine interpretive medias using a Likert Scale whose value ranges from one to five. The result recorded averaged above 4, which proved that the respondents were perceiving the importance of all forms of interpretive media greatly. The performance of interpretive media was also evaluated as affirmative, except the visitor center exhibits.

• Journal of Digital Contents Society
• /
• v.19 no.2
• /
• pp.351-362
• /
• 2018

This study investigated how Schwartz' value system(1992) would interfere with SNS users' motivations and behavioral responses. The study result shows that values are characterized in terms of openness, mutual reciprocity, self enhancement, normative compliance, and security. Each of them exerted differential impact on SNS usage motives, social capital, ad response, and word-of-mouth, among others. The five values were used as an input for segmenting SNS users and clustering method produced four value segments; experience seeker, interdependent sympathizer, self enhancer, and norm-bound. Each value group not only influenced SNS perceptions and behavioral responses differently, but also showed a systematic relationship with SNS service types. The study findings demonstrate that Schwartz's value system provides a very useful theoretical basis for understanding the psychological mechanism underlying SNS usage.

• Journal of Society of Preventive Korean Medicine
• /
• v.18 no.3
• /
• pp.41-55
• /
• 2014

This research has academic significance in that it uses the data from "Research on Usage of Korean Medicine Service and Medicine" to analyze the differences in usage of Korean medicine service by regions and genders on a national scale. The items analyzed were the sociodemographic characteristics, preferences of forms of Korean medicine service by gender and province. The results showed that there were statistically significant differences by marital status, education, occupation, and income (p<.01). Men used service for back pains (23.0%), muscle injuries (20.7%), back sprain (16.5%), ankle sprain (11.2%), and arthritis (10.5%). Women used service for back pains (26.5%), arthritis (18.7%), muscle injuries (12.9%), back sprain (12.1%), and indigestion problems (10.1%). There were statistically significant differences among men and women (p<.01). In the comparison analysis by cities, back pain was the biggest reason (p<.01), but there were differences from city to city; In Gwangju, back sprains (24.4%) and ankle sprains (16.1%) were first and second reasons, while In Ulsan, back sprains were the first reason (29.8%). By province level, back pains were the biggest reason for men, but there were differences by provinces (p<.05); In Chungbuk and Jeonnam, muscle injuries were first (23.7% and 23.9%, respectively). In conclusion, there were differences by cities and provinces in usage of Korean medical service, as well as by gender.

• School Mathematics
• /
• v.19 no.3
• /
• pp.571-591
• /
• 2017

The purpose of this study is to understand the characteristics of mathematical discourse about the length in the class that learns the length of the curve defined by definite integral. For this purpose, this study examined the discourse about length by paying attention to the usage of the word 'length' in the class participants based on the communicative approach. As a result of the research, it was confirmed that the word 'length' is used in three usages - colloquial, operational, and structural usage - in the process of communicating with the discourse participants. Particularly, each participant did not recognize the difference even though they used different usage words, and this resulted in ineffective communication. This study emphasizes the fact that the difference in usage of words used by participants reduces the effectiveness of communication. However, if discourse participants pay attention to the differences of these usages and recognize that there are different discourses, this study suggests that meta - level learning can be possible by overcoming communication discontinuities and resolving conflicts.

• The Korean Journal of Applied Statistics
• /
• v.33 no.6
• /
• pp.739-751
• /
• 2020

Seoul public bike program facilitates access to bicycles and offers potential for greater mobility and health for users. Furthermore, it would have positive impacts on transport congestion, energy use, and the environment. Hence, it is important to find future rental locations by taking to account both bike-demand and regional imbalance. This paper first finds eligible candidates of rental locations with the required spatial conditions such as a sufficient sidewalk width and accessibility of bike pick-up vehicles. And then, estimates public bike daily usage for each selected location via random forest based on Seoul public bike historical usage, Seoul geographical features, regional characteristics, and populations. This study contributes to a better comprehension of the Seoul public bike program, and would be useful in determining new public bike rental locations.

• Journal of Digital Convergence
• /
• v.19 no.6
• /
• pp.1-9
• /
• 2021

Artificial intelligence (AI) devices are rapidly emerging as a core platform of next-generation information and communication technology (ICT), this study investigated consumer usage behavior and user experience through AI devices that are widely applied to consumers' daily lives. To this end, data was collected from 600 consumers with experience in using AI devices were derived to recognize the attributes and behavior of AI devices. The analysis results are as follows. First, music listening was the most used among various attributes and it was found that simple functions such as providing weather information were usefully recognized. Second, the main devices used by AI device users were identified as AI speakers, smartphone, PC and laptops. Third, associative images of AI devices appeared in the order of fun, useful, novel, smart, innovative, and friendly. Therefore, practical implications are suggested to contribute to provision of user services using AI devices in the future by analyzing usage behaviors that reflect the characteristics of AI devices.

• Proceedings of the KIEE Conference
• /
• 2002.07a
• /
• pp.432-434
• /
• 2002

Recently, electricity demand of remote islands in Korea has been rapidly increased. It's mainly due to increase of income level resulted from economic development. Electricity demand patterns and characteristics in remote islands are different from those of mainland in point of time of peak load, demographic and industrial characteristics of islands, and so on. The optimal power supply in remote islands has a important relationship with accurate analysis of island's load characteristics, the adoption of relevant load forecasting technique, and optimal power facilities reflecting local's electricity demand characteristics. This paper shows the recent load pattern and characteristics, load forecasting using probability distribution, and the perpetration of relevant power facilities in remote islands.

• Korean Journal of Computational Design and Engineering
• /
• v.10 no.4
• /
• pp.293-302
• /
• 2005

The research focused quantitative comparisons of protocols occurring in the architectural massing process using two different tools, three-dimensional(3D) modeler and traditional design tools, to aid architectural massing education. Through the protocol analysis from some experiments, the research identified the following conclusions: 1) Usage of traditional tools produced much higher protocol rate in proposing solution, evaluating proposed solution, explicitness of strategies. This result seemed to be from convenience of traditional tools causing faster visual cognitive cycle. 2) Usage of 3D modeler produced much higher protocol rate concerning attempts of making design vocabulary. The result indicated 3D modeler has relatively effective functions for mass generation and orientation, however it still has some weaknesses on display interface which cause designer's lower idea generations compared to traditional design tools.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.67 no.3
• /
• pp.460-466
• /
• 2018

For the efficient energy consumption in an urban railway station, it is necessary to know the patterns of electrical loads for each usage in detail. The electrical loads in an urban railway station have different characteristics from other normal electrical load, such as the peak load timing during a day. The lighting, HVAC, communication, and commercial loads make up large amount of electrical load for equipment in an urban railway station, and each of them has the unique specificity. These loads for each usage were estimated without measuring device by the polynomial regression method with big data such as total amount of electrical load and weather data. In the simulation with real data, the optimal polynomial regression model was third order polynomial regression model with 9 or 10 independent variables.