• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.554-557
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• 2016

2015년 우리나라 스마트폰 보급률이 83%에 다다르고 인터넷 정보 검색은 PC보다 모바일이 추월한지 오래다. 범람하는 정보 안에서 편하고 빠른 것에 익숙해진 사용자들은 이제 개인화된 맞춤형 추천 정보의 제공을 원한다. 맞춤형 추천을 위해서는 사용자의 행동을 이해하고 추천하는 것이 필요하다. 현재 대중화된 개인 추천 서비스는 책과 영화가 있는데 생활에 많은 부분을 차지하고 있는 음식점 방문에 대해서도 맞춤형 추천 서비스를 제공해 줄 수 있다. 본 논문에서는 음식점 방문에 대한 비슷한 태도를 보인 사용자를 추출한 후 방문했던 장소를 비교하여 추천하는 사용자 행동 기반 다속성 태도 모델 기반의 장소 추천 모델을 연구한다. 다속성 태도점수를 산출하기 위해 피쉬바인(Fishbein) 방정식을 활용하고 피어슨 상관계수를 이용하여 사용자들간의 유사한 장소를 추출했다. 그리고 그룹렌즈의 선호도 예측 알고리즘을 활용하여 추천 대상 장소를 선정하고 유클라디안 거리법으로 사용자의 거리기반 장소를 추천하였다. 또한 본 논문에서는 실제 데이터를 이용한 실험을 통해 본 논문에서 제시한 시스템의 우수성도 입증하였다.

• Korean Journal of Human Ecology
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• v.7 no.1
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• pp.69-80
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• 2004

The purpose of this study is to suggest methods for the community design through users' behavior study in apartment housing. This study was approached by using both theoretical investigation and empirical research. The theoretical investigation actualized the concept of community design in apartment housing through a literature survey. The empirical survey focused on seeking out a user-oriented design criteria based on the analysis of residents' usage behavior and mental map. The results of this study are as follow: First. regarding the analysis of the residents' attitude toward the share community space(SCS), it was found that the SCS made a sense as community facilities in apartment housing. Second, regarding the SCS through the metal map, it was shown that the sketch map analysis was a useful research method for the community design by actualizing the residents' behavior characteristics. Third. as to the results of analyzing the metal map, it was found that the considered characteristics in recognition of the SCS were related to the liking with the main paths, cross nodes of the moving line, the location of center. and the complexity. In conclusion, the SCS is the main of community design in apartment housing and the above characteristics in recognition are useful as the guidelines in the SCS planning.

• The Journal of Information Systems
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• v.15 no.4
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• pp.125-147
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• 2006

Internet shopping mall has dual nature of information technology features defined by the web-based application system and marketing features explained by the shopping marketplaces. The purpose of this study aims at analyzing the consumer's attempt to purchase and re-purchase intention to the internet shopping mall to combine the IT perspective and the marketing perspective. This paper develop the integrated research model with the acceptance behaviors of customers through consumer's purchase decision process(pre-purchase stage and post-purchase stage). The results from an empirical survey as follows: First, the integrated model is valid in predicting the acceptance of the internet shopping malls by using structured equation modeling. Second, there are the differences between pre-purchase stage and post-purchase stage by each conceptual constructs. Finally, the results of MSEM(Multi-group Structured Equation Modeling) indicate the perceived ease of use and perceived trust to the attitude to the internet shopping mall is more effectively predicted at the pre-purchase stage. Vice versa, the perceived usefulness to the intention to the purchase intention of internet shopping mall is more effectively predicted at the post-purchase stage. This study provides an integrative approach to develop the effective and successful internet shopping mall strategy.

• Journal of Construction Engineering and Project Management
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• v.8 no.1
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• pp.10-21
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• 2018

Many construction projects involve a plethora of safety-related problems that can cause loss of productivity, diminished revenue, time overruns, and legal challenges. Incorporating data collection and analytics methods can help overcome the root causes of many such problems. However, in a dynamic construction workplace collecting data from a large number of resources is not a trivial task and can be costly, while many contractors lack the motivation to incorporate technology in their activities. In this research, an Android-based mobile application, Preemptive Construction Site Safety (PCS2) is developed and tested for real-time location tracking, trajectory prediction, and prevention of potential collisions between workers and site hazards. PCS2 uses ubiquitous mobile technology (smartphones) for positional data collection, and a robust trajectory prediction technique that couples hidden Markov model (HMM) with risk-taking behavior modeling. The effectiveness of PCS2 is evaluated in field experiments where impending collisions are predicted and safety alerts are generated with enough lead time for the user. With further improvement in interface design and underlying mathematical models, PCS2 will have practical benefits in large scale multi-agent construction worksites by significantly reducing the likelihood of proximity-related accidents between workers and equipment.

