• Journal of Nutrition and Health
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• v.30 no.1
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• pp.100-108
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• 1997

Our current food hygiene law mandates nutrition label (NL) for the special nutrition foods, health support foods, instant foods, and foods with certain nutrient emphasized note, only. Currently more processed foods are bearing nutrition labels though the format is quite inconsistant. This study examined the status on current nutrition labeling practices for the processed foods that are retailed in the supermarket. The obtained information was assessed in the aspects of numerical data presentation on nutrients content, descriptive terms, health claim, and the format. The results are summarized as follows. 1) Foods with NL are limited to the food category specified by current hygiene law while voluntary nutition labeling is few. 2) Descriptive terms such as free, low, and sufficient are not substantiated with quantitative data. The efficacy of microelements which has not been clalified yet are overemphasized but major nutrients are ignored. 3) The regulations for the descriptive terms are set on the base of the nutrient content per 100g or 100ml under current nutrition labeling act. It would mislead consumers thus the definition for these descriptor be better set on the unit of the amount of food customary eaten at one time. For this the standard serving size should be set officially. 4) Quantitative nutrition information given on food products is difficult to compare because of the lack in formality. The title of NL, load and kinds of nutritents, order of nutrients listed, the unit of expression, RDA comparision, and reference RDA are inconsistant among the foods similar in dietary property. Uniform format is needed to give NL the credibility and usefulness. Proividing nutrition information to the consumers with NL is a worldwide practice though its efficacy has been controversial. Under newly legistered health promotion law in Korean nutrition education is esxpected to take part in to improve national nutrition condition and NL would education is expected to take part in to improve national nutrition condition and NL would be a potent tool for public nutritions education. It appears to be the time to mandate NL to all the processed foods in the market. The result of present study would initiate further consumer experiments related to NL. Various interest groups such as food and nutrition professions, public health organizations, government regulatory agencies, food producers and marketers, and consumer groups need to particepate and communicate for the legislation of NL and the development of NL format.

• Journal of Digital Convergence
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• v.15 no.6
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• pp.9-17
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• 2017

The opening of public data has been perceived as a critical factor in deciding a country's rise or fall. Since the global economic crisis, countries around the globe have expanded the supply of public data as a new growth engine to create significant economic effects. As a result, there has been a rising demand for a study on the influence of public data in the private sectors. This study attempted to achieve the following objectives. First, the effects of independent variables-system quality, information quality, information security, social influence, innovation and assistance by the public organization- on the intention to use the public data was examined. Second, the effects of the mediating variables - Perceived Ease of Use (PEU) and Perceived Usefulness (PU) - on the independent variables and intention to use (dependent variable) were investigated. Third, after selecting utilization type, frequency of public data usage and frequency of occupational & e-government service usage as moderating variables, their effects on the relationship between the independent variables and dependent variable (intention to use them in the private sector) were studied. It is expected that the study results would be useful in developing strategies aimed to utilize public data in the private sectors.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.2
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• pp.119-133
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• 2022

Due to the improvement of surveying, mapping and communication techniques, various apps for road direction guides and vehicle navigations have been developed. Although such a development has impacted on walking and driving, there is a limit to improving the daily convenience of the socially impaired people. This is mainly due to the fact that the software have been developed for normal pedestrians and drivers. Therefore, visually impaired people still have problems with the confusion of direction and/or non-provision of risk factors in walking. This study aimed to propose a scheme which constructs data for mobility-impaired or traffic-impaired people based on various geospatial information. The factors and components related to walking for the visually impaired are selected by geospatial data and a walking route guidance network that can be applied to a commercial software. As a result, it was confirmed that road direction guidance would be possible if additional contents, such as braille blocks (dotted/linear), sound signals, bus stops, and bollards are secured. In addition, an initial version of the application software was implemented based on the suggested data model and its usefulness was evaluated to a visually impaired person. To advance the stability of the service in walking for the visually impaired people, various geospatial data obtained by multiple institutes are necessary to be combined, and various sensors and voice technologies are required to be connected and utilized through ICT (Information and Communications Technologies) technology in near future.

• Korean journal of communication and information
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• v.69
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• pp.7-29
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• 2015

The purpose of this research is to examine the impacts of persuasion knowledge and pre-attitude on responses to a persuasive entertainment education program. Persuasion knowledge model was adopted as the theoretical frame and information about the sensational identity of entertainment program was used to activate audience's persuasion knowledge(i.e. resistance). Pre-attitude was measured by the degree of concern about the persuasion topic. The experiment was designed by persuasion knowledge(2) ${\times}$ pre-attitude(2) and participants were randomly assigned in one of the conditions and rated their attitude for the persuasion topic. The implicit measure for attitude was included in addition to the explicit measures in order to reveal unconscious attitudinal changes. The results showed that the allegedly effective entertainment-education can confront the resistance of the audience in some contexts. A significant interaction of knowledge ${\times}$ pre-attitude was found in the result of the implicit attitude. The individuals with high concern about the persuasion topic, compared to those with low concern, were more influenced by the entertainment program and also persuasion knowledge. The interaction was not significant on the explicit attitude, which may present the usefulness of the implicit measure in entertainment-education research.

