• Journal of the Korean Society for information Management
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• v.23 no.4 s.62
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• pp.197-214
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• 2006

A Web-based environment has very various and heterogeneous users. The emphasis on their individual characteristics may make it hard to reach the general understanding of how they seek and use information on the Web. The purpose of this study is to find common patterns in information seeking behavior on the Web by analyzing a series of cognitive movement of users in interaction with the Web. Based on Dervin's concept and Timeline interview methodology, this study collected 37 Web experience descriptions from 21 respondents, which consisted of 302 steps. Findings addressed that Web information seeking behavior can be classified into seven types : Starting, Searching, Viewing/B row sing , Examining/comparing, Finding/compiling, Deciding/Acting, and Ending. Movement paths in the seven-type information seeking process showed that user's interaction with the Web was repeated and circulated at the Viewing/Browsing step and that information seeking behavior on the Web was multi-directional and non-linear.

• The Journal of the Korea Contents Association
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• v.8 no.9
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• pp.19-26
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• 2008

With the development of ubiquitous computing and the construction of infrastructure for one-to-one personalized services, the importance of context-aware services based on user's situation and environment is being spotlighted. The smart home technology connects real space and virtual space, and converts situations in reality into information in a virtual space, and provides user-oriented intelligent services using this information. In this paper, we proposed the discovery of the behavior sequence pattern using the mining in the smart home. We discovered the behavior sequence pattern by using mining to add time variation to the association rule between locations that occur in location transactions. We can predict the path or behavior of user according to the recognized time sequence and provide services accordingly. To evaluate the performance of behavior consequence pattern using mining, we conducted sample t-tests so as to verify usefulness. This evaluation found that the difference of satisfaction by service was statistically meaningful, and showed high satisfaction.

• Journal of Korean Library and Information Science Society
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• v.40 no.4
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• pp.159-176
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• 2009

The aim of this study was to investigate the users' behaviour when interacting with elements based on XML documents retrieval system and develop approaches for XML retrieval which are effective in user-based environment. We followed the experimental guidelines from the INEX 2006 iTrack organizers. For the research goals, 16 responses from the questionnaires per subject and system logs were collected and analyzed using Excel and SPSS 17.0.

• The Journal of Information Technology
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• v.3 no.3
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• pp.67-76
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• 2000

Internet user are very important target market in off-line. Also as being activated e-business, they become core target market in on-line. It comes the present question to the business that marketer has to develop the most suitable marketing method by analysis of consumer's purchasing behavior In this study, we analysis internet user's purchasing behavior and consider the way which is the most suitable internet advertisement using an analysis of census.

• Journal of Information Technology Applications and Management
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• v.27 no.3
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• pp.1-18
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• 2020

Recently, following the development of FinTech technology that combines finance and information and communication technology, the need and social demands for a block chain technology-based trading system have increased significantly. In this study, a research model was developed and hypothesized through literature research on the concept of block chain technology, the technology acceptance model, and the unified theory of acceptance and use of technology. The research theories were tested by collecting data through surveys and analyzing the collected data. This study conducted empirical research to identify the factors influencing the user acceptance intention and utilization behavior of the block chain technology in introducing the block chain technology. First, factors affecting the acceptance intention of the blockchain user were performance expectation, effort expectation, social impact, and blockchain transparency variables. Second, the facilitation conditions and stakeholder confidence variables were analyzed as factors that did not affect the acceptability of the blockchain users. Third, variables such as blockchain transparency, stakeholder trust and intention of acceptance are factors that affect the usage behavior of the blockchain. Fourth, it was confirmed that the acceptance intention had a very high explanatory power on usage behavior of Blockchain technology.

• Korean Institute of Interior Design Journal
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• v.22 no.5
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• pp.143-151
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• 2013

As we recognize the space, humans will experience a process to synthesize elements of cognitive various methods, come to understand the environment. It is intended that on humans to recognize the space, it is intended to act directly under study how to recognize. Humans can know that the determining action based on the values and physical condition, based on the space in which they have been recognized, there are differences in the behavior of the human as a result. Social and arrangement of components - physical region that is cultural difficulties constitute experience specific areas therein. Space for human activities and human, can know that it is not a memory of human behavior, to have a closer relationship with human perception. That is, the description will be aware of the space via the perceptual phenomenon of man due to physical elements performed in the space, what acts about what happens. Through an understanding of the potential for this, and emotion space production consisting only of physical visual element future, and use act of the area to be expressed from his recognition, through the expansion of the perceptual elements, diverse experience richer and more it is a case where deemed necessary access space configuration capable of a broad depth study of this portion is happening, in order to constitute a space, a new interpretation for human behavior is progressing.

