• Journal of the Korea Convergence Society
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• v.4 no.3
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• pp.7-13
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• 2013

The objective of this research is to find out the effect of service provider nonverbal attributes on customer evaluation in service recovery stage. Results showed that first, the better kinesics of service provider, the more satisfaction in service recovery stage. Second, the better service providers have physical appearance, the more revisit intention. But both the kinesics and physical appearance have not an effect on recommendation intention. This paper discussed theoretical and practical focusing on nonverbal attributes of service providers.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.01a
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• pp.83-85
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• 2017

여러 약재의 복합적인 작용으로 치료를 행하는 한의학의 특성으로 여러 처방과 약재 조합들을 기억하고 있어야 하는 한의사의 어려움을 줄이고 환자에게 보다 높은 질의 의료 서비스를 제공할 수 있는 환경을 만드는 것이 목적이다. 다양하고 복합적인 약재의 조합으로 증상을 치료하는 한의학의 특성 때문에 셀 수 없이 많은 약재의 조합이 존재하며 한의사가 이 모든 조합을 기억하기는 어렵기 때문에 한의사들이 환자를 처방함에 있어 조금이라도 보탬이 될 수 있는 처방 지원 시스템을 개발할 필요가 있다. word2vec을 이용하여 처방과 약재의 조합을 추천해주며 분석을 통해 산출된 약재의 조합과 그 조합이 실제 의서에 존재하는지의 여부를 함께 알려주어 한의사가 보다 더 주의하여 환자에게 처방할 수 있다.

• 전자공학회논문지 IE
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• v.45 no.4
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• pp.68-73
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• 2008

In this research, we proposed a learner tailoring question recommendation system for web based learning evaluation system. For teaming evaluation process, this system used the item difficulty Each question was stored and managed to the question bank. Item difficulty was recalculated during teaming process and feedback in next course. For learner tailoring question recommendation, learner could choice the teaming part and set the learning difficulty. In application result of proposal method, almost learner could improve learning score by controling teaming difficulty.

• Journal of Digital Convergence
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• v.17 no.6
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• pp.113-121
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• 2019

The purpose of this study is to identify belief variables of kiosk that affect satisfaction and recommendation intention by applying vertically extended technology acceptance model (TAM). As results of this study are as follows. Firstly, the perceived usefulness and perceived ease of use have an impact on satisfaction statistically. Second, the perceived usefulness and perceived enjoyment of the kiosk showed a positive(+) influence on the recommendation intention. Third, users who satisfied with kiosk service have strong recommendation intention to their friends, family and colleagues so on. These findings support that the usefulness and usability of the new information technology identified in the existing technology acceptance model is a key variable affecting user reactions (satisfaction and recommendation intention). Additionally, the perceived enjoyment is an important factor as new belief variable for explaining the formation of recommendation intention through satisfaction of kiosk service. The results of this study contribute to verifying the empirical model between the belief variables(perceived usefulness, perceived ease of use, perceived enjoyment) and the recommendation intention.

• 방재와보험
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• s.93
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• pp.70-72
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• 2002

두 번의 화재사고를 겪은 후, 방화관리자를 비롯한 모든 임직원들이 더 이상의 화재는 용납하지 못한다는 각오 하에 '무재해', '무화재', '무질병'의 사업장을 조성하고자 노력하고 있다는 삼성테크원(주) 제1사업장을 부산지부의 추천으로 방문하게 되었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.1364-1367
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• 2021

불량 방충재 납입 사건에 따른 방충재 관리의 중요성 및 선박 접안사고가 화두가 되면서 본 논문에서는 현재 방충재 점검 시스템과 그로 인해 발생하는 선박의 접안사고 위험에 대해 문제를 제기한다. 문제를 해결하기 위해 본 논문은 "스마트 방충재 로봇"을 제안하며, 제안하는 로봇의 기능은 다음과 같다. 첫째, 부두에 부착된 방충재의 상태를 실시간으로 확인하고, 전용 애플리케이션을 통해 방충재를 관리한다. 둘째, 방충재 교체 시 부두 위치에 따른 해상조건을 수집하여 적합한 방충재를 추천한다. 셋째, 방충재 손상 또는 선박이 제한 접안속도 초과 시 스마트 방충재 로봇을 투입하여 선박의 접안사고를 방지한다.

