• The Korean Journal of Food And Nutrition
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• v.22 no.1
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• pp.141-149
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• 2009

The elderly population in Korea is growing rapidly and their needs for long-term care has also increased. By the year 2018, our society will be approaching aged society and by 2026 it will be a super-aged society. The purpose of this study was to employ conjoint analysis to establish the relative importance of foodservice encounters in terms of determining the utility values of hospital foodservice for elderly patients. According to the results pearson's R(0.420) and Kendall's tau(0.402) statistics showed that the model fits the data well(p<0.05). The relative importance scores of hospital foodservice encounters were as follows: dietary counseling with dietetics(51.2%), foodservice personnel(48.7%), and food(0.1%). A soft cooking method(0.001) was preferred to a general cooking method(0.001), and kind foodservice personnel(0.086) were preferred to quick service(-0.086). Finally, counseling with a dietitian once a week(-0.138) was preferred to counseling twice a week (-0.276). Based on this conjoint analysis, the most preferable model for foodservice at a long-term care facility would be; soft cooking methods, kind service by foodservice personnel, and dietetic counseling once a week. Overall, a better understanding of the specific needs of our institutionalized elderly is one of the key elements that can help our long-term care system develop improved foodservice programs.

• Journal of the Korea Society of Computer and Information
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• v.17 no.10
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• pp.185-192
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• 2012

Call Center requires an ability of agents a lot more than face-to-face contact due to being achieved communication by non face-to face channel for contact with customers. In order to improve the ability of agents, Call Center carries out various educational training according to their work experience and function and with the accomplishment of educational training, Call Center is going to fulfill to develop its quality of counseling and productivity. On the other hand, due to investment of a lot of time and budget to educational training, it is needed to grasp and manage about its effectiveness that how helpful the training is for performance of work-site operations through evaluation of educational training. Having Seen researches about evaluation of educational training until these days, most researches have mainstream to measure satisfaction and a level of learning or degree that how the learning transfers to actions. It is found that a research about an entire evaluation model should be required. This study aims to investigate effectiveness of Call Center educational training from the level of recognition by reflecting Kirkpatrick's the four levels of learning evaluation. By the four levels, reaction, learning, behavior and results, the study found out a connection with standards of evaluation about each levels. In addition, by using structural equation modeling, it was examined goodness of fit about the entire model. Furthermore, by an alternative model, considering a direct relation between a factor of reaction and behavior, it was compared and examined goodness of fit of overall model of the study model and the alternative one.

• Journal of the Korea Convergence Society
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• v.12 no.9
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• pp.21-30
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• 2021

Unlike behaviors that are generally known, information regarding unspecific behaviors is insufficient. For an education or guidance regarding the unspecific behaviors, collection and management of data regarding the unspecific behaviors of special-needs students are needed. In this paper, a consultation management model based on behavior classification of special-needs students using machine learning is proposed. It collects data by photographing the behavior of special students in real time, analyzes the behavior pattern, composes a data set, and trains it in the suggestion system. It is possible to improve the accuracy by comparing the behavior of special students photographed later into the suggestion system and analyzing the results by comparing it with the existing data again. The test has been performed by arbitrarily applying unspecific behaviors that are not stored in the database, and the forecast model has accurately classified and grouped the input data. Also, it has been verified that it is possible to accurately distinguish and classify the behaviors through the feature data of the behaviors even if there are some errors in the input process.

• Annual Conference on Human and Language Technology
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• 2022.10a
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• pp.88-91
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• 2022

디지털 휴먼, 민원 상담, ARS 등 칫챗의 활용과 수요가 증가함에 따라 칫챗의 성능 향상을 위한 다양한 연구가 진행되고 있다. 특히, 오토 인코더(Auto-encoder) 기반의 생성 모델(Generative Model)은 높은 성능을 보이며 지속적인 연구가 이루어지고 있으나, 이전 대화들에 대한 충분한 문맥 정보의 반영이 어렵고 문법적으로 부적절한 답변을 생성하는 문제가 있다. 이를 개선하기 위해 검색 기반의 생성 모델과 관련된 연구가 진행되고 있으나, 현재 시점의 문장이 유사해도 이전 문장들에 따라 의도와 답변이 달라지는 멀티턴 대화 특징을 반영하여 대화를 검색하는 연구가 부족하다. 본 논문에서는 이와 같은 멀티턴 대화의 특징이 고려된 검색 방법을 제안하고 검색된 레퍼런스(준정답 문장)를 멀티턴 대화와 함께 생성 모델의 입력으로 활용하여 학습시키는 방안을 제안한다. 제안 방안으로 학습된 발화 생성 모델은 기존 모델과 비교 평가를 수행하며 Rouge-1 스코어에서 13.11점, Rouge-2 스코어에서 10.09점 Rouge-L 스코어에서 13.2점 향상된 성능을 보였고 이를 통해 제안 방안의 우수성을 입증하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.7
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• pp.396-406
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• 2018

The purpose of this study was to investigate the causal relationship between factors affecting the quality of life (QOL) of call center representatives by applying the PRECEDE model to structural equation modeling. The subjects of the survey were 695 consultants engaged in inbound work at four call centers in D metropolitan city. Data collection was conducted using structured, self-administered questionnaires from November 15th to December 5th, 2016. The results of this study show that the QOL of the reps was significantly negatively correlated with mental health and emotional labor but significantly positively correlated with work environment, self-efficacy, organizational support, and organizational commitment. The results of structural model analysis show that mental health had a negative influence on QOL, whereas work environment and self-efficacy had a positive influence. In addition, emotional labor had a negative effect on mental health, but organizational commitment and work environment had lowered emotional labor level. In addition, organizational support had enhanced employee self-efficacy and organizational commitment, and organizational commitment had mitigated emotional labor. Therefore, it is necessary to implement a health promotion program to improve the QOL of call center reps.

