• Journal of Information Science Theory and Practice
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• 제8권1호
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• pp.45-55
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• 2020

The purpose of this work was to study library website users' actions by tracking their behavior, determining popular content, and identifying browsing patterns and subsequent improvement of access to popular content. The study of behavior models and the use of web analytics has led to the emergence of solutions that improve the usability and functionality of the State Public Scientific-Technological Library of the Siberian Branch of the Russian Academy of Sciences (SPSTL SB RAS) website. These are: identifying user tasks as they are developed, conducting user testing to better understand the event. tracking data and collecting additional data to verify the effectiveness of the changes made. Examining data on the duration of the session and the number of visits will help determine the goals of user visits and develop new recommendations. Usability analysis and testing will make it possible to compare the data obtained using web analytics and the perception of the library site by the users themselves. Recommendations are offered to libraries on the use of data on the real behavior of the target audience of the library website to improve access to library resources and services, increase their relevance and improve information services.

• 디지털산업정보학회논문지
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• 제12권1호
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• pp.119-129
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• 2016

Rapid changes to the paradigm of smart media have created a communication environment through merging with various media such as IoT technology, which is internet of things. Among them, user' need for a start home, which is one of people living conditions, has been growing and values of the communication environment in a living space using a smart mirror have been growing. However, studies on figuring out behavior and analyzing needs of family members who actually use the living space are insufficient. This study is to draw the service system of the home smart mirror by analysis of behavior and needs of users of the living space. For a research method for analysis of behavior of family members, I wrote two kinds of user's experience maps, which are frequency of use of a quantitative space of a living space and space's important value scales by persona study and depth interview. Through this, applied spaces of the home smart mirror (living room, bathroom, powder room, dress room, porch, kitchen, room) and the types of user needs (type of providing information, entertainment type, control type, service type) have been drawn and statistical analysis methodology has been utilized for a research of user preferences in regard to correlation between living spaces and types of user needs based on a survey. As a result of analysis of ages and gender, types of user needs by space have been drawn and the service system of the home smart mirror has been drawn. It would be utilized as a basic material for various contents development and design using the smart mirror in the future.

• 한국멀티미디어학회논문지
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• 제17권11호
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• pp.1335-1344
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• 2014

In architectural design, the user is one of the most important factors for the design task as well as the standard for evaluating the value of the built environment after its construction. Recently, accidents, such as fires and breakdowns, in huge and complicated buildings have increased the importance of user behavior simulation. The Korean government has tried to establish a regulation for the prevention of accidents in the built environment. This is regarded as a significant step forward for providing a safer and more appropriate environment for users. However, the existing technologies related to analyzing user behavior only simulate simplified situations. Such simulations are not enough to evaluate accurately the designed alternatives because buildings and spaces contain more complicated information than what we have conventionally considered. Thus, we propose that the advanced agent can interact with the architectural context. It can understand not only the physical situation but also how the users affect this situation. In order to realize this, we adopted the concept of affordances as the perceived action possibilities for the simulation environment.

• Journal of Information Processing Systems
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• 제15권3호
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• pp.645-654
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• 2019

The purpose of this study was to collect and analyze personal bio data and social network services (SNS) data, derive user preference and user life pattern, and propose intuitive and precise user modeling. This study not only tried to conduct eye tracking experiments using various smart devices to be the ground of the recommendation system considering the attribute of smart devices, but also derived classification preference by analyzing eye tracking data of collected bio data and SNS data. In addition, this study intended to combine and analyze preference of the common classification of the two types of data, derive final preference by each smart device, and based on user life pattern extracted from final preference and collected bio data (amount of activity, sleep), draw the similarity between users using Pearson correlation coefficient. Through derivation of preference considering the attribute of smart devices, it could be found that users would be influenced by smart devices. With user modeling using user behavior pattern, eye tracking, and user preference, this study tried to contribute to the research on the recommendation system that should precisely reflect user tendency.

• Journal of Multimedia Information System
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• 제6권4호
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• pp.179-184
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• 2019

This paper introduces a study for procedurally generating the behavior of objects in a virtual environment at runtime. This study was initiated to enable the behavioral model of objects in virtual reality applications to evolve in response to user behavior at runtime. Our approach is to describe the behavior of an object as a behavior tree, and to make a node of the behavior tree change to another type if a certain condition is satisfied. We defined four types of node changes: "parameterized", "probabilistic", "alternate", and "variant". We experimented with a virtual environment that includes a variety of simple procedural elements to explore the possibilities of our approach. As a result of the implementation, if an optimization algorithm that can select and apply the optimized procedural elements in response to the user's behavior is complemented, it is confirmed that more intelligent objects and agents can be implemented in virtual reality applications.