• Journal of the Korean Society for Library and Information Science
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• v.37 no.2
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• pp.169-186
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• 2003

Most of the university libraries in Korea provide digital reference service(DRS), but the use of DRS is very low. The low usage of DRS seems to result from the lack of subject librarians, of staff, of public relations, and of managers' enthusiastic attitude and understanding of DRS. It is difficult to solve these problems because of the poor circumstances in universities. The collaborative digital reference service(CDRS) is a solution to these problems. Not only CDRS costs little but also can provide reference services in many different subject areas. Though subject specialist librarian, user-friendly system interface, system programs and administrative supports are necessary to implement CDRS, the education and training of the subject specialist librarians is the most important work to be done in the university library situation in Korea.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.12
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• pp.2199-2204
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• 2007

The objective of this study is to get an implication through the application of Technology Acceptance Model (TAM) focused on Mobile Banking Service based on IC Chip. Thus firstly, this study reviewed the related literatures and materials. After this, this parer analyzed this TAM model with covariance structural method to search the factors influencing technology acceptance of Mobile banking service. In conclusion, the proposed model showed that 'innovation factor' influenced 'perceived usefulness' and 'user's acquaintance' influenced 'perceived ease of use'. And this 'perceived usefulness' influenced 'perceived ease of use' and this 'perceived ease of use' influence 'attitude toward use'.

• Journal of the Korean Society for Railway
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• v.11 no.5
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• pp.449-454
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• 2008

The study aims at providing an influential model with regard to the level of satisfaction over the call center users and its operator in the National Railroad Administration, while at the same time seeking for possible ways to improve service standards in the call centers for Korean railroads. As a result, it demonstrates that; in the aspect of callers, the call center personnel are required to improve their ability and reciprocating attitude toward the uses; in the aspect of the operator, they are in need of more qualified service providing including advanced facilities. In this context, it is of outstanding importance to take into account the need and demand by both of the user and the operator as for the call center.

• Convergence Security Journal
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• v.17 no.5
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• pp.71-76
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• 2017

Today, it is an information society where a large number of users access and view important data in a large number of information assets as needed. In this complexity, techniques related Identify Management are being applied, in order to verify authorized user access to important information assets and manage of history. But, the ability access to sensitive information using account has the disadvantage of being able to open the way for information to the attacker when it is hijacked. Thus, in this paper, we propose a secure Identify Management System that can control the use of accounts based on the attitude of the account holder, but also enhances the security and does not hinder the convenience.

• Journal of Distribution Science
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• v.20 no.8
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• pp.47-57
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• 2022

Purpose: The purpose of this study is to find out whether it has a significant effect or not, the 5 hypotheses proposed include the Attitude toward behavior variable on behavioral intention, Subjective norm on behavioral intention, Perceived behavioral control on behavioral intention, Behavioral intention on behavior and Perceived behavioral control on Behavior. Research design, data and methodology: The data processing method in this study uses the SEM method based on Partial Least Squares (PLS), The study was conducted on 100 respondents as a sample. Results: Based on the results of data analysis, it is concluded that from the 5 hypotheses proposed, only 2 have a significant effect, namely the subjective norm variable has a significant effect, on behavioral intention and the perceived behavioral control variable has a significant effect on behavior while the other 3 hypotheses have no significant effect. The results of this study are expected to help the public to make decisions in utilizing the distribution of facebook marketplace. Conclusion: This study concludes that the distribution of the use of the Facebook marketplace is a subjective norm variable has a positive effect on the behavioral intention variable and the perceived behavioral control variable has a positive effect on the behavior variable.

• Journal of Smart Tourism
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• v.3 no.1
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• pp.41-47
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• 2023

Tourism and hospitality have encountered significant changes in recent years as a result of the rapid development of information technology (IT). Customers now expect more expedient services and customized travel experiences, which has intensified competition among service providers. To meet these demands, businesses have adopted sophisticated IT applications such as ChatGPT, which enables real-time interaction with consumers and provides recommendations based on their preferences. This paper focuses on the AI support-prompt middleware system, which functions as a mediator between generative AI and human users, and discusses two operational rules associated with it. The first rule is the Information Processing Rule, which requires the middleware system to determine appropriate responses based on the context of the conversation using techniques for natural language processing. The second rule is the Information Presentation Rule, which requires the middleware system to choose an appropriate language style and conversational attitude based on the gravity of the topic or the conversational context. These rules are essential for guaranteeing that the middleware system can fathom user intent and respond appropriately in various conversational contexts. This study contributes to the planning and analysis of service design by deriving design rules for middleware systems to incorporate artificial intelligence into tourism services. By comprehending the operation of AI support-prompt middleware systems, service providers can design more effective and efficient AI-driven tourism services, thereby improving the customer experience and obtaining a market advantage.