• Journal of Christian Education in Korea
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• v.64
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• pp.237-287
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• 2020

This study was developing group counseling program for sexual education for Christian young adults. and its effects were proven. For this purpose, this study of unmarried Christian young adults ranging 30 from the age 20~35 years old who are attending church C and S located in city of C at Kyungnam province. The subject and control group each had 15 people who separately participated in this program once a week for 120 minutes, 12 times in total. The control group did not receive any feedback after the sessions. group counseling program for sexual education was based on Crabb's biblical counseling model and McMinn's cognitive therapy. Using 12 kinds of cognitive therapy techniques. for its effects were verified. used The sexual knowledge scale standardized model of a college student set by Jeon Gyungsook, Lee Hyoyoung, Lee Seonja, The sexual attitude scale standardized model for a college student set by Ho Seonmin, The sexual decision making scale developed by Sun Mikyung. The data analysis consisted of Cronbach's α test, χ2-test, Mann-Whitney U test, Friedman test, a χ nd Wilcoxon signed-rank test. The result of this study is improve the sexual knowledge, show the conservative tendency of sexual attitudes, and prove the increase in the ability to make responsible sexual decisions of Christian young adults. Following up, this study spreads awareness of the true meaning of sexual being as illustrated from the bible and implies a beneficial program within the church that promotes a healthy life and reconciliation between self, neighbors, and God in a life according to the purpose of creation and order.

• Journal of Korean Academy of Nursing
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• v.48 no.5
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• pp.554-564
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• 2018

Purpose: This study aimed to construct a management model for patient transfer in a multilevel healthcare system and to predict the effect of counseling with nurses on the patient transfer process. Methods: Data were collected from the electronic medical records of 20,400 patients using the referral system in a tertiary hospital in Seoul from May 2015 to April 2017. The data were analyzed using system dynamics methodology. Results: The rates of patients who were referred to a tertiary hospital, continued treatment, and were terminated treatment at a tertiary hospital were affected by the management fee and nursing staffing in a referral center that provided patient transfer counseling. Nursing staffing in a referral center had direct influence on the range of increase or decrease in the rates, whereas the management fee had direct influence on time. They were nonlinear relations that converged the value within a certain period. Conclusion: The management fee and nursing staffing in a referral center affect patient transfer counseling, and can improve the patient transfer process. Our findings suggest that nurses play an important role in ensuring smooth transitions between clinics and hospitals.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.485-493
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• 2016

This study analyzes the collision occurring in the daily life of the United States where diverse ethnicities live side by side, as portrayed in the film 'crash'. The analysis is followed by a counseling method necessary for a diverse society. To analyse the essence of conflict in the film, a convergence psychological analysis was conducted based on desire theory. The result was that the desire to survive and innovate always collided with frustration. This is because of the obstacles in real life that suppresses desire. The process of frustrated desires and their distortion was structurized. In the conclusion, a counseling method and theory with 'a recovery model that promotes change' was presented for problematic personalities that are entrenched widely in the United States about pain by conflict.

• Journal of Korean Philosophical Society
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• v.144
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• pp.205-234
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• 2017

In this essay, I modify and improve an anger-solving approach based on Seneca's theory of anger. Seneca proposed his own theory on anger and its therapy in his book, De Ira. Jin-Nam Yi developed five-step-anger-solving approach based on Seneca's theory and John Dewey's problem-solving steps. I show that Yi's approach is restricted in preventive short-term therapy with a constricted concept of anger. I also propose that we should treat controllable anger on preventive levels and uncontrollable anger on therapeutic levels. Adding the sixth step, 'jumping' in order to treat counselees with uncontrollable angers, I suggest a new anger-solving approach with clinical examples.

• Journal of the Korea Society of Computer and Information
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• v.27 no.11
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• pp.57-66
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• 2022

In this paper, we propose a legal document search method that uses the Sentence-BERT model. The general public who wants to use the legal search service has difficulty searching for relevant precedents due to a lack of understanding of legal terms and structures. In addition, the existing keyword and text mining-based legal search methods have their limits in yielding quality search results for two reasons: they lack information on the context of the judgment, and they fail to discern homonyms and polysemies. As a result, the accuracy of the legal document search results is often unsatisfactory or skeptical. To this end, This paper aims to improve the efficacy of the general public's legal search in the Supreme Court precedent and Legal Aid Counseling case database. The Sentence-BERT model embeds contextual information on precedents and counseling data, which better preserves the integrity of relevant meaning in phrases or sentences. Our initial research has shown that the Sentence-BERT search method yields higher accuracy than the Doc2Vec or TF-IDF search methods.