• Korean Journal of Culture and Social Issue
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• v.23 no.4
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• pp.497-525
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• 2017

This study verified whether university students of Gwangju and Jeollanam-do recall negative information like violence and death faster than positive information like democratic community about the May 18 Gwangju democratic movement in implicit dimension. University students of Gwangju responded faster when the May 18 combined with the pictures of negative content. However, university students of Jeollanam-do responded marginally faster when the May 18 combined with the pictures of positive content. In addition, the students performed implicit evaluation test towards the May 18. The students of Gwangju showed a slightly negative attitude towards the May 18, while the students of Jeollanam-do showed a positive attitude towards the May 18. This study acquires significance because it confirmed that university students of Gwangju have an implicit representation similar to trauma and a terrible feeling about the May 18.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.510-513
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• 2010

Color is basically composed of hue, saturation and value. Many objects are made up with color. When people see color, they feel different emotion because of different combination of hue, saturation and value of different colors. Thus, people feel different feeling about the taste of food depending on its color. Thus, by analyzing what color makes people feel tasty about food, we can make food to look more delicious. When people take pictures of food, theyusually do not consider this into account. However if we apply this technology into taking pictures of food, we can make the food look more delicious. This technology can be applied when people want to upload pictures of food in blog, homepage and twitter and so on. In this paper, we analyze the feelings of color of people and then choose the best color combination to present food. After that we change the original image into the new one based on the analysis of color. This way, we can reflect each user's preference.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.12
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• pp.1759-1768
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• 2022

This paper proposes a model to detect depression-related emotions in a user's speech using wellness dialogue scripts provided by AI Hub, topic-specific daily conversation datasets, and chatbot datasets published on Github. There are 18 emotions, including depression and lethargy, in depression-related emotions, and emotion classification tasks are performed using KoBERT and KOELECTRA models that show high performance in language models. For model-specific performance comparisons, we build diverse datasets and compare classification results while adjusting batch sizes and learning rates for models that perform well. Furthermore, a person performs a multi-classification task by selecting all labels whose output values are higher than a specific threshold as the correct answer, in order to reflect feeling multiple emotions at the same time. The model with the best performance derived through this process is called the Depression model, and the model is then used to classify depression-related emotions for user utterances.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.427-428
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• 2021

Recently, various augmented reality(AR) methods for monitoring situations in a remote factory have been proposed. The 2D manual with a classic method is not intuitive to understand and has limitations to provide to interact with objects to be repaired in the remote factory. In our paper, we present a guide method based on a virtual human expressed in augmented reality for the remote environment. Also, the remote factory environment was periodically captured through 3D reconstruction, our virtual human was adaptively matched to the built 3D environment. According to this paper, our method makes it possible to perform repairs quickly with the feeling of being with an expert. and it is possible to provide a visualized guide for troubleshooting in various fields such as factories, offices, medical facilities, and schools in remote environments.

• Quality Improvement in Health Care
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• v.30 no.1
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• pp.15-32
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• 2024

Purpose: The number of severely ill patients requiring post-acute care has been increasing. Careful discharge planning minimizes unplanned emergency room visits and readmissions. This study aimed to survey the knowledge, experience, confidence, and obstacles faced by medical residents and fellows regarding the discharge process of severely ill patients. Methods: A survey consisting of 27 questions was sent electronically to residents and fellows who had experience in discharging severely ill patients from a tertiary hospital in Korea. The survey was conducted over a two-week period from September 29, 2022. Results: A total of 98 residents and fellows responded to the survey. Of these, 94% experienced difficulties related to the discharge process. The main obstacle was changes in the patient's condition during discharge planning (92.3%). Although 95% of the respondents acknowledged the need for providing discharge information, only 53.1% of the residents and fellows practiced this. Only 42.9% of the respondents and 20.4% of residents and fellows explained local community healthcare and welfare resources to patients because of a lack of relevant knowledge (69.7%) and feeling no responsibility to explain (40.4%). Conclusion: This study revealed that residents and fellows experienced difficulties in devising discharge plans and providing post-acute care related information, despite recognizing the importance of these. These gaps result from the lack of a discharge planning curriculum regarding critically ill patients and appropriate training in the discharge process. This suggests that an integrated discharge planning curriculum should be developed and adopted in residents' training programs for the differentiated treatment of critically ill patients.

• Journal of the Korean Dietetic Association
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• v.30 no.2
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• pp.95-111
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• 2024

