• 한국융합학회논문지
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• 제12권1호
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• pp.341-351
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• 2021

본 연구의 목적은 돌봄 종사자의 감정부조화와 우울, 불안 간의 관계를 조사하고, 감정부조화와 우울 및 불안 간의 관계에서 정서지능의 조절효과를 알아보는 것이다. 이를 위하여 돌봄 종사자 142명을 대상으로 감정부조화 평가척도, 정서지능 척도, PHQ-9, GAD-7을 실시하였다. 수집된 자료는 SPSS 25.0 프로그램으로 분석하였다. 분석 결과, 감정부조화와 타인 정서인식이 우울 및 불안에 유의한 영향을 미치는 것으로 나타났다. 또한, 감정부조화와 우울 간의 관계에서 타인 정서인식의 조절효과가 나타났다. 마지막으로, 이러한 결과를 바탕으로 돌봄 종사자의 감정노동 및 정신 건강 문제에 대한 개입 방안을 제안하고 논의하였다.

• International Journal of Advanced Culture Technology
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• 제9권2호
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• pp.100-105
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• 2021

Contactless service is rapidly emerging as a new growth strategy due to consumers who are reluctant to the face-to-face situation in the global pandemic of coronavirus disease 2019 (COVID-19), and various technologies are being developed to support the fast-growing contactless service market. In particular, the restaurant industry is one of the most desperate industrial fields requiring technologies for contactless service, and the representative technical case should be a kiosk, which has the advantage of reducing labor costs for the restaurant owners and provides psychological relaxation and satisfaction to the customer. In this paper, we propose a solution to the restaurant's store operation through the unmanned kiosk using a state-of-the-art artificial intelligence (AI) technology of image recognition. Especially, for the products that do not have barcodes in bakeries, fresh foods (fruits, vegetables, etc.), and autonomous restaurants on highways, which cause increased labor costs and many hassles, our proposed system should be very useful. The proposed system recognizes products without barcodes on the ground of image-based AI algorithm technology and makes automatic payments. To test the proposed system feasibility, we established an AI vision system using a commercial camera and conducted an image recognition test by training object detection AI models using donut images. The proposed system has a self-learning system with mismatched information in operation. The self-learning AI technology allows us to upgrade the recognition performance continuously. We proposed a fully automated payment system with AI vision technology and showed system feasibility by the performance test. The system realizes contactless service for self-checkout in the restaurant business area and improves the cost-saving in managing human resources.

• 한국콘텐츠학회논문지
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• 제20권4호
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• pp.86-98
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• 2020

인공지능(Artificial Intelligence, AI) 분야는 거의 모든 산업과 결합하여 미래 초연결 및 초지능 시대를 이끌어갈 기술로 주목받고 있다. 우리나라는 미국, 일본, 독일과 함께 인공지능 강국에 손꼽히지만, 인공지능 G2인 미국, 중국에 비해서는 특허 경쟁력이 낮은 것이 사실이다. 본 연구에서는 인공지능 산업의 기술 추이를 유추하고 인공지능 기술의 분야 별 수명주기와 발전 속도를 가늠해보고자 IPC 기술분류코드를 USPTO의 2008년부터 2018년까지 등록된 인공지능 관련특허를 수집하여 1차원 통계분석, 2차원 통계분석, 네트워크 분석을 통해 기술 혁신과 확산 패턴을 분석하였다. 연구결과 현재 인공지능 관련 기술은 디지털 컴퓨팅, 데이터 처리, 음성인식 등 분야에 집중된 것으로 나타났으며, 응용분야의 특허가 증가하고, 전기 통신, 의료, 운수/물류 등에 활발한 융·복합이 일어나고 있는 것을 알 수 있었다. 본 연구를 통하여 분석된 인공지능 산업의 발전추이와 기술동향은 인공지능 기술과 관련한 기업의 전략과 국가의 정책 입안에 활용될 수 있을 것으로 기대한다.