• Journal of the Korea Society of Computer and Information
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• v.17 no.3
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• pp.121-133
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• 2012

In this paper, we propose a novel data analysis approach that extracts granules suitable for various perspectives by introducing scaling level into formal concept analysis in order to control the level of granularity. Based on our approach, we can extract various granules from the given data set and constructs granular concept hierarchies based on the relations between the granules. Therefore, we can classify the given data with respect to the purpose or the intention of user's viewpoints. And, we developed G-Tool that supports our approach. In order to verify the usefulness of our proposed approach and G-Tool, we have done some experiments for real data set and reported about results of our experiments. From the experiments' results, we can verify our approach with G-Tool can be useful and suitable for classifying the given data with various scaling levels. The traditional formal concept analysis cannot control the level of granularity and can only classify for a particular perspective. However, our proposed approach can classify the given data with respect to user's purpose or intention by combining of diverse scale information and scaling levels.

• Journal of Korean Library and Information Science Society
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• v.53 no.1
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• pp.231-263
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• 2022

The understanding and capability to utilize artificial intelligence (AI) incorporated technology has become a required basic skillset for the people living in today's information age, and various members of the university have also increasingly become aware of the need for AI education. Amidst such shifting societal demands, both domestic and international university libraries have recognized the users' need for educational content centered on AI, but a user-centered service that aims to provide personalized recommendations of digital AI educational content is yet to become available. It is critical while the demand for AI education amongst university students is progressively growing that university libraries acquire a clear understanding of user intention towards an AI educational content recommender system and the potential factors contributing to its success. This study intended to ascertain the factors affecting acceptance of such system, using the Extended Technology Acceptance Model with added variables - innovativeness, self-efficacy, social influence, system quality and task-technology fit - in addition to perceived usefulness, perceived ease of use, and intention to use. Quantitative research was conducted via online research surveys for university students, and quantitative research was conducted through written interviews of university librarians. Results show that all groups, regardless of gender, year, or major, have the intention to use the AI-related Educational Content Recommendation System, with the task suitability factor being the most dominant variant to affect use intention. University librarians have also expressed agreement about the necessity of the recommendation system, and presented budget and content quality issues as realistic restrictions of the aforementioned system.

• The Journal of Society for e-Business Studies
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• v.20 no.1
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• pp.117-135
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• 2015

Mobile wallet that can keep coupons and membership cards for mobile is one of rapidly growing services due to its usability and financial benefit. However, in spite of its rapid growth, the increase of users who do not use continuously it is an important consideration to service providers for making a profit. This study aims to test the effects of factors affecting the continuous use intention of mobile wallet based on VAM (Value-based Adoption Model) which can analyse them in both benefit and sacrifice aspects, so as to suggest considerations to increase the use period of mobile wallet for service providers. The research findings supported the hypotheses regarding to the effects of usefulness, value-expression, perceived security and enjoyment in the benefit aspect and technicality in the sacrifice aspect on perceived value. In addition, the causal path from perceived value to continuous use intention was significant. The study results are expected to be used in marketing or service improvement for short-term users by taking account of emotional factors as well as functional factors.

• Journal of Intelligence and Information Systems
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• v.16 no.1
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• pp.71-92
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• 2010

As the use of trading systems increases recently, many researchers are interested in developing intelligent trading systems using artificial intelligence techniques. However, most prior studies on trading systems have common limitations. First, they just adopted several technical indicators based on stock indices as independent variables although there are a variety of variables that can be used as independent variables for predicting the market. In addition, most of them focus on developing a model that predicts the direction of the stock market indices rather than one that can generate trading signals for maximizing returns. Thus, in this study, we propose a novel intelligent trading system that mitigates these limitations. It is designed to use both the technical indicators and the other non-price variables on the market. Also, it adopts 'two-threshold mechanism' so that it can transform the outcome of the stock market prediction model based on support vector machines to the trading decision signals like buy, sell or hold. To validate the usefulness of the proposed system, we applied it to the real world data-the KOSPI200 index from May 2004 to December 2009. As a result, we found that the proposed system outperformed other comparative models from the perspective of 'rate of return'.

• The Journal of Society for e-Business Studies
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• v.17 no.1
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• pp.1-21
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• 2012

Conventional studies on technology acceptance have focused on information technology for utilitarian value and hence based on 'theory of reasoned action'. Correspondingly, the studies depend on perceived usefulness and perceived ease of use as rational decision making elements. However, in ubiquitous society, innovative technologies are applied to non-task area, as well as task-oriented area. Therefore, users are more influenced by affective factors than cognitive factors in causing their usage intention. In line with those discussions, we cannot make sure that the conventional technology acceptance model could fully explain the current u-service acceptance phenomenon. Hence, to overcome the limitations of the prior technology acceptance studies, we propose an amended TAM which includes one hedonic factor and two factors on ubiquitous computing technology : ubiquity and intelligence.

• Journal of KIISE:Software and Applications
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• v.30 no.5_6
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• pp.550-558
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• 2003

Context-aware application plays an important role in ubiquitous computing (ubiComp) environment by providing user with anytime, anywhere services even without any explicitly triggered command. In this paper we propose a unified context-aware application model which is an essential part to develop various applications in ubiquitous computing environment. The proposed model affirms the independence between sensor and application by using unified context in the form of 5W1H. It also ensures that application exploits relatively accurate context to trigger personalized services. To show usefulness of the proposed model, we apply it to the sensors and applications in the ubiHome, a test bed for ubiComp-enabled home applications. According to the experimental results, without loss of generality, we believe it can be extended to various context-aware applications in daily life.