• Journal of the Korean Institute of Landscape Architecture
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• v.16 no.2
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• pp.23-41
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• 1988

Environmental design pattern of the nine Small Urban Spaces at C.B.D. in City of Seoul are surveyed and analyzed for user's satisfaction and behavior under the environmental design evaluation by using Chrisopher Alexander's Pattern Language. Small Urban Spaces as a part of streetscape are formed by physical factors as well as visual environment and interacting user's behavior. Therefore, user's satisfacuion and behavior at the nine Urban Small Spaces were investigated under the further search for some possibilities of a pplication of those Pattern Languages. A pattern language has a structure of a network. It is used in sequence, going through the patterns, moving always from large patterns to smaller, always from the ones which create comes simply from the obsernation that most of the wonderful places of the city were not made by architects but by the people. It defines the limited number of arrangements of spaces that make sense in any given culture. And it actually gives us the power to generate these coherent arrangement of space. As a results, 'Plazl', 'Seats' and 'Accessibility' related design patterns are highly evaluated by Pattern Frequency, Pattern Interaction and their Composition ranks, thus reconfirm Whyte's Praise of urban Small Spaces in our inner city design environments. According to the multiple regression analysis of user's evaluation, the environmental functins related to the satisfaction were 'Plaza', 'Accessibility' and 'Paving'. According to the free response, user's prefer such visually pleasing environmental design object as 'Waterscape' and 'Setting'. In addition to, the basic needs in Urban Small Spaces are amenity facilities as bench, drinking water and shade for rest.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.317-323
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• 2020

This research is based on product development that improves user experience such as design and function by analyzing the usage behavior of elements experienced by generation Z as customers and users in the process leading to disposal of earphones even before purchase. The behavior of earphones in Generation Z was analyzed through in-depth interview and surveys of the customer experience and user experience of earphones. The results of the study were common or characteristic. They are user experience based on brand dependency, sharing experiences and seeking simplified design and convenience, which is related with the lifestyle of the generation Z. This study is expected to be a fundamental study of product research and marketing strategies that will take advantage of the characteristics of Generation Z, who will be the main player of the market in the future.

• Journal of Digital Contents Society
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• v.18 no.3
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• pp.535-542
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• 2017

The ubiquitous computing made it happen to easily take cognizance of context, which includes user's location, status, behavior patterns and surrounding places. And it allows providing the catered service, designed to improve the quality and the interaction between the provider and its customers. The personalized recommendation service needs to obtain logical reasoning to interpret the context information based on user's interests. We researched a model that connects to the practical value to users for their daily life; information about restaurants, based on several mobile contexts that conveys the weather, time, day and location information. We also have made various approaches including the accurate rating data review, the equation of Naïve Bayes to infer user's behavior-patterns, and the recommendable places pre-selected by preference predictive algorithm. This paper joins a vibrant conversation to demonstrate the excellence of this approach that may prevail other previous rating method systems.

• The KIPS Transactions:PartB
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• v.8B no.5
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• pp.485-492
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• 2001

Recently, character agents are used as a user-friendly interface. In this paper, we have studied a generic framework for emotional character agents which are designed to infer emotions from diverse personalities, situations, user behaviors and to express them. The method of emotion inference is based on blackboard systems which are used to solve the problems in AI. Because it keeps independence between knowledge sources which are rules of emotions, a blackboard-based inference engine is easy to manage knowledge sources, Blackboard-based systems gave the system flexibility. So we can adapt the engine to various application systems. Each emotional agent monitors user behavior, learns user profile and infers user behavior. And it generates characters emotions according to the user profile. So, in case of same situations, the agent can generate different emotions according to users. We have studied to build an personalized emotional character agent which according to situations and user modeling.

• Journal of Broadcast Engineering
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• v.18 no.5
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• pp.749-757
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• 2013

This study aims to find out the influences of user behavior, content characteristics, functional factors and user's perception in cost on user satisfaction and continuous intention in N-Screen service. Web survey was conducted for 498 users who have used N screen service. The results show that the most influential factor contributing to user satisfaction is user interface. VOD diversity, payment system, cost, channel diversity are also meaningful factors. Identifying the critical factors which impact on user satisfaction, this study can provide the basic data for activating OTT service in smart media environment.

