• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.227-252
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• 2018

The evolution of instant communication has mirrored the development of the Internet and messenger applications are among the most representative manifestations of instant communication technologies. In messenger applications, senders use emoticons to supplement the emotions conveyed in the text of their messages. The fact that communication via messenger applications is not face-to-face makes it difficult for senders to communicate their emotions to message recipients. Emoticons have long been used as symbols that indicate the moods of speakers. However, at present, emoticon-use is evolving into a means of conveying the psychological states of consumers who want to express individual characteristics and personality quirks while communicating their emotions to others. The fact that companies like KakaoTalk, Line, Apple, etc. have begun conducting emoticon business and sales of related content are expected to gradually increase testifies to the significance of this phenomenon. Nevertheless, despite the development of emoticons themselves and the growth of the emoticon market, no suitable emoticon recommendation system has yet been developed. Even KakaoTalk, a messenger application that commands more than 90% of domestic market share in South Korea, just grouped in to popularity, most recent, or brief category. This means consumers face the inconvenience of constantly scrolling around to locate the emoticons they want. The creation of an emoticon recommendation system would improve consumer convenience and satisfaction and increase the sales revenue of companies the sell emoticons. To recommend appropriate emoticons, it is necessary to quantify the emotions that the consumer sees and emotions. Such quantification will enable us to analyze the characteristics and emotions felt by consumers who used similar emoticons, which, in turn, will facilitate our emoticon recommendations for consumers. One way to quantify emoticons use is metadata-ization. Metadata-ization is a means of structuring or organizing unstructured and semi-structured data to extract meaning. By structuring unstructured emoticon data through metadata-ization, we can easily classify emoticons based on the emotions consumers want to express. To determine emoticons' precise emotions, we had to consider sub-detail expressions-not only the seven common emotional adjectives but also the metaphorical expressions that appear only in South Korean proved by previous studies related to emotion focusing on the emoticon's characteristics. We therefore collected the sub-detail expressions of emotion based on the "Shape", "Color" and "Adumbration". Moreover, to design a highly accurate recommendation system, we considered both emotion-technical indexes and emoticon-emotional indexes. We then identified 14 features of emoticon-technical indexes and selected 36 emotional adjectives. The 36 emotional adjectives consisted of contrasting adjectives, which we reduced to 18, and we measured the 18 emotional adjectives using 40 emoticon sets randomly selected from the top-ranked emoticons in the KakaoTalk shop. We surveyed 277 consumers in their mid-twenties who had experience purchasing emoticons; we recruited them online and asked them to evaluate five different emoticon sets. After data acquisition, we conducted a factor analysis of emoticon-emotional factors. We extracted four factors that we named "Comic", Softness", "Modernity" and "Transparency". We analyzed both the relationship between indexes and consumer attitude and the relationship between emoticon-technical indexes and emoticon-emotional factors. Through this process, we confirmed that the emoticon-technical indexes did not directly affect consumer attitudes but had a mediating effect on consumer attitudes through emoticon-emotional factors. The results of the analysis revealed the mechanism consumers use to evaluate emoticons; the results also showed that consumers' emoticon-technical indexes affected emoticon-emotional factors and that the emoticon-emotional factors affected consumer satisfaction. We therefore designed the emoticon recommendation system using only four emoticon-emotional factors; we created a recommendation method to calculate the Euclidean distance from each factors' emotion. In an attempt to increase the accuracy of the emoticon recommendation system, we compared the emotional patterns of selected emoticons with the recommended emoticons. The emotional patterns corresponded in principle. We verified the emoticon recommendation system by testing prediction accuracy; the predictions were 81.02% accurate in the first result, 76.64% accurate in the second, and 81.63% accurate in the third. This study developed a methodology that can be used in various fields academically and practically. We expect that the novel emoticon recommendation system we designed will increase emoticon sales for companies who conduct business in this domain and make consumer experiences more convenient. In addition, this study served as an important first step in the development of an intelligent emoticon recommendation system. The emotional factors proposed in this study could be collected in an emotional library that could serve as an emotion index for evaluation when new emoticons are released. Moreover, by combining the accumulated emotional library with company sales data, sales information, and consumer data, companies could develop hybrid recommendation systems that would bolster convenience for consumers and serve as intellectual assets that companies could strategically deploy.