• The Journal of Bigdata
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• v.1 no.2
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• pp.1-8
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• 2016

User activity log includes lots of hidden information, however it is not structured and too massive to process data, so there are lots of parts uncovered yet. Especially, it includes time series data. We can reveal lots of parts using it. But we cannot use log data directly to analyze users' behaviors. In order to analyze user activity model, it needs transformation process through extra framework. Due to these things, we need to figure out user activity model analysis framework first and access to data. In this paper, we suggest a novel framework model in order to analyze user activity model effectively. This model includes MapReduce process for analyzing massive data quickly in the distributed environment and data architecture design for analyzing user activity model. Also we explained data model in detail based on real online service log design. Through this process, we describe which analysis model is fit for specific data model. It raises understanding of processing massive log and designing analysis model.

• Journal of the Korean Society for information Management
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• v.27 no.3
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• pp.53-66
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• 2010

Whereas traditional user interface are well accepted modes of information exchange, the new digital conversion type's of information media is relatively complex and provides new means of transaction with user interface. User interface can be decomposed into two component: the physical structure through which information media is controlled, and the presentation of the content. This research explores the two user interface element have different effect on the adoption of information media and, as such, can influence perceived usefulness, perceived easy of use, and intention of use. The hypotheses have been tested with the survey of 148 end-users examines two interface characteristics factors such as efficiency, error, design, entertainment, accuracy, and vividness, and so on. The research summarized in this paper decomposes the influence of interface elements of physical structure interface and content presentation interface to gain a better understanding of how interface stimulates user's perceived usefulness to adopt the information media.

• Journal of the Korea Society of Computer and Information
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• v.22 no.3
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• pp.53-60
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• 2017

The purpose of this study is to provide empirical and quantitative analysis on user's perceived privacy, security, and user satisfaction when providing visualization information about objects and service provider behaviors that users can not perceive in internet service process. Through previous research, we have examined the importance of privacy and security factors as a key factor to be considered for the characteristics of the Internet of things and the Internet of things. In addition, service blueprint, which is one of the service design methodologies to examine the flow of service usage in providing Internet service of things, was examined. In the flow of things internet service utilization, it is found that the things that are out of the user's cognitive area and the behavior of the service provider take up a large part. Therefore, the hypothesis that the trust of the Internet service security and the satisfaction of the user experience can be improved by providing the security visualization information about the behavior of the object and the invisible service provider in the non-contact aspect of the user and the object. In order to verify the hypothesis, we conducted experiments and questionnaires on the use of virtual objects' internet environment and conducted statistical analysis based on them. As a result, it was analyzed that visual information feedback on non - contact and invisible objects and service provider's behaviors had a positive effect on user's perceived privacy, security, and satisfaction. In addition, we conclude that it can be used as a service design evaluation tool to eliminate psychological anxiety about security and to improve satisfaction in internet service design. We hope that this research will be a great help for the research on application method of service design method in Internet environment of objects.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2006.11a
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• pp.283-288
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• 2006

In the future television broadcasting a flood of information from various sources will not always be welcomed by everyone. The need of accessing specific information as required is becoming a necessity. We are interested to make the life of television consumer easier by providing an intelligent television set which can adaptively proposed certain shows to the viewer based on the user historical consumed shows. The TV watching history data consists of TV program titles with their respective genres, channels, watched times and durations, etc. The method proposed is by utilizing Hidden Markov Model (HMM) to model the user preference of kind of genres the viewer will watch based on recorded genres of several weeks time. We take watching schedule from 6 PM to midnight as boundary. The range thus divided into 3 independent time band of 2 hours each resulting in 3 time bands from 6 PM to 8 PM, 8 PM to 10 PM, and lastly 10 PM to midnight. Each time band will be represented by an HMM. From each HMM we can generate a sequence of predicted genre that the user will probably watch during corresponding time-band. Our approach assumes that the user shows a consistent behavior of watching pattern in week to week basis and during the moment of watching TV. To asses the method performance experiment is conducted using real data collected from December 2002 to May 2003. Some user's data are selected and based on that predictions are made. The resulting predictions are then compared with the actual user's history. The experiment shows satisfactory result for user with middle to high consistent behavior level.