• Archives of design research
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• v.11 no.1
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• pp.109-118
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• 1998

Recently, the importance of user-interface design has been increasing due to the development of electronic and semiconductor technology. Under these surroundings a lot of Approaches that are for the analysis of video sequential data have been developed. The study on the method of analysing various aspects in the use of real product should find the characteristics of users' behavior. Also, the study should include the interaction dffects among these aspects. For these reasons this study proposed an analysis method for the video sequential data of usability test. The study begins with discussing the nature of user-interface through reviewing the various aspects of user-interface. Based on the findings the structure of methods that analyze the characterisics of user's behavior is identified. Thereafter, we developed a computerized tool for analysing video sequential data from usability tests. The tool comprises of four different modules: module for identifying users' profiles, module for video data logging, module for analysing user's characteristics, and module for synthesizing these data for user-interface design. Finally findings are summarized and further research was suggested.

• The Journal of Natural Sciences
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• v.15 no.1
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• pp.111-125
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• 2005

This study aims at reconsidering the spacial structure and suggesting guidelines for campus planning and design with spatial reference to the Campus of PaiChai university, area $208,499m^2$, Taejon. This study is mainly based on user's behavior and physical traces and questionnaire survey. User's behavior and physical traces were carefully observed by 20 students of dept. of landscape architecture at each alloted zone, 6 zones in Campus. Questionnaire survey, consisted of user attitudes, use satisfaction factors and personal items was carried out to 320 persons. As a result, the item of 'rest' shows the highest mean and the item of 'chatting' and 'meeting' follows to utilization purpose. The length of stay is generally 30minute to 1hour. The factor analysis, on the object of 32 items except 4 item, appeared 8 factors: visual elements, activity, vehicle, plants, practicality of street furniture, bench, spacial use and shade.

• Journal of the Korean Society for Library and Information Science
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• v.36 no.4
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• pp.227-244
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• 2002

The purpose of this study lies in analyzing the limitations and weakness of the existing PDL and proposing the principles for the development of a user-oriented PDL. The user group of PDL that we want to develop is university students. To this end, we investigate the information seeking behavior of the sampled user group, especially, their information needs, information use patterns, and information management patterns. Based on the results, we conceptually propose the systems specifications which the university students wish to be included in the PDL.

• Management & Information Systems Review
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• v.26
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• pp.91-116
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• 2008

This study demonstrates some major traits of digital contents as information, playfulness, individuality, as satisfaction and commitment, user behavior as use intention. To make an empirical analysis the study, it is hypothesized that traits of digital contents, relationship quality, and user behavior. The major finding of this study can be summarized as follows, traits of digital contents are positively affected by satisfaction in relationship quality and use intention. Theoretical implication of this study are as follows. First, users wanted to choice only needed information. Second, users recognized digital contents as a part of life. So, user's ability is very important in this environment. According to this, business related with or interested in digital contents must have developed digital contents in variety aspect. Users must have concerned using digital contents, also.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.4
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• pp.1887-1898
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• 2018

In this paper, a method to classify insider threat activity is introduced. The internal threats help detecting anomalous activity in the procedure performed by the user in an organization. When an anomalous value deviating from the overall behavior is displayed, we consider it as an inside threat for classification as an inside intimidator. To solve the situation, Markov Chain Model is employed. The Markov Chain Model shows the next state value through an arbitrary variable affected by the previous event. Similarly, the current activity can also be predicted based on the previous activity for the insider threat activity. A method was studied where the change items for such state are defined by a transition probability, and classified as detection of anomaly of the inside threat through values for a probability variable. We use the properties of the Markov chains to list the behavior of the user over time and to classify which state they belong to. Sequential data sets were generated according to the influence of n occurrences of Markov attribute and classified by machine learning algorithm. In the experiment, only 15% of the Cert: insider threat dataset was applied, and the result was 97% accuracy except for NaiveBayes. As a result of our research, it was confirmed that the Markov Chain Model can classify insider threats and can be fully utilized for user behavior classification.