• Journal of Engineering Education Research
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• v.12 no.4
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• pp.18-29
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• 2009

The main objective of this study is to provide necessary information to improve the college curriculums to reflect the demands from the industry. As a result of the evaluation on the contribution of the engineering colleges to industries, we found out that the knowledge required in the industry was well reflected in contents of college curriculums and the number of college graduates who took the curriculums that contain knowledge and skills required in the industry was very small compared to the number of courses established in colleges. The satisfaction rate on practical application of the knowledge and skills at the work was relatively high. According to the result of evaluating curriculums of different colleges it was found out that the areas where colleges put their key focus were different by schools.

• 한국HCI학회:학술대회논문집
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• 2006.02b
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• pp.203-208
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• 2006

디자인의 여러 프로세스중 중요 행위는 사용자가 바라는 점을 파악하여, 제안하는 행위 중심으로 이루어진다. 사용자의 니즈를 파악하는데 있어, 사용성 평가를 활용하면, 논리적이고, 구체적인 불편요소를 파악하는데 도움을 받을 수 있다. 또한, 디자인 개선안의 효용성을 파악하는데도 디자이너에게 유용한 디자인 개발 프로세스로 자리 잡았다. 사용성 평가를 통해 사용자의 불편요소를 파악하는 방법으로는 크게 두가지 방법이 있는데, 하나는 데스크 탑 컴퓨터를 활용한 시뮬레이션 기법을 들수 있고 다른 하나는 모바일 폰을 활용하는 모습을 직접 촬영하여, 분석하는 방법을 들 수 있다. 데스크 탑 컴퓨터를 활용한 시뮬레이션 기법은 화면의 해상도와 인터렉션 방법이 상이하고, 직접 촬영 방법의 경우, 피 시험자가 카메라를 의식하거나, 분석상에 연구자의 바이어스가 개입할 여지가 많아 각각의 단점이 있다. 본 연구에서는 디자이너가 해결안을 프로토타이핑 하는 방법으로 모바일 폰의 프로세서를 활용한 로그를 남기는 방법으로 사용성 평가를 진행할 수 있는 도구를 만들고 이를 통한 사용성 평가 기법의 방안을 제안하였다. Mobile phone 의 Software User Interface 의 개선안을 검증할 수 있는 툴로 제작된 Interactive Mobile Phone Logger 라는 프로그램을Visual Basic 과 JAVA를 이용하여 개발하였다. 이를 활용하면, 디자이너의 해결안을 자동으로 JAVA Class 파일의 패키지로 생성해주고, 서버를 이용하여 패키지를 전송, JAVA를 지원하는 모바일 폰이면 어떠한 모델이든 실험에 참가할 수 있도록 제작 되어있다. 또한, 실험의 결과 데이터는 종료시 자동으로 실험자의 서버를 통해 분석될 수있도록 제작되었다.

• Journal of the Korea Computer Industry Society
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• v.2 no.8
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• pp.1109-1116
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• 2001

This paper describes a mechanism and its aspects for monitoring user actions and behaviors on the web operated under the layered architecture that utilizes intelligent agents, and by which personalized information services, for instance one-to-one marketing, is easily facilitated and developed. Intelligent agent is one of techniques which enables to automate the whole process for providing personalized services that includes monitoring, logging a user actions and analyzing behaviors based on his or her profiles, and then selecting, organizing customizable contents which are at last delivered to the users browser or mail box also by intelligent agents. Monitoring technologies can utilize to help better construct the process in providing personalized services in that those services require intelligence in operating. As a result, implementing effective personalized services, however, depends on how well to define various users interests and needs, and how correctly to detect and log the actions when hey are done by users.

• Korean journal of food and cookery science
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• v.32 no.5
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• pp.609-618
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• 2016

Purpose: The purpose of this study was to analyze the attributes considered important by Singaporeans in the selection of Korean ginseng chicken soup as an HMR product using conjoint analysis techniques. Methods: A total of 400 questionnaires were distributed to local consumers in April 2012, of which 324 were completed (81.0%). Statistical analyses of data were performed using SPSS/Windows 18.0 for descriptive statistics and conjoint analysis. Results: Analysis of the attributes and levels of Korean ginseng chicken soup as an HMR product for people who lived in Singapore showed the relative importance of each attribute as follows: packing (32.4%), chicken (32.1%), glutinous rice (13.8%), soup (11.6%), and ginseng (10.0%). Results showed that Singaporean consumers preferred code J's Korean ginseng chicken soups as an HMR product, which consisted of half a chicken, glutinous rice, a whole ginseng root in a soy sauce-based soup, and a partially transparent package. The most preferred Korean ginseng chicken soup gained 50.4% potential market share from choice simulation when compared with the second preferred one. Conclusion: This study has significance in that such a practical research contributes to product development of a specific Korean dish for foreign consumers. In addition, the results of this study provide useful information for the food industry for global expansion and commercialization of Korean food, thereby providing an important foundation for future development of various Korean foods as HMR products.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.116-121
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• 2009