• Korean Journal of Human Ecology
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• v.7 no.1
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• pp.147-165
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• 1998

The object of this study was to help designing of well-fit and comfortable brassieres for the elementary school girls through the survey on actual condition of wearing brassieres. The subjects of investigation for this study was the elementary school girls in the province of Jeonbuk and Taejeon city. The conclusion of this study was as follows; The 40.2% of the total subjects were wearing brassieres like the 63.3% of the fourth, the 85.4% of the fifth, and the 89.7% of the sixth grade students. The main reason of non wearing brassieres was for the underdeveloped breast, and also that of wearing brassieres was for the good shape of the breast. The main types of brassieres were ranked "Tank Top type", "Mold type", and "Adolescent girl-Bra". They had started to wear brassieres by the recommendation of adults who were their mother or teachers, and usually wearing brassieres all day. They usually purchased brassieres "with mother together" or "only by their mother". The standard of choosing brassieres was also ranked by FASHION, CONVENIENCE, SIZE, TOUCH, and SWEAT ABSORPTION. The total score of satisfaction for wearing brassieres was showed "Average score" and the score higher in Jeonju and Taejeon than in Kunsan. The higher grade and fatter was showed decreasing the score of satisfaction. The higher grade became, the more various for the size and preferable a pure cotton fabric for brassieres. The favorite types of brassieres were "Sport Bra" and "Volume-up Bra". They usually purchased a little larger size than their original size of that.

• Journal of Fashion Business
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• v.20 no.6
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• pp.19-31
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• 2016

Identifying the factors of emotional experience that arouse emotional responses will contribute to determining the relationship between the visual attributes of a salon and the emotional responses of humans, as well as the relationship between service factors and the emotional response of humans. The aim of this study is to examine the effect of the various e motional responses of customers on store preference and to thereby propose marketing strategies for offering an insightful service. The emotionally expressed vocabulary used by customers during their visit is also explored. 300 customers with previous experience of beauty shop services were surveyed and their responses were analyzed using SPSS 20.0 to define the problems. All the emotional experiences at the beauty salon influence the service satisfaction and re-visitation intention. The results showed that, as the customer's level of satisfaction with a service experience increases, the re-visitation intention increases. Of these results, only the service experience influences the recommendation intention. As the effective delivery of positive emotional services influences customers' revisiting intentions, beauty industry workers should be aware of each phase of the customers' emotions and try to provide customer-oriented services to appease these emotions. In addition, workers should strive to create service systems that induce customers' positive emotional responses rather than to offer merely stereotyped services.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.5
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• pp.279-290
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• 2020

This study examines how economic preparation for later life directly influences life after retirement. As people's life cycle is gradually getting longer, preparation for the later time with less economic activity after retirement is becoming more important. Thus, this study analyzes the factors influencing life after retirement. Data comes from the Korean Retirement and Income Study (KReIS) surveyed carried out by the National Pension Research Institute in 2015. The analysis includes Cronbach's alpha, Pearson Product Moment Correlation Coefficient and Sobel Test. This study confirms that voluntary retirement has a positive influence on life satisfaction. Results are in line with previous research about the relationship between voluntary retirement and retired life. When a person retires voluntarily, financial preparation can be made in advance for retirement. In case of involuntary retirement, people may experience a sense of loss in personal standing and financial difficulties due to the unexpected situation. Especially, early retirement from the main workplace leads to unstable later life. The study's policy recommendation, in particular, calls on government and businesses to agree on social responsibility for helping employees to retire in the predictable retirement time and, thus, enabling the retiree to decide all aspects of the path after retirement.

• Journal of Korean Academy of Nursing Administration
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• v.16 no.1
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• pp.48-58
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• 2010

Purpose: The purpose of this study was to identify the effect of a mentoring program as a strategy for the retention of clinical nurses. Method: Research subjects were 20 mentors, 20 mentees and 22 clinical nurses for a control group of mentees. A mentoring program was developed by an expert committee and applied to the experimental group for six months. Data were collected at three and six months after the application of the program from September, 2008 to March, 2009. Data were analyzed using $x^$-test, t-test, Repeated Measures ANOVA, One-way ANOVA in SPSS/Win 15.0 Program. Results: Job satisfaction, organizational commitment, empowerment, and carrier commitment in the mentees of the experimental group were significantly higher than the nurses of the control group. Intention of resignation in mentees of the experimental group were significantly lower than the nurses of the control group. Also, there were significant interaction between the groups and the times of measurements in all variables. Conclusion: The mentoring program showed positive impact on the variables for maintenance of clinical nurses. Recommendation: Based on these findings, retention strategies using mentoring programs were recommended to reduce clinical nurses' resignation and improve the competency of clinical nurses that leads to the productivity of nursing organizations.

• Journal of Korea Multimedia Society
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• v.25 no.8
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• pp.1109-1121
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• 2022

As the demand for quality sleep increases in modern society, the importance of sleep technology has increased. Recently, development of sleep environment improvement products and research on the user's sleep improvement have been activated. Representatively, user sleep pattern analysis research is being conducted through the existing polysomnography, but it is difficult to use it in the sleep environment of daily life. Therefore, in this paper, we propose a system design that can provide a customized deep sleep service to users by detecting sleep disturbance factors in a motion bed environment. In order to improve the user's sleep satisfaction, a logistic regression-based sleep pattern analysis model is proposed and accuracy and significance are verified through experiments. And to improve user's sleep satisfaction, we propose a logistic regression-based sleep pattern analysis model and verify accuracy and significance through experiments. The proposed system is expected to improve the user's sleep quality and effectively prevent and manage sleep disorders.