The Smart Hazard Analysis Critical Control Point (HACCP) management system, which integrates information technology (IT) to automate and analyze big data, has been introduced into school food services. This study investigated the job performance, job satisfaction, and job stress of employees in school food services using Smart HACCP. Data were collected via questionnaires from 350 employees in school food services who utilized Smart HACCP and worked in Gyeonggi-do or Incheon. The questionnaire included general information, workplace characteristics, HACCP education status, job performance, and job satisfaction according to the use of Smart HACCP, and general job stress. The responses showed that 92.3% of the participants had received HACCP education in the workplace, and 66.6% understood the content of the education. Among the HACCP process stages, CCP2 (Food Handling and Cooking) and CCP3 (Cooking Completion and Distribution) were the stages at which all participants were using Smart HACCP. CCP3 had the highest percentage (61.4%) of participants who experienced feeling the maximum reduction in their tasks by using Smart HACCP. The Smart HACCP job performance at CCP1 (Inspection) and Smart HACCP job satisfaction were higher in workplaces with 6~10 employees, compared to those with 10≤ employees (both P<0.05). The Smart HACCP job performances at of CP1 (Refrigeration and Freezer Temperature Management) and CP2 (Cleaning and Disinfection of Food Contact Surfaces) were significantly affected by the work area. General job stress was significantly higher in cooks than in cook practitioners, higher in employees with cook certification than in those without it, and higher in employees with work experience (<1 year), compared to those with 5~10 years or 10~15 years' experience. In conclusion, employees' job performance and satisfaction with Smart HACCP need to be enhanced to improve hygiene in school food service. This requires the effective management of their job stress.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.1
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• pp.263-283
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• 2023

In this study, the factors of major satisfaction(curricular satisfaction, class satisfaction, relationship satisfaction, cognitive satisfaction, and general satisfaction factors) which influence the employment preparation behaviors were identified by conducting a survey of female college students of the department of library and information science, and whether the feeling of employment efficacy had a moderating effect on the relationship between the the major satisfaction and the employment preparation behaviors were verified. The research results are as follows. First, curricular satisfaction(C.R.=3.847, p<0.001), class satisfaction(C.R.=3.244, p<0.01), relationship satisfaction(C.R.=3.045, p<0.01), and cognitive satisfaction(C.R.=2.464, p<0.05) factors turned out to have a significant positive(+) effect on the employment behaviors of female college students of the department of library and information science. Second, the moderating effect between the high group and the low group in terms of employment efficacy turned out to have a statistically significant moderating effect as the p value was less than 0.05, p = .040. The results of this study may be used as the useful basic data to not only improve the employment rate for the department of library and information science of community colleges in Korea, but also to prepare for the rapidly declining school-age population and the Institutional Accreditation.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.1
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• pp.153-184
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• 2018

This study aims to investigate the effects of emotional labor level on the level of job satisfaction and library information service provision in public libraries. The research model used emotional labor levels as an independent variable; job satisfaction and level of library information service provision as a dependent variable; and organizational culture as a control factor. The data were collected randomly from 220 librarians of public libraries in Seoul by distributing and collecting internet surveys. Reliability analysis, correlation coefficient analysis, multiple regression analysis, and regression analysis were performed using the SPSS 18.0 program. The statistic hypothesis test results of this study can be summarized as follows. First, public library librarians did not like to express their emotions to users, trying to express their emotions more positively than what they were actually feeling. Second, although librarians experience emotional labors, they feel a sense of achievement when undertaking their tasks and develop pride and happiness in their work. As librarians perceive their work professional, they overcome emotional labors, and have pride in their work. Third, although librarians experience emotional labors, a reasonable job evaluation with goals, and their relationships with colleagues would lead to accomplishment in their work. In addition, although the evaluation of employees is focused on performance, librarians improve their service if library users are satisfied with their service and the services are provided adequately.

• Information Systems Review
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• v.18 no.3
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• pp.155-183
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• 2016

Research on personalized recommender service that uses big data has gained considerable attention given the increasing volume of contents being created. This development indicates the need for service providers to collect personal information and content rating data to personalize content recommendations. Previous studies on this topic proposed algorithms to offer improved recommendations using minimal rating data or service designs and increase the number of ratings. However, limited studies have been conducted on the factors that motivate the ratings input of users, as well as the factors that influence their continuous usage of recommender service. The present study explored the factors that motivate users to enter ratings by conducting in-depth interviews with users who use recommender services. The meanings of these ratings were also explored. Results show that the meaning and usage range of ratings differed based on the stage of a user's with utilization of the service. When users input an initial rating, they treat such a rating as a database to save the impression of a past experience. Such a rating is then used as a tool to reflect the current feeling and thoughts of a user. In the end, users were not only interested in their own rating system, but they also actively sought out the meaning of the rating systems of others and utilized them. Users also expressed mistrust in the recommendations of the service because they were aware of the limitation of the algorithms. This study identified a number of practical implications regarding recommender services.

• Information Systems Review
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• v.20 no.2
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• pp.163-188
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• 2018

When people try to find restaurant information via search engine results, they look at posts not only from sites with solely restaurant reviews but also from sites with restaurant unrelated contents. This study aims to investigate whether relevance between post and blog type affects users' trust toward a review. This study also attempts to check if the above effects interact with age. We designed a restaurant review post for two different blogs: one featuring restaurant review and another that does not feature restaurant reviews. After our participants visited one restaurant review post, they answered our questionnaire. We conducted an online survey on 206 participants to test our research model. Results show that 1) the effect of relevance between post and blog type on message credibility, which is users' trust toward restaurant reviews, is not greater when posts are consistent with the theme of a blog. 2) Among users who are over 30 years old, relevance between post and blog type moderates the relationship between media skepticism, which is users' feeling of mistrust toward blog, and belief in expertise, that is, users' belief that the review post provides sufficient restaurant information. 3) Users' perceived value of the restaurant review post mediates the relationship between users' belief in the expertise in a post and users' intention to seek additional information.