In the design of mobile entertainment systems for historical heritage sites, it is important to not only overcome technical challenges imposed by power requirements, computation limits, and connectivity, but to support group experiences and consider users preferences for situated media consumption. Cultural heritage sites provide an opportunity to entertain and educate the public through the use of mobile media. The proposed system implemented on a Java-enabled mobile phone provides both audio and visual content that is tailored by tracking user movement with GPS, collecting various user inputs and demographics, and allowing for socially acceptable eavesdropping via wireless networking. By designing for the spatial, personal, and social considerations of the environment, we aim to help users navigate the diverse topology of the space and consume the vast quantities of historical media.

• Information Systems Review
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• v.10 no.2
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• pp.195-209
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• 2008

Customers' needs change every moment. Profitability of stores can't be increased anymore with an existing standardized chain store management. Accordingly, a personalized store management tool needs through prediction of customers' preference. In this study, we propose a recommending procedure using dynamic customers' preference by analyzing the transaction database. We utilize self-organizing map algorithm and association rule mining which are applied to cluster the chain stores and explore purchase sequence of customers. We demonstrate that the proposed methodology makes an effect on recommendation of products in the market which is characterized by a fast fashion and a short product life cycle.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.151-176
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• 2021

As the information technology industry develops, various kinds of data are being created, and it is now essential to process them and use them in the industry. Analyzing and utilizing various digital data collected online and offline is a necessary process to provide an appropriate experience for customers in the industry. In order to create new businesses, products, and services, it is essential to use customer data collected in various ways to deeply understand potential customers' needs and analyze behavior patterns to capture hidden signals of desire. However, it is true that research using data analysis and UX methodology, which should be conducted in parallel for effective service development, is being conducted separately and that there is a lack of examples of use in the industry. In thiswork, we construct a single process by applying data analysis methods and UX methodologies. This study is important in that it is highly likely to be used because it applies methodologies that are actively used in practice. We conducted a survey on the topic to identify and cluster the associations between factors to establish customer classification and target customers. The research methods are as follows. First, we first conduct a factor, regression analysis to determine the association between factors in the happiness data survey. Groups are grouped according to the survey results and identify the relationship between 34 questions of psychological stability, family life, relational satisfaction, health, economic satisfaction, work satisfaction, daily life satisfaction, and residential environment satisfaction. Second, we classify clusters based on factors affecting happiness and extract the optimal number of clusters. Based on the results, we cross-analyzed the characteristics of each cluster. Third, forservice definition, analysis was conducted by correlating with keywords related to happiness. We leverage keyword analysis of the thumb trend to derive ideas based on the interest and associations of the keyword. We also collected approximately 11,000 news articles based on the top three keywords that are highly related to happiness, then derived issues between keywords through text mining analysis in SAS, and utilized them in defining services after ideas were conceived. Fourth, based on the characteristics identified through data analysis, we selected segmentation and targetingappropriate for service discovery. To this end, the characteristics of the factors were grouped and selected into four groups, and the profile was drawn up and the main target customers were selected. Fifth, based on the characteristics of the main target customers, interviewers were selected and the In-depthinterviews were conducted to discover the causes of happiness, causes of unhappiness, and needs for services. Sixth, we derive customer behavior patterns based on segment results and detailed interviews, and specify the objectives associated with the characteristics. Seventh, a typical persona using qualitative surveys and a persona using data were produced to analyze each characteristic and pros and cons by comparing the two personas. Existing market segmentation classifies customers based on purchasing factors, and UX methodology measures users' behavior variables to establish criteria and redefine users' classification. Utilizing these segment classification methods, applying the process of producinguser classification and persona in UX methodology will be able to utilize them as more accurate customer classification schemes. The significance of this study is summarized in two ways: First, the idea of using data to create a variety of services was linked to the UX methodology used to plan IT services by applying it in the hot topic era. Second, we further enhance user classification by applying segment analysis methods that are not currently used well in UX methodologies. To provide a consistent experience in creating a single service, from large to small, it is necessary to define customers with common goals. To this end, it is necessary to derive persona and persuade various stakeholders. Under these circumstances, designing a consistent experience from beginning to end, through fast and concrete user descriptions, would be a very effective way to produce a successful service.