• Clinics in Shoulder and Elbow
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• v.26 no.1
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• pp.20-24
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• 2023

Background: The Friends and Family Test (FFT) developed by the UK National Health Service evaluates whether patients are satisfied with a service provided, where improvements are needed, and how likely patients are to recommend the intervention. Calculated from the FFT, the Net Promoter Score (NPS) creates a recommendation metric for treatment. The primary aim of this prospective study is to evaluate NPS for arthroscopic subacromial decompression (ASD) and rotator cuff repair (RCR). Secondary aims are to postoperatively evaluate 1-year changes in patients' Oxford Shoulder Scores (OSSs) in terms of the proportion of patients satisfied with their surgery and correlation with FFT. Methods: During a 2-year period, all patients undergoing ASD or RCR completed questionnaires prospectively. Collected preoperatively and postoperatively at 1 year. Results: NPSs were 31 for ASD (n=32) and 52 for RCR (n=39). OSSs increased by 4.3 and 6.9 for ASD and RCR, respectively (P<0.001). Overall, 75% of ASD and 77% of RCR patients were either "satisfied" or "very satisfied," respectively, with procedure outcomes. Scores from FFT had a positive correlation with improvement in OSS and satisfaction scores among patients undergoing arthroscopic shoulder surgeries (P<0.001). Conclusions: The current study shows positive NPS outcomes in patients with ASD and RCR. Scores from FFT correlate well with both satisfaction and OSS among patients. NPS can be an adjunct to traditional patient-reported outcome measures to provide global evaluation of patient experiences to aid in determining the clinical value of common procedures in shoulder orthopaedics. Level of evidence: III.

• Journal of Digital Convergence
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• v.15 no.11
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• pp.425-432
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• 2017

The current recommendation systems have problems including the difficulty of figuring out whether they recommend items that actual users have preference for or have simple interest in, the scarcity of data to recommend proper items due to the extremely small number of users, and the cold-start issue of the dropping system performance to recommend items that can satisfy users according to the influx of new users. In an effort to solve these problems, this study implemented a movie recommendation system to ensure user satisfaction by using the Fuzzy-Analytic Hierarchy Process, which can reflect uncertain situations and problems, and the data partition algorithm to group similar items among the given ones. The data of a survey on movie preference with 61 users was applied to the system, and the results show that it solved the data scarcity problem based on the Fuzzy-AHP and recommended items fit for a user with the data partition algorithm even with the influx of new users. It is thought that research on the density-based clustering will be needed to filter out future noise data or outlier data.

• KIISE Transactions on Computing Practices
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• v.22 no.8
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• pp.375-380
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• 2016

The proliferation of online social networking services (OSNSs) and smartphones has enabled people to easily make friends with a large number of users in the online communities, and interact with each other. This leads to an increase in the usage rate of OSNSs. However, individuals who have immersed into their digital lives, prioritizing the virtual world against the real one, become more and more isolated in the physical world. Thus, their socialization processes that are undertaken only through lots of face-to-face interactions and trial-and-errors are apt to be neglected via 'Add Friend' kind of functions in OSNSs. In this paper, we present a friend recommendation system based on the on/off-line contextual information for the OSNS users to have more serendipitous offline interactions. In order to accomplish this, we modeled both offline information (i.e., place visit history) collected from a user's smartphone on a 3D tensor, and online social data (i.e., friend relationships) from Facebook on a matrix. We then recommended like-minded people and encouraged their offline interactions. We evaluated the users' satisfaction based on a real-world dataset collected from 43 users (12 on-campus users and 31 users randomly selected from Facebook friends of on-campus users).

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.353-363
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• 2019

This study is for the use of color recommendation system for the color combination of mobile application. For this study, color combination methods of a material design color system that recommends harmonized colors automatically and of a mobile web application were applied to a mobile application design and a color combination experiment was carried out. Then for a survey on the experiment using the two methods, color combinations, selected colors and satisfaction with outputs were investigated on a 7-point Likert scale. And color combination characteristics of outputs were compared. It was found that the material design color palette made it easy to select colors by systematizing the regular coloring stages of fixed colors automatically, but there were differences in color compositions and color scopes of dominant color, assort color and accent colors, which are three-color combinations of mobile web application and accent color selection function was required for each design, since only primary colors and secondary colors could be selected. Moreover, chromatic colors were used a lot in the material system because of the fixed color scopes and color combination scopes and images of color combination outcomes varied depending on the color combination scopes, even when tones with a big contrast or complementary colors were selected. The role of color composition was important according to the color combination scopes.