• Journal of Information Technology Applications and Management
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• v.17 no.1
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• pp.55-81
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• 2010

ASP service users' needs for flexible and customized services to deal with changes in business environments and user contexts seems to be appealing due to the progress of technology and IT paradigm such as ubiquitous computing and web 2.0. Through the lens of expectancy confirmation and flexibility, we explored factors that influence users' repurchase intent and organizational benefit in ASP services. With an empirical study, we examined information quality, service quality, flexibility, customization, user satisfaction, trust in ASP services can contribute to the repurchase intent and organizational benefit. In addition to, business type and company size are added to the research model as control variables for user satisfaction, trust, and repurchase intent. Our findings suggested that the service quality and flexibility significantly were cruicial determinant of user satisfaction in ASP services. Furthermore, user satisfaction significantly influenceS repurchase intent, and organization benefits were affected by repurchase intent. This study has important implications for academic researchers and practitioners who seek to understand factors that affect ASP service users' repurchase intent and organization benefits.

• Journal of Institute of Control, Robotics and Systems
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• v.16 no.10
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• pp.933-938
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• 2010

In this paper, we propose the organization of a sensor system and user's intent detection algorithm for walking assist rehabilitation robots. The main purpose of walking assist rehabilitation robots is assisting SCI patients to walk in normal environment. To use walking assist rehabilitation robot in normal environment, it is needed to consider various factors about user's safety and detection of user's intent and so on. For these purposes, we have analyzed the use case of rehabilitation robots and organized the system of sensors for walking assist rehabilitation robots and finally, we have developed the algorithm which is used to detect user's intent for those. We applied our proposal method in the rehabilitation robot, ROBIN, and verified their effectiveness by normal, not patient.

• Journal of the Korea Society of Computer and Information
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• v.26 no.6
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• pp.115-127
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• 2021

It is not an easy task for a user to find the correct documents that a user really wanted at once from a vast amount of the search results. For this reason, various methods of recommending documents by taking the user's preferences into consideration based on the user's document browsing history have been proposed. However, the document recommendation methodology based on the document browsing history also has a limitation that only the information the user has viewed is utilized, but the intent of the user searching for the document is not fully utilized. Therefore, we propose a document recommendation method based on the user's search intent that utilizes information on "Why" the user reads the document, instead of the information on "Who" reads the document. In order to confirm the feasibility of the proposed methodology, an experiment was conducted by analyzing 239,438 actual user's search history of one of the most popular e-commerce platform companies in Korea. As a result, our methodology showed superior performance compared to the existing content-based or simple browsing history-based recommendation model.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.49 no.2
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• pp.44-52
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• 2012

This paper proposes to increase an efficiency of somebody searching information by a visualization of an unseen query words with well-selected user's intent structures. If a search engine identifies user's intent to pursue information, it would be an effective search engine. To do so, it is needed that relationships between query-words are to be visible after recovering words lost during formulated, and that an intention structure/elements is to be established. This paper will review previous studies, after then, define a simple structure of the search intent, and show a process to expand and to generate the query words appropriate to the intent structure with a method for the visualization of the query words. In this process, some examples and tests are necessary that one of the multiple intent structured layers is to assign to a range of query-words. Increasing/Decreasing an efficiency are analyzed to find. Future research is needed how to automate a process to extend structural nodules of user's intent.

• Journal of Fashion Business
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• v.16 no.2
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• pp.62-73
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• 2012

This study is intended to analyze the effect of fashion consumer's information search on satisfaction with advertisement and the intent to reuse depending on type of advertisement. The survey of the men and women in their 20s and 30s living in Seoul and metropolitan area was conducted for data collection, beginning in 17th through 24th, October 2011. Total 355 copies of questionnaire were used for final data analysis and reliability analysis, factorial analysis and multiple regression analysis were carried out using SPSS 16.0. The results were as follows. First, for banner, e-mail and search advertisement, constant information search had influence on convenience for use and satisfaction with information, and for e-mail advertisement, information search appeared to have had effect on satisfaction with information. Second, constant information search by type of advertisement had effect on intent to reuse. Third, convenience for use, information and satisfaction with the interest by Internet user had influence on the intent to reuse, while for the user of search advertisement, convenience for use and satisfaction with information had effect on the intent to reuse.

