• Journal of the Korean Society for Library and Information Science
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• v.30 no.4
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• pp.39-60
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• 1996

A variety of searcher traits, characteristics, subject background and behaviors have been the subject of investigations exploring various hypotheses relating to searching performances. Previous studies have focused on searchers personal characteristics such as training, experience, subject knowledge, intelligence, cognitive style, attitude and searching style, Each of these factors is examined in this paper in order to find out searcher's personal characteristics affecting searching performance. Surprisingly, searching training and experience have not been found to influence searching performance. The hypothesis that intellectual ability correlates with the ability to online search seems to have little effect Various cognitive styles of searchers were tested to find out whether they relate to search results. Only FD/Fl cognitive style were found to be significant in relation to search results. Searchers showed a variety of attitudes about online searching. They revealed sensitivity toward searching charges. The attitude toward charges was reflected on the searching behavior. The sensitive searchers tend to conduct cost-effective searches, Searching styles of intermediaries were characterized as interactive and fast batch. It was found that experienced searchers prefer simple searches which do not explore the interactive capabilities of online system. In summary, previous studies have confirmed that there are apparently great individual differences among online searchers in searching behaviors as well as attitudes. But relationships between these individual differences and search performance were too weak to be significant.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.379-384
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• 2002

개발적인 측면에서 온라인 게임 환경에서의 NPC(Non Playable Character)들은 환경인식능력, 이동능력, 특수 능력 및 아이템의 소유 배분 등을 원활히 하기 위한 능력들을 소유해야 하며, 게임 환경을 인식, 저장하기 위한 데이터구조와 자신만의 독특한 임무(mission)를 달성하기 위한 계획을 갖고 행위를 해야 한다. 이런 의미에서 NPC는 자신만의 고유한 규칙과 행동 패턴, 그리고 목표(Goal)와 이를 실행하기 위한 계획(plan)을 소유하는 에이전트로 인식되어야 할 것이다. 그러나, 기존 게임의 NPC 제어 구조나 구현 방법은 이러한 요구조건에 부합되지 못한 부분이 많았다. C/C++ 같은 컴퓨터 언어들을 이용한 구현은 NPC의 유연성이나, 행위에 많은 문제점이 있었다. 이들 언어의 switch 문법은 NPC의 몇몇 특정 상태를 묘사하고, 그에 대한 행위를 지정하는 방법으로 사용되었으나, 게임 환경이 복잡해지면서, 더욱더 방대한 코드를 만들어야 했고, 해석하는데 많은 어려움을 주었으며, 동일한 NPC에 다른 행동패턴을 적용시키기도 어려웠다. 또한, 대부분의 제어권을 게임 서버 폭에서 도맡아 함으로써, 서버측에 많은 과부하 요인이 되기도 하였다. 이러한 어려움을 제거하기 위해서 게임 스크립트를 사용하기도 하였지만, 그 또한 단순 반복적인 패턴에 사용되거나, 캐릭터의 속성적인 측면만을 기술 할 수 있을 뿐이었다 이러한 어려움을 해소하기 위해서는 NPC들의 작업에 필요한 지식의 계층적 분화를 해야 하고, 현재 상황과 목표 변화에 적합한 반응을 표현할 수 있는 스크립트의 개발이 필수 적이라 할 수 있다 또한 스크립트의 실행도 게임 서버 측이 아닌 클라이언트 측에서 수행됨으로써, 서버에 걸리는 많은 부하를 줄일 수 있어야 할 것이다. 본 논문에서는, 대표적인 반응형 에이전트 시스템인 UMPRS/JAM을 이용하여, 에이전트 기반의 게임 캐릭터 구현 방법론에 대해 알아본다.퓨터 부품조립을 사용해서 Template-based reasoning 예를 보인다 본 방법론은 검색노력을 줄이고, 검색에 있어 Feasibility와 Admissibility를 보장한다.매김할 수 있는 중요한 계기가 될 것이다.재무/비재무적 지표를 고려한 인공신경망기법의 예측적중률이 높은 것으로 나타났다. 즉, 로지스틱회귀 분석의 재무적 지표모형은 훈련, 시험용이 84.45%, 85.10%인 반면, 재무/비재무적 지표모형은 84.45%, 85.08%로서 거의 동일한 예측적중률을 가졌으나 인공신경망기법 분석에서는 재무적 지표모형이 92.23%, 85.10%인 반면, 재무/비재무적 지표모형에서는 91.12%, 88.06%로서 향상된 예측적중률을 나타내었다.ting LMS according to increasing the step-size parameter $\mu$ in the experimentally computed. learning curve. Also we find that convergence speed of proposed algorithm is increased by (B+1) time proportional to B which B is the number of recycled data buffer without complexity of computation. Adaptive transversal filter with proposed data recycling buffer algorithm could efficiently reject ISI of channel and increase speed of convergence in avoidance burden of computational complexity in reality when it was experimented having