• Journal of Digital Convergence
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• v.11 no.8
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• pp.109-117
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• 2013

This study was to evaluate the impact of the wayfinding ability of the individual visitor attitudes. These wayfinding ability to analyze the preceding literature, were examined for the ability to determine whether any relationship and the attitude of the place for visitors. Firstly, the users' wayfinding abilities were identified as partially affecting the use satisfaction. Second, users' wayfinding abilities were identified as partially affecting revisit. Third, users' wayfinding abilities were identified as partially affecting recommendations. Finally, revisit and recommend to influence users' satisfaction were identified. Than the results of this study considering the structural characteristics of the space underground commercial facilities with the ground and the need for other forms of communication design, marketing strategy, especially considering the key aspects of complex commercial facility services space with the need for practical significance for can be said to have.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.419-430
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• 2015

This study is to conceptualize nurses' satisfaction, patient satisfaction about nurses and hospital, and patients' revisit and recommendation intention as linear structural equation model, and then, identify the significance of the path coefficient and goodness of the research model. Data were collected from 2,079 nurses and 6,776 patients in 5 university hospitals. The results were as follows: The research model was generally found to be good in terms of goodness of fit. The significance of the path coefficients are as follows. 1)A nurse's satisfaction has great influence on a patient's satisfaction about nurses, 2)A patient's satisfaction about nurses has influence on patient's satisfaction about the hospital, 3)A patient's satisfaction about the hospital has great influence on patient's revisit intention, 4)A patient's satisfaction about the hospital has great influence on patient's recommendation intention. These results will provide basic data for the hospital managers practicing customer satisfaction strategies in their health care marketing.

• Culinary science and hospitality research
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• v.20 no.4
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• pp.210-223
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• 2014

This study aims at analyzing influential relations among satisfaction, revisit intention, and recommendation intention regarding local food restaurants, based on the motivation to visit the Gimje local festival, a representative festival in Korea. It also offers useful basic materials for related organizations. From October 2 to October 6, 2013, a survey was conducted and a statistic processing was performed with 283 copies of questionnaire for credibility analysis, factor analysis, and regression analysis. The results are as follows. First, three motives for visit were drawn as cultural experience factor, deviation factor, and friendliness factor. Second, for hypothesis 1, the motivation for visiting the festival had a positive (+) significant influence on satisfaction with the local food restaurants. Third, for hypothesis 2, satisfaction with the local food restaurants had a positive (+) significant influence on revisit intention to the local food restaurants. Fourth, for hypothesis 3, satisfaction with the local food restaurants had a positive (+) significant influence on recommendation intention to the local food restaurants. Consequently, for the purpose of activating festivals, it is necessary to offer a variety of food, to manage the programs satisfying visitors' needs, and to give services continuously.

• Journal of the Korea Society of Computer and Information
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• v.18 no.10
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• pp.23-37
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• 2013

In this paper, the proposed movie recommender system constructs trust network, which is similar to social network, using user's trust information that users explicitly present. Recommendation on items is performed by using relation degree between users and information of recommended item is provided by a visualization method. We discover the hidden relationships via the constructed trust network. To provide visualized recommendation information, we employ Freebase which is large knowledge base supporting information such as movie, music, and people in structured format. We provide three visualization methods as the followings: i) visualization based on movie posters with the number of movies that user required. ii) visualization on extra information such as director, actor and genre and so on when user selected a movie from recommendation list. iii) visualization based on movie posters that is recommended by neighbors who a user selects from trust network. The proposed system considers user's social relations and provides visualization which can reflect user's requirements. Using the visualization methods, user can reach right decision making on items. Furthermore, the proposed system reflects the user's opinion through recommendation visualization methods and can provide rich information to users through LOD(Linked Open Data) Cloud such as Freebase, LinkedMDB and Wikipedia and so on.