• Journal of Broadcast Engineering
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• v.10 no.4 s.29
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• pp.610-620
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• 2005

The current study investigates factors affecting intent to use of T-Commerce in enhanced TV programs. from the perspective of e-commerce users who have experienced terrestrial data broadcasting services. The research model hypothesizes the relationship among independent variables such as perceived usefulness, perceived ease of use, and the dependent variable, intent to use of T-Commerce. In addition, the moderating effect of user innovativeness is also analyzed. The results reveal the significant and positive relationship between perceived usefulness of e-commerce and intent to use of T-Commerce. Besides, the moderating role of user innovativeness is confined to the effect of the perceived usefulness on intent of use of T-Commerce. The findings of this study provide an implication that customer attracting strategies for potential T-Commerce users have to be differentiated based on the status in the T-Commerce development process.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.6
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• pp.212-220
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• 2013

Recently, there has been tremendous increase in human-computer/machine interaction system, where the goal is to provide with an appropriate service to the user at the right time with minimal human inputs for human augmented cognition system. To develop an efficient human augmented cognition system based on human computer/machine interaction, it is important to interpret the user's implicit intention, which is vague, in addition to the explicit intention. According to cognitive visual-motor theory, human eye movements and pupillary responses are rich sources of information about human intention and behavior. In this paper, we propose a novel approach for the identification of human implicit visual search intention based on eye movement pattern and pupillary analysis such as pupil size, gradient of pupil size variation, fixation length/count for the area of interest. The proposed model identifies the human's implicit intention into three types such as navigational intent generation, informational intent generation, and informational intent disappearance. Navigational intent refers to the search to find something interesting in an input scene with no specific instructions, while informational intent refers to the search to find a particular target object at a specific location in the input scene. In the present study, based on the human eye movement pattern and pupillary analysis, we used a hierarchical support vector machine which can detect the transitions between the different implicit intents - navigational intent generation to informational intent generation and informational intent disappearance.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.30 no.4
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• pp.135-156
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• 2019

The purpose of this study is to examine the influence of perceived relational benefits of senior library users on the relationship quality and intent to relationship continuity. This study was conducted 50+ public library users through the survey, and 185 subjects were analyzed. The results showed that relational benefits mediated by relationship quality affect intent to relationship continuity. Particularly, functional benefit among the relational benefits had a great effect on intent to relationship continuity, mediated by relationship quality. Commitment among relational quality had a great effect on intent to relationship continuity. These findings suggest marketing policy implications to develop service policy for senior library users.

• Korean Management Science Review
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• v.23 no.1
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• pp.43-61
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• 2006

This research is an empirical investigation into the dimensions determining the website quality of domestic online shopping malls. A research model that has been formed to find the website quality dimensions is based on DeLone and McLean's information system success model that we adapted to fit the B2C electronic commerce environment by incorporating existing research on IS service quality and website quality. The model incorporates three quality dimensions including the information quality, system quality and service quality, and an attempt was made to empirically examine the relationship between variables of these dimensions and the revisit intent. The results of the study revealed that five quality-related variables were found to importantly contribute to the user's intent to revisit a site : the information accuracy and relevancy, system reliability, ease of use, and on-line support. The paper concludes that the three quality dimensions can serve as a useful framework to evaluate the quality of online shopping mall websites in an attempt to improve the website revisit rate.

• IEMEK Journal of Embedded Systems and Applications
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• v.6 no.4
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• pp.223-229
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• 2011

A novel ecosystem surrounding developing, publishing and using of smartphone applications is driving a new paradigm in software industry. Thousands of applications are newly published on appstores everyday. However more than 97% of them happen to be downloaded less than 1,000 times and resultingly disappeared out of user's interesting. It means that so many efforts and time of developers are vanished. In this paper, we proposed a new architecture to increase code reusability of Android applications so that the time and efforts to develop new applications can be shortened. The proposed architecture, an extended Intent mechanism, supports sharing of Android components among the applications registered in different servers as well as in the same Android device. We designed a new Intent mechanism by extending the PackageManager service and by adopting a new class for ServerPackageManager service.