• The Journal of the Korea Contents Association
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• v.20 no.6
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• pp.482-497
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• 2020

The purpose of this study is to find out how college students overseas field trip group's social network exist, how the network change during the travel period, and how they are related to trip satisfaction, school involvement and peer relations. College students have an unprecedented school adaptation problem, which is questioning college education practices and measure should be taken. Since travel provides a strong bond with the group of participants, in a similar vein, students' overseas trips are also assumed to strengthen solidarity of students. For 31 trip participants, survey was administered to find out the existence of a distinctive network structure, its changes, and its impact on related variables. First, the network structure of the field trip existed explicitly, in which student representatives held their position in degree centrality. Second, network structure has changed before and after the trip, which is due to the social interaction between participants. Third, the effect on trip performance variables was marginal, even if some participants move to centrality. Forth, field trip satisfaction, school involvement, and peer relations were significant correlated. At the end of the paper, the implications and limitations of the study were included.

• Science of Emotion and Sensibility
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• v.21 no.3
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• pp.49-60
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• 2018

Trait anger is one of the psychological traits associated with experiences of anger. Individuals with high trait anger become angry easily at trivial events, and experience anger more frequently, intensely, and over a longer duration. This study aimed to investigate neural responses during experiences of anger, and identify the neural correlates of trait anger. Thirty five adults participated in the functional magnetic resonance (fMRI) experiment. They were scanned while they recalled an anger-inducing memory that was supposed to evoke an experience of anger. During the angry recall compared to the emotionally neutral recall, our participants showed greater neural activation in the right superior temporal gyrus (BA38), left inferior frontal gyrus (BA45), right thalamus, right insula (BA13), bilateral cuneus (BA17), and right cerebellum anterior lobe. The correlation analysis revealed that trait anger scores were positively associated with right insula activity during the angry recall. Individuals with higher trait anger were more likely to show greater activity in the right insula in response to past experiences of anger, as previously implicated in various studies of emotional processing. This finding suggests that trait anger may be an important factor in modulating anger-related brain activity.

• Journal of the Korea Computer Graphics Society
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• v.23 no.5
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• pp.39-49
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• 2017

In this study, we propose the core factors and application of asymmetric virtual reality(VR) content in which head-mounted display(HMD) user and Non-HMD users can work together in a co-located space that can lead to various experiences and high presence. The core of the proposed asymmetric VR content is that all users are immersed in VR and participate in new experiences by reflecting widely a range of users' participation and environments, regardless of whether or not users wear the HMD. For this purpose, this study defines the role relationships between HMD user and Non-HMD users, the viewpoints provided to users, and the speech communication structure available among users. Based on this, we verified the core factors through the process of producing assistive asymmetric VR content and cooperative asymmetric VR content directly. Finally, we conducted a survey to examine the users' presence and their experience of the proposed asymmetric VR content and to analyze the application method. As a result, it was confirmed that if the purpose of asymmetric VR content and core factors between the two types of users are clearly distinguished and defined, the independent experience presented by the VR content together with perceived presence can provide a satisfactory experience to all users.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.39 no.4
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• pp.323-327
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• 2013

Various indicators representing skin characteristics such as skin hydration, sebum excretion rate, lightness, and pH are different depending on environmental and genetic factors. However, they are absolute skin indicators and are different from skin characteristics that a person recognizes. Based on this fact, many recent studies have been mainly conducting researches on perspective changes according to changes of absolute skin. This study was proposed not only to find out differences on skin colors of asian by nations, but also to find out whether there was any difference in skin brightness they perceive depending on actual skin color changing. As many as 410 subjects of three Asia nations were participated in this study, and investigated their responses on skin brightness using questionnaire, which was answered their skin color in three different levels. It was also were analyzed how actual skin brightness were changed depending on their perceived skin color changes of subjects. There was a trend showing that the brightness of the actual skin color was increased when participants felt their skin color got brighter regardless of their nationalities. However, there were some differences in color between perceived color and actual color. In addition, there was a different aspect by nations in changes of skin redness and skin yellowness. In conclusion, it was revealed that factors which help people to perceive their own skin brightness were not based on absolute skin brightness, but on different criteria depending on where they are from.

• Science of Emotion and Sensibility
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• v.16 no.1
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• pp.29-42
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• 2013

In this paper, we analyze the effect of the depth perception, volume perception and visual discomfort according to the change of the quality of the depth image and the depth of the major object. For the analysis, a 2D image was converted to eighteen 3D images using depth images generated based on the different depth position of a major object and background, which were represented in three detail levels. The subjective test was carried out using eighteen 3D images so that the degrees of the depth perception, volume perception and visual discomfort recognized by the subjects were investigated according to the change in the depth position of the major object and the quality of depth map. The absolute depth position of a major object and the relative depth difference between background and the major object were adjusted in three levels, respectively. The details of the depth map was also represented in three levels. Experimental results showed that the quality of the depth image differently affected the depth perception, volume perception and visual discomfort according to the absolute and relative depth position of the major object. In the case of the cardboard depth image, it severely damaged the volume perception regardless of the depth position of the major object. Especially, the depth perception was also more severely deteriorated by the cardboard depth image as the major object was located inside the screen than outside the screen. Furthermore, the subjects did not felt the difference of the depth perception, volume perception and visual comport from the 3D images generated by the detail depth map and by the rough depth map. As a result, it was analyzed that the excessively detail depth map was not necessary for enhancement of the stereoscopic perception in the 2D-to-3D conversion.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.161-177
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• 2015