• 산경연구논집
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• 제11권6호
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• pp.41-53
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• 2020

Purpose: The purpose of this study is to review the previous studies on the characteristics of the image search service provided by using artificial intelligence, the social impact characteristics, and the moderating effect of perceived anthropomorphism, and conduct empirical analysis to identify the constituent factors affecting purchase intention. To clarify. Through this, I tried to present theoretical and practical implications. Research design, data, and methodology: Research design was that characteristics of image search service (ubiquity and information quality) and social impact characteristics (subjective norms, electronic word of mouth marketing) are affected by mediation of satisfaction and flow, therefore, control of perceived anthropomorphism have an effect on purchase intention to increase. For analysis, research conducted literature review, and developed questionnaires, so that EM firm which is a specialized research institute has collected data. This was conducted on 410 people between the 20s and 50s who have mobile shopping experiences. SPSS Statistics 23 and AMOS 23 had been used to perform necessary analysis such as exploratory factor analysis, reliability analysis, feasibility analysis, and structural equation modeling based on this data. Results: first, ubiquity, information quality and subjective norms were found to have a positive effect on purchase intention through satisfaction and flow parameters. Second, satisfaction and flow were found to have a mediating effect between ubiquity, information quality, and subjective norms and purchase intentions. However, there was no mediating effect between eWOM information and purchase intention. Third, perceived anthropomorphism was found to have a moderating effect between information quality and satisfaction, and it was found that there was no moderating effect on the relationship between information quality and flow. Conclusions: The information quality of image search services using artificial intelligence has a positive effect on satisfaction, and it has been found that there is a positive moderate effect of perceived anthropomorphism in this relationship, which may be an academic contribution to the distribution science utilizing artificial intelligence. Therefore, it is possible to propose a distribution strategy that improves purchase intention by utilizing image search service and anthropomorphism in practical business and providing a more enjoyable immersive experience to customers.

• 산업경영시스템학회지
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• 제40권2호
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• pp.68-77
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• 2017

In order to implement the smart home environment, we need an intelligence service platform that learns the user's life style and behavioral patterns, and recommends appropriate services to the user. The intelligence service platform should embed a couple of effective and efficient data mining algorithms for learning from the data that is gathered from the smart home environment. In this study, we evaluate the suitability of data mining algorithms for smart home intelligent service platforms. In order to do this, we first develop an intelligent service scenario for smart home environment, which is utilized to derive functional and technical requirements for data mining algorithms that is equipped in the smart home intelligent service platform. We then evaluate the suitability of several data mining algorithms by employing the analytic hierarchy process technique. Applying the analytical hierarchy process technique, we first score the importance of functional and technical requirements through a hierarchical structure of pairwise comparisons made by experts, and then assess the suitability of data mining algorithms for each functional and technical requirements. There are several studies for smart home service and platforms, but most of the study have focused on a certain smart home service or a certain service platform implementation. In this study, we focus on the general requirements and suitability of data mining algorithms themselves that are equipped in smart home intelligent service platform. As a result, we provide a general guideline to choose appropriate data mining techniques when building a smart home intelligent service platform.

• 한국직업건강간호학회지
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• 제26권4호
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• pp.261-272
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• 2017

Purpose: The study aimed to identify factors influencing work-life balance in female service workers. Methods: A cross-sectional descriptive study was conducted with an online survey of 234 service workers using volunteer panels. Data were collected using a self-administered questionnaire from July 16 to 24, 2017. Major variables included work-life balance, resilience, emotional intelligence, job stress, and fatigue. Using the SPSS 24.0 program, descriptive statistics, t-test, ANOVA, correlation analysis, and multiple regression analysis were conducted. Results: The mean score of the work-life balance level of female service workers was $2.9{\pm}0.85$ on a total score of 6. A multiple regression analysis revealed that smoking, resilience, job stress and fatigue were statistically significant factors in the model (p<.001), with an explanatory power of 50.3%. Emotional intelligence was not significantly associated with work-life balance. Conclusion: The level of work-life balance was considerably low in female service workers. This study suggests that nursing interventions to enhance work-life balance are required at both the individual and organizational levels.

