• 정보관리학회지
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• 제29권1호
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• pp.191-209
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• 2012

본 연구는 최근 새롭게 등장한 정보탐색매체인 스마트폰을 통한 이용자들의 정보탐색행태를 탐색주제와 고려요인을 중심으로 살펴보았다. 연구를 위하여 스마트폰 이용자를 대상으로 설문조사를 실시하였다. 연구 결과 단순한 사실을 제시하거나 실시간으로 요구되는 성격의 주제에 대한 탐색 빈도가 높은 것으로 확인되었으며, 웹과 모바일 정보탐색행태에서 고려되는 요인들을 스마트폰 정보탐색행태에 적용한 결과 대부분의 요인들이 스마트폰 정보탐색에서도 중요하게 고려되는 것으로 조사되었다.

• 한국전자통신학회논문지
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• 제7권4호
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• pp.777-782
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• 2012

본 논문은 웹 검색 시스템의 사용자 질의에 대한 키워드 색인 기반의 검색 과정에서 적합 문서를 선별하기 위해 검색 키워드의 의미정보와 사용자의 누적 사용정보를 사용하여 검색 성능을 향상시키는 방법을 소개한다. 검색 키워드 의미 정보를 이용하는 검색 방법은 검색 결과로서 의미적으로 무관한 많은 문서들을 배제할 수 있고, 사용자의 누적된 사용정보는 관심사에 중심을 둔 검색문서들을 상위에 제시할 수 있다. 검색 키워드의 의미정보 지식베이스를 구축하고, 검색 문서들을 색인어와 해당 의미범주로 분류하며, 사용자의 정답 문서 참조 행위에 대한 누적 정보를 순위 결정에 반영하여 검색 성능을 향상시킬 수 있다.

• Industrial Engineering and Management Systems
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• 제6권1호
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• pp.64-71
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• 2007

J. Kennedy and R. Eberhart first introduced the concept called as Particle Swarm Optimization (PSO). They applied it to optimize continuous nonlinear functions and demonstrated the effectiveness of the algorithm. Since then a considerable number of researchers have attempted to apply this concept to a variety of optimization problems and obtained reasonable results. In PSO, individuals communicate and exchange simple information with each other. The information among individuals is communicated in the swarm and the information between individuals and their swarm is also shared. Finally, the swarm approaches the optimal behavior. It is reported that reasonable approximate solutions of various types of test functions are obtained by employing PSO. However, if more precise solutions are required, additional algorithms and/or hybrid algorithms would be necessary. For example, the heading vector of the swarm can be slightly adjusted under some conditions. In this paper, we propose a hybrid algorithm to obtain more precise solutions. In the algorithm, when a better solution in the swarm is found, the neighborhood of a certain distance from the solution is searched. Then, the algorithm returns to the original PSO search. By this hybrid method, we can obtain considerably better solutions in less iterations than by the standard PSO method.

• 한국의류학회지
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• 제18권4호
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• pp.536-548
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• 1994

The puprpose of this study were to investigate the conceptual framework of situational variables on clothing types, to find out the relationship between situational variables and personality characteristics, and to determine the effects of situational variables on clothing purchase types. A Questionnaire was developed based on the previous studies. Data was collected from 530 women living Pusan and analyzed by the factor analysis, person correlation, and discriminant analysis. The results of this study were as following; Communication situations and purchasing situations were found out to be different on clothing purchase types. In planning purchase, consumers were affected by printed and tele-communication information search and were affected by interpersonal information search in unplanning purchase. In impulseing purchase, consumers were affected by store information search. It was found out that consumers with high rational clothing involvements were affected by only the purchasing situations when they would buy clothing, but consumers with high emotional clothing involvements were affected by the communication situations as well as the purchase situations. Consumers with high self monitoring traits were not affected by the communication situations and mostly the purchasing situations. Results showed that the purchasing situation was the most significant variables in clothing purchase behavior, communication situating or purchasing situations were differently influenced on clothing purchase types.

• 한국멀티미디어학회논문지
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• 제21권3호
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• pp.369-381
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• 2018

Nowadays a personalization algorithm is gaining huge attention. It gives users selective information which is helpful and interesting in a deluge of information based on their past behavior on the internet. However there is also a fatal side effect that the user can only get restricted information on restricted topics selected by the algorithm. Basically, the personalization algorithm makes users have a narrower perspective and even stronger bias because users have less chances to get views of opponent. Eli Pariser called this problem the 'filter bubble' in his book. It is important to understand exactly what a filter bubble is to solve the problem. Therefore, this paper shows how much Google's personalized search algorithm influences search result through an experiment with deep neural networks acting like users. At the beginning of the experiment, two Google accounts are newly created, not to be influenced by the Google's personalized search algorithm. Then the two pure accounts get politically biased by two methods. We periodically calculate the numerical score depending on the character of links and it shows how biased the account is. In conclusion, this paper shows the formation process of filter bubble by a personalization algorithm through the experiment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권9호
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• pp.2846-2866
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• 2022