• The Journal of the Korea Contents Association
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• v.12 no.7
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• pp.336-345
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• 2012

Under the influence of information technology, there has been a significant change in the consumers' attitude and behavior toward the cultural products. Especially, the social network service (SNS) is predicted to effectively facilitate the growing interaction among potential consumers, which may lead to consumption of the cultural products. The goal of this study is thus two-fold: (a) to investigate the characteristic features of the digital environments based on SNS, and (b) to examine how these factors result in the purchase of the cultural contents. The survey data identified the digital environments as Informational interaction, Information connectivity, and Informational trust in the SNS environment. Subsequently, the structural equation methods confirmed that these factors facilitate consumers' participation in the information network and promote consumers' emotional attachment to the cultural contents, which eventually lead to the positive attitude toward the purchase of the cultural contents.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.4
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• pp.127-139
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• 2024

This study investigates the impact of edutech characteristics and both tangible and intangible educational services on the intention to re-enroll, which is directly related to the management performance of private institutes. The study aims to propose strategies to improve re-enrollment intentions and management performance based on the findings. Private education has grown continuously, complementing the limitations of public education and increasing parental dependence. This study tested the hypothesis that edutech characteristics, intangible services, and tangible services, increasingly utilized with the development of information and communication technology, would influence re-enrollment intentions. It also examined whether rapport-building behavior with parents would have a moderating effect on this relationship. The hypothesis testing results showed that among the edutech characteristics, content, intangible services such as reliability and empathy, and tangible services such as tangibility and payment accessibility positively impacted re-enrollment intentions. The hypothesis that rapport-building behavior would moderate the relationship between educational services and re-enrollment intentions was supported for empathy in intangible services and tangibility in tangible services. Based on these findings, the study proposed three strategies to improve management performance of private institutes. First, in terms of improving and managing edutech characteristics, it suggested introducing and updating edutech content and ensuring operational stability. Second, for improving and managing intangible services, it recommended managing instructor recruitment and training to enhance quality and competence, maintaining professionalism through continuous education by credible institutions, and providing level-based education for students based on the qualitative improvement of educational programs. Third, to improve and manage tangible services, it suggested setting appropriate tuition fees, offering various payment methods (online, mobile, card, bank transfer) unrestricted by time and place, and equipping interiors and facilities that enable focused learning. Additionally, considering the moderating effect of rapport-building behavior, it emphasized that improvements and management requiring costs are necessary, but making parents feel a high level of tangibility through rapport-building is also important. Furthermore, given the increasing importance of edutech based on information and communication technology, the study highlighted the need for various support measures such as government technological support and venture certification system support for institutes with an entrepreneurial spirit aiming to introduce innovative technologies such as AI technology based on large language models and AR/VR-applied metaverse environments. This study is expected to help improve the management performance of private institutes by specifically suggesting items and methods for improvement and management in the educational field.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.33 no.1
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• pp.371-401
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• 2022

If the blockchain means storing information in a distributed environment that cannot be forged or altered, it is mentioned that this is similar to what librarians collect, preserve, and share authoritative information. In this way, this study examined blockchain technology as a way to collect and provide reliable information, increase work efficiency inside and outside the library, and strengthen cooperative networks. This study attempted to propose various ways to utilize blockchain technology in book relations based on literature surveys and case studies in other fields. To this end, this study first analyzed the field and cases of blockchain application to confirm the possibility and value of blockchain application in the library field, and proposed 12 ways to utilize it based on this. The utilization model was proposed by dividing it into operation and service sectors. In the operation sector, it is a digital identity-based user record storage and authentication function, transparent management and traceable monitoring function, voting-based personnel and recruitment system, blockchain governance-based network efficiency function, and blockchain-based next-generation device management and information integration function. The service sector includes improved book purchase and sharing efficiency due to simplification of intermediaries, digital content copyright protection and management functions, customized service provision based on customer behavior analysis, blockchain-based online learning platforms, sharing platforms, and P2P-based reliable information sharing platforms.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.1
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• pp.207-215
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• 2011