• 한국콘텐츠학회논문지
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• 제13권12호
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• pp.470-483
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• 2013

본 연구에서는 감성노동자인 호텔서비스 종사자를 대상으로 감성노동이 서비스몰입과 고객지향성에 미치는 영향을 파악해 보고자 하였으며, 이들 관계에서 상사의 감성지능의 조절효과를 살펴봄으로써 호텔기업 감성노동 연구의 이론적 실무적 시사점을 제공하고자 하였다. 편의표본추출을 통해 318부의 설문지를 호텔 종사자를 대상으로 회수하였으며, 결측치가 있는 자료를 제외하고 297부를 활용하였다. SPSS 18.0을 통해 자료 분석을 실시하였으며 분석결과는 아래와 같다. 첫째, 감성노동은 이론적 고찰을 통해 감정부조화, 감정빈도, 감정다양성, 감정강도의 하위요인으로 구분하였으며 그 중 감정부조화와 감정강도는 서비스몰입에 유의한 영향을 미치는 것으로 나타났다. 둘째, 종사자의 서비스몰입이 고객지향성에 유의한 영향을 미치는 것으로 나타났다. 셋째, 감성노동 요인중 감성 강도를 제외한 나머지 요인 모두 고객지향성에 유의한 영향을 미치는 것으로 나타났다. 감정부조화는 고객지향성에 부(-)의 방향으로 영향을 미치는 것으로 나타났고, 감정빈도와 감정다양성은 정(+)의 방향으로 영향을 미치는 것으로 나타났다. 마지막으로 감성노동과 고객지향성의 관계에 있어 상사의 감성지능은 감정부조화와의 상호작용효과를 제외하고는 조절효과가 있는 것으로 나타났다. 지속적이고 체계적인 교육훈련을 통하여 감성노동에 대한 관리가 필요하며, 감성노동을 긍정적인 방향으로 유도할 수 있도록 제도적 절차 마련이 필요하다고 사료된다.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.577-582
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• 2020

The performance of a teacher has an important role in the success of education in general. This study aims to determine the factors that affect the decline in teacher performance in one of the junior secondary schools in Indonesia. Based on the literature review, four exogenous variables were identified, namely, training, utilization of information technology, intellectual intelligence, and emotional intelligence. This study uses primary data, collected from a questionnaire distributed to respondents. The questionnaire items are measured using a Likert scale. The sample in this study were all teachers at MTS Darul Falah Sirahan, totaling 32 people. The analysis technique used in testing the hypothesis of this study is multiple regression analysis. Statistical product and service solutions are used as analysis tools. The results of this study indicate that only the variable 'utilization of information technology' has a positive and significant effect. However, the variables 'training,' 'intellectual intelligence,' and 'emotional intelligence' did not have a significant effect. This finding contradicts the literature in general. Therefore, this study recommends improving training methods, both those carried out internally by schools and by related agencies, and schools still need to optimize guidance and potential for teacher's intelligence in improving performance.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 추계학술대회
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• pp.530-532
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• 2021

본 논문은 프로그래밍의 기초 교육을 이수한 개발자가 빅데이터와 인공지능을 학습하기 위해, C/C++ 언어로 프로그래밍을 할 수 있는 인공지능 교육서비스에 대해 다룬다. 또한 개발 환경에 따른 맞춤형 개발 환경 구성 시스템과 사용자가 인공지능 구현하여 테스트하는 방법에 대해 설명한다. 이 외에도 다양한 내부 파라미터 조작을 통해 인공지능에 미치는 영향을 확인할 수 있는 기능을 갖추고 있다. 향후 네트워크 통하여 언어의 제약이 없는 인공지능 교육 서비스 개발이 가능할 것으로 예상한다.

• 노인간호학회지
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• 제20권sup1호
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• pp.154-159
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• 2018

Purpose: There is a need for artificial intelligence which nurtures human intelligence as the prevalence of dementia and collapse of intelligence of human beings has become a social problem. Purpose of this study is to develop intervention technologies for maintaining cognitive health of older adults. Methods: The method named the Coimagination Method (CM) was proposed and has been developed in order to achieve goal. Conversation assistive technologies have been developed and tested based on the method. Results: The state of the art of the group conversation support system, and regular series of group conversation sessions for full-years with insights for healthy older adults are described in detail. Participatory approach has been applied to the design process for simultaneous research and implementation of the service. Both participants and practitioners have been maintaining their cognitive health for independent living. Conclusion: Findings imply that there exist potentially preventive types of dementia and intervention should be applicable for such types. Ways of thinking and living are gently intervened through understanding of personal values and broadening minds, which lead to improved quality of life.