Caenorhabditis elegans exhibits sophisticated chemotaxis behavior through two parallel strategies, klinokinesis and klinotaxis, executed entirely by a small nervous circuit. It is therefore suitable for inspiring fast and energy-efficient solutions for autonomous navigation. As a random search strategy, the Lévy walk is optimal for diverse animals when foraging without external chemical cues. In this study, by combining these biological strategies for the first time, we propose a spiking neural network model for search and contour tracking of specific concentrations of environmental variables. Specifically, we first design a klinotaxis module using spiking neurons. This module works in conjunction with a klinokinesis module, allowing rapid searches for the concentration setpoint and subsequent contour tracking with small deviations. Second, we build a random exploration module. It generates a Lévy walk in the absence of concentration gradients, increasing the chance of encountering gradients. Third, considering local extrema traps, we develop a termination module combined with an escape module to initiate or terminate the escape in a timely manner. Experimental results demonstrate that the proposed model integrating these modules can switch strategies autonomously according to the information from a single sensor and control steering through output spikes, enabling the model worm to efficiently navigate across various scenarios.

• 한국문헌정보학회지
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• 제31권3호
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• pp.165-208
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• 1997

온라인 열람목록의 이용자 인터페이스 특성이 이용행태에 미치는 영향을 파악하고, 이용자에게 보다 친근한 인터페이스를 평가하여 시스템 설계의 방향을 제시하는 데에 본 연구의 목적을 두었다. 이용자 인터페이스에 있어서 뚜렷한 특성상의 차이를 보이는 두 시스템을 대상으로 하여 $2\times2$ 교차계획법으로 이용행태연구를 위한 실험연구를 수행하였다. 65명의 탐색자가 실험에 참여하였다. $2\times2$ 교차계획법에서의 이월효과와 시스템효과, $\chi^2$검증, t 검증 매크네마 검증, 최대우도법을 통한 주변대칭성 검증, 인자분석, 회귀분석, 분산분석 등의 통계기법을 검증해야 할 가설과 데이터의 성격에 따라 적절히 적용하여 분석하였다.

• 보건행정학회지
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• 제20권3호
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• pp.138-156
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• 2010

Objective : The purpose of this study is 1) to understand the information-searching behavior of health care consumers ; 2) to examine the relationship between the information-searching behavior of health-care consumers and regulatory variables such as socioeconomic factors, characteristics of medical utilization, and perceived risks ; and 3) to determine the factors that affect consumer satisfaction, especially with respect to information-searching behavior. Method : The data for this study were collected from 838 respondents in five university hospital located in three areas?Seoul, Gyeonggi province, and Chungchong province. As the first step of the study, we conducted a preliminary survey from September 23?26, 2008. At the second step, we conducted a survey on the effect of information-searching behavior on those individuals who had visited. Furthermore, personal interviews were conducted through a face-to-face survey between September 30 and October 17, 2008. Results : The major research findings that were obtained from the study were as follows : First, the age, educational level, and residential district were associated with information source utilization. Second, the level of information searching effort and quality of service had a significant effect on consumer satisfaction. Conclusion : These results show that it is essential for marketers to have in-depth knowledge about the young and educated people who actively search for information and about those who are in the prime of their life and rely on word-of-mouth communication from personal and experi in-al informers. Therefore, marketers should develop different marketing strategies to meet the needs of such consumers.

• International Journal of Safety
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• 제2권1호
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• pp.50-56
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• 2003

There are a lot of uncertainties in the severe accident phenomena and scenarios in nuclear power plants (NPPs) and one of the major issues for severe accident management is the reduction of these uncertainties. The severe accident management aid system using Probabilistic Safety Assessments (PSA) technology is developed for the management staff in order to reduce the uncertainties. The developed system includes the graphical display for plant and equipment status, previous research results by a knowledge-base technique, and the expected plant behavior using PSA. The plant model used in this paper is oriented to identify plant response and vulnerabilities via analyzing the quantified results, and to set up a framework for an accident management program based on these analysis results. Therefore the developed system may playa central role of information source for decision-making for severe accident management, and will be used as a training tool for severe accident management.

• 마케팅과학연구
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• 제6권
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• pp.167-184
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• 2000

Previous models of consumer post-purchase evaluation behavior have treated customer satisfaction as a transaction-specific construct. In the present paper, a conceptual framework that describes customer satisfaction measurement as a process is developed. The framework explains customer satisfaction as a dynamic process encompassing five stages-search, interaction, experience, service, and longevity. It is proposed that organizations should develop information systems to measure customer satisfaction during all five of the stages and disseminate such information throughout the organization as part of their Total Quality Management efforts.