• 한국실내디자인학회논문집
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• 제13권6호
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• pp.48-56
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• 2004

The Affordance, discussed in the theory of ecological perception of environmental psychology, is the concept of perception that deals with inter-relationship between environment and human. It is a theory seeking for gradual evolution, with the change of user experience behavior and the space, by getting feed-backs from the analysis of perception of characteristics of 3-dimensional space and the user as moving entity. Although there has been many attempts to define the Affordance and apply its concept to the architecture, now there's a need to identify the Affordance in the real architectural space, represent Affordance of space and the user inter-relationship in the architecture and apply its design specifically, Thus, the purpose of this study is to present the methodology of applying Affordance in architectural space design by identifying the Affordance of space concept of human experience behavior in the architectural space and analyze its recognition process.

• 한국통신학회논문지
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• 제35권8B호
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• pp.1150-1158
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• 2010

At present multimedia service composed of voice, data, and video service is prevalent in the Internet. As such, wide-scale penetration of Internet service imposes tremendous pressure to the network infrastructure such as the media servers and links as well as the nodes. In addition, users from a large-scale population require broad bandwidth and high level of QoS. This requires a network with reliable and scalable services to customers, which also necessitates a realistic method for the design of the a media server. In this work, we explore the influence of user's behavior about delay on the performance of media server that takes into account the system and user attributes in a realistic manner. By incorporating user's behavior about the delay-sensitivity, we present an analytic framework for the evaluation of the performance of the media server, via which we illustrate a meaningful intuition in the provision of Internet multimedia service.

• 디지털산업정보학회논문지
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• 제18권4호
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• pp.85-96
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• 2022

Personalized recommendation technology is one of the most important technologies in electronic commerce environment. It helps users overcome information overload by suggesting information that match user's interests. In e-commerce environment, both mobile device users and smart device users have risen dramatically. It creates new challenges. Our method suggests product information that match user's device interests beyond only user's interests. We propose a device-centered personalized recommendation method. Our method uses both purchase and share behavior for user's devices interests. Moreover, it considers data type preference for each device. This paper presents a new recommendation method and algorithm. Then, an e-commerce scenario with a computer, a smartphone and an AI-speaker are described. The scenario shows our work is better than previous researches.

• Journal of Information Science Theory and Practice
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• 제2권2호
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• pp.33-47
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• 2014

Mobile devices are the most important equipment for accessing various kinds of services. These services are accessed using wireless signals, the same used for mobile calls. Today mobile services provide a fast and excellent way to access all kinds of information via mobile phones. Mobile service providers are interested to know the access behavior pattern of the users from different locations at different timings. In this paper, we have introduced an associated tree for analyzing user behavior patterns while moving from one location to another. We have used four different parameters, namely user, location, dwell time, and services. These parameters provide stronger frequent accessing patterns by matching joins. These generated patterns are valuable for improving web services, recommending new services, and predicting useful services for individuals or groups of users. In addition, an experimental evaluation has been conducted on simulated data. Finally, performance of the proposed approach has been measured in terms of efficiency and scalability. The proposed approach produces excellent results.

• 한국문헌정보학회지
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• 제48권2호
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• pp.201-220
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• 2014

본 연구는 국립중앙도서관 디지털도서관 정보광장 이용자를 대상으로 이용자만족도 설문조사를 통하여, 현재 정보광장의 서비스가 이용자의 만족도를 얼마나 성취하고 있는가를 분석하고, 도서관의 공간별 이용행태를 분석하였다. 이용자만족도는 정보광장 11개 공간/시설에 대해 이용자들이 지각하는 전반적인 만족도를 측정할 수 있게 하였으며, 각 공간별 이용자의 특성을 살펴보았다. 또한 정보광장 개관 이후 실시된 이용자만족도와 현재 이용자 만족도의 점수를 비교 분석하였다. 분석결과 정보광장에 대한 이용자의 전반적인 만족도는 개관 이래 큰 변화 없이 지속적으로 높게 나타났으며, 특히 정보광장의 공간 중 '디지털열람실'의 만족도 점수가 83.8점으로 가장 높았으며, 'UCC 스튜디오'의 만족도가 70.8점으로 가장 낮게 나타났다.