• Journal of the Korean Society of Food Science and Nutrition
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• v.45 no.6
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• pp.894-902
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• 2016

The purpose of this study was to analyze the attributes considered as important by parents in the selection of laver for infants through conjoint analysis techniques. A total of 917 questionnaires were distributed in January 2016, of which 211 were completed (23.0%). Statistical data analyses were performed using SPSS/Win 21.0 for descriptive statistics and conjoint analysis. The conjoint design was applied to evaluate the hypothetical laver for infants. According to the analysis of attributes and levels of laver for infants, the relative importance of each attribute was follows: seasoning (26.55%), flavor (19.33%), texture (18.75%), oil (15.15%), size (10.61%), and certification (9.61%). The results of the conjoint analysis indicate that parents raising infants preferred laver with the characteristics of non-seasoning, general flavor, softness, half-size, organic certification, and perilla oil. The most preferred laver for infants gained a 53.7% potential market share from choice simulation compared with laver being sold. Using utility and relative importance, the laver market for infants was classified into two segments. As a result of market segmentation, parents of cluster 1 preferred the laver model being sold (soy seasoning) while parents of cluster 2 preferred the optimized laver model (non-seasoning).

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.1-21
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• 2021

As the global business environment changes, uncertainties in technology development and market needs increase, and competition among companies intensifies, interests and demands for R&D activities of individual companies are increasing. In order to cope with these environmental changes, R&D companies are strengthening R&D investment as one of the means to enhance the qualitative competitiveness of R&D while paying more attention to facility investment. As a result, facilities or R&D investment elements are inevitably a burden for R&D companies to bear future uncertainties. It is true that the management strategy of increasing investment in R&D as a means of enhancing R&D capability is highly uncertain in terms of corporate performance. In this study, the structural factors that influence the R&D capabilities of companies are explored in terms of technology management capabilities, R&D capabilities, and corporate classification attributes by utilizing data mining techniques, and the characteristics these individual factors present according to the level of R&D capabilities are analyzed. This study also showed cluster analysis and experimental results based on evidence data for all domestic R&D companies, and is expected to provide important implications for corporate management strategies to enhance R&D capabilities of individual companies. For each of the three viewpoints, detailed evaluation indexes were composed of 7, 2, and 4, respectively, to quantitatively measure individual levels in the corresponding area. In the case of technology management capability and R&D capability, the sub-item evaluation indexes that are being used by current domestic technology evaluation agencies were referenced, and the final detailed evaluation index was newly constructed in consideration of whether data could be obtained quantitatively. In the case of corporate classification attributes, the most basic corporate classification profile information is considered. In particular, in order to grasp the homogeneity of the R&D competency level, a comprehensive score for each company was given using detailed evaluation indicators of technology management capability and R&D capability, and the competency level was classified into five grades and compared with the cluster analysis results. In order to give the meaning according to the comparative evaluation between the analyzed cluster and the competency level grade, the clusters with high and low trends in R&D competency level were searched for each cluster. Afterwards, characteristics according to detailed evaluation indicators were analyzed in the cluster. Through this method of conducting research, two groups with high R&D competency and one with low level of R&D competency were analyzed, and the remaining two clusters were similar with almost high incidence. As a result, in this study, individual characteristics according to detailed evaluation indexes were analyzed for two clusters with high competency level and one cluster with low competency level. The implications of the results of this study are that the faster the replacement cycle of professional managers who can effectively respond to changes in technology and market demand, the more likely they will contribute to enhancing R&D capabilities. In the case of a private company, it is necessary to increase the intensity of input of R&D capabilities by enhancing the sense of belonging of R&D personnel to the company through conversion to a corporate company, and to provide the accuracy of responsibility and authority through the organization of the team unit. Since the number of technical commercialization achievements and technology certifications are occurring both in the case of contributing to capacity improvement and in case of not, it was confirmed that there is a limit in reviewing it as an important factor for enhancing R&D capacity from the perspective of management. Lastly, the experience of utility model filing was identified as a factor that has an important influence on R&D capability, and it was confirmed the need to provide motivation to encourage utility model filings in order to enhance R&D capability. As such, the results of this study are expected to provide important implications for corporate management strategies to enhance individual companies' R&D capabilities.