This study was about the relation of 129 differently stressed male college students's on or off-line contact behavior to out-eating places. We researched the subjects's obesity degree such as body fat percentage, body mass index, stress condition, and contact behavior to out-eating places. Subjects's average age was 20, height 174.9cm. More stress they felt, heavier their body weight was and more obese. 37.1% of Strongly stressed group, 28.8% of medium and 25% of normal stressed group felt severe depression. As the result of pearson correlation, stress condition was positively related with body weight, obese degree, body mass index(BMI) and exercise time. Body weight was positively related with obeses degree, BMI, and the amount of smoking and drinks. Strongly stressed group used more internet to search the information about out-eating places, they had more experience to search the homepage of out-eating places than other groups significantly. Strongly stressed group cared more about the sanity of out-eating places where they ate. and they were interested in various experiences than other groups. Strongly stressed group felt the tasty was the most important satisfying factor significantly and visited the out-eating place that satisfied them again than other groups.

• Information Systems Review
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• v.17 no.3
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• pp.95-111
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• 2015

The recommendation system automatically provides the predicted items which are expected to be purchased by analyzing the previous customer behaviors. This recommendation system has been applied to many e-commerce businesses, and it is generating positive effects on user convenience as well as the company's revenue. However, there are several limitations of the existing recommendation systems. They do not reflect specific criteria for evaluating products or the factors that affect customer buying decisions. Thus, our research proposes a collaborative recommendation model algorithm that utilizes each customer's online product reviews. This study deploys topic modeling method for customer opinion mining. Also, it adopts a kernel-based machine learning concept by selecting kernels explaining individual similarities in accordance with customers' purchase history and online reviews. Our study further applies a multiple kernel learning algorithm to integrate the kernelsinto a combined model for predicting the product ratings, and it verifies its validity with a data set (including purchased item, product rating, and online review) of BestBuy, an online consumer electronics store. This study theoretically implicates by suggesting a new method for the online recommendation system, i.e., a collaborative recommendation method using topic modeling and kernel-based learning.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.05a
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• pp.338-341
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• 2003

According to a long-term master plan for the implementing of MOMAF's marine environmental informatization, we have developed marine environment portal web site which consists of 7 main-menu and 39 sub-menu including various types of contents (text, image and multimedia) based on RDBMS. This portal site was opened in Oct., 2002 (http://www.meps.info). Also, for the national institutions' distributed DB which is archived and managed respectively the marine chemical data and biological data, the integrated retrieval system was developed. This system is meaningful for the making collaborative use of real data and could be applied for data mining, marine research, marine environmental GIS and making-decisions.

• Informatization Policy
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• v.21 no.3
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• pp.102-127
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• 2014

Although mobile banking provides cost-saving opportunities as well as convenient banking experience for customers, today's banks still face challenges when deploying the technology because a good number of customers are reluctant to use mobile banking for personal reasons. This paper is an empirical investigation of the determinants of the intention to use smartphone-based mobile banking services. The determinants are grouped into two categories including personal factors and social influence factors. We conducted an empirical analysis using 751 survey responses collected from present users of mobile banking services. The results of the analysis reveal that all the personal factors have positive relationships with the intention to use mobile banking services. On the other hand, it was found that of the social influence factors, perceived herding behavior has significantly positive relationship with the intention to use smartphone-based services, whereas subjective norm is not significantly related to the intention. We provide practical as well as academic implications of the research findings.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.185-194
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• 2015

We are living in big data. Specially, female consumers are the hottest issue. Female consumers have a great effected on consumer culture as comparing male consumers. Therefore, this study analysis characteristics of female consumers through case study and literature review. The summarized results of research are as follows. First, percentage of economically active population of unmarried female of 20s is high, so they actively spend lots of money on buying goods and so on. Second, they are ahead of the curve and follow entertainers. Third, domestic case studies(SD online buz marketing, C.S.I. Shinsegaemall project, Service center only for female consumers of Shinhan Card, Travel Service of Lotte Tour) and international case studies(Big data service of Target, ZARA, and Walmart) show that if we utilize big data, we can raise re-purchasing desire and analysis needs of female consumers and create new female consumers.