With the rapid evolution of technology, the size, number, and the type of databases has increased concomitantly, so data mining approaches face many challenging applications from databases. One such application is discovery of fraud patterns from agricultural product wholesale transaction instances. The agricultural product wholesale market in Korea is huge, and vast numbers of transactions have been made every day. The demand for agricultural products continues to grow, and the use of electronic auction systems raises the efficiency of operations of wholesale market. Certainly, the number of unusual transactions is also assumed to be increased in proportion to the trading amount, where an unusual transaction is often the first sign of fraud. However, it is very difficult to identify and detect these transactions and the corresponding fraud occurred in agricultural product wholesale market because the types of fraud are more intelligent than ever before. The fraud can be detected by verifying the overall transaction records manually, but it requires significant amount of human resources, and ultimately is not a practical approach. Frauds also can be revealed by victim's report or complaint. But there are usually no victims in the agricultural product wholesale frauds because they are committed by collusion of an auction company and an intermediary wholesaler. Nevertheless, it is required to monitor transaction records continuously and to make an effort to prevent any fraud, because the fraud not only disturbs the fair trade order of the market but also reduces the credibility of the market rapidly. Applying data mining to such an environment is very useful since it can discover unknown fraud patterns or features from a large volume of transaction data properly. The objective of this research is to empirically investigate the factors necessary to detect fraud transactions in an agricultural product wholesale market by developing a data mining based fraud detection model. One of major frauds is the phantom transaction, which is a colluding transaction by the seller(auction company or forwarder) and buyer(intermediary wholesaler) to commit the fraud transaction. They pretend to fulfill the transaction by recording false data in the online transaction processing system without actually selling products, and the seller receives money from the buyer. This leads to the overstatement of sales performance and illegal money transfers, which reduces the credibility of market. This paper reviews the environment of wholesale market such as types of transactions, roles of participants of the market, and various types and characteristics of frauds, and introduces the whole process of developing the phantom transaction detection model. The process consists of the following 4 modules: (1) Data cleaning and standardization (2) Statistical data analysis such as distribution and correlation analysis, (3) Construction of classification model using decision-tree induction approach, (4) Verification of the model in terms of hit ratio. We collected real data from 6 associations of agricultural producers in metropolitan markets. Final model with a decision-tree induction approach revealed that monthly average trading price of item offered by forwarders is a key variable in detecting the phantom transaction. The verification procedure also confirmed the suitability of the results. However, even though the performance of the results of this research is satisfactory, sensitive issues are still remained for improving classification accuracy and conciseness of rules. One such issue is the robustness of data mining model. Data mining is very much data-oriented, so data mining models tend to be very sensitive to changes of data or situations. Thus, it is evident that this non-robustness of data mining model requires continuous remodeling as data or situation changes. We hope that this paper suggest valuable guideline to organizations and companies that consider introducing or constructing a fraud detection model in the future.

• Korean Journal of Psychosomatic Medicine
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• v.28 no.2
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• pp.185-193
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• 2020

Objectives : The aim of this study was to develop and to verify the Korean version of the Eating Disorder Diagnosis Scale DSM-5 (K-EDDS) as a web-based diagnostic system, which enables rapid diagnosis of patients for early intervention. Methods : A total of 119 persons participated in the study, including patients with eating disorders (n=38) and college students (n=81). Along with the paper-and-pencil SCOFF, all participants completed the web-based K-EDDS, the Eating Disorder Examination-Questionaire (EDE-Q), and the Clinical Impairment Assessment Questionnaire (CIA). The semi-structured interview using the Eating Disorder Examination Interview (EDE) was conducted for participants with two or more SCOFF scores. Within two weeks, the web-based K-EDDS, the EDE-Q, and the CIA were re-tested. Results : In the exploratory factor analysis, four factors were extracted : body dissatisfaction, binge behaviors, binge frequency and compensatory behaviors. The four subscales of the web-based K-EDDS had significant correlation with each of the four subscales of the EDE-Q. The internal consistency of the web-based K-EDDS was highly satisfactory (Cronbach's alpha=0.93). The diagnostic agreement between the web-based K-EDDS and the EDE was excellent (96.83%), and the web-based K-EDDS's test-retest diagnostic agreement was fairly good (92.86%). The web-based K-EDDS and the CIA also showed significant differences between patients and general population, supporting discriminant validity. Conclusions : This study suggested that the web-based K-EDDS is a valid tool for assisting diagnosis of eating disorders based on DSM-5 in clinical and research fields.