• Journal of Broadcast Engineering
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• v.12 no.2
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• pp.71-79
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• 2007

This study is about the TV Electronic Program Guide (EPG) design to which Perceived Information Architecture (PIA) based on user-experience is applied. The function-oriented information architecture is not friendly for user to search channels, while Multi-channels of EPG system provides users with opportunities to select a variety of channels. Because the menu structure of EPG user interface system is not compatible with the user experience. Therefore, this study presented a user-experience-based methodology and proposed a new solution for the information architecture of user-centered EPG system design.

• Proceedings of the SAREK Conference
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• 2009.06a
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• pp.409-414
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• 2009

The SK Chemical R&D center is an eco-friendly building designed as top score in the GBCC(GREEN BUILDING CERTIFICATE CRITERIA). This building has applied various eco-friendly technologies such as energy /water resource cutdown, improvement of indoor quality and improvement of user convenience, etc through eco-friendly concept from the design phase. In this thesis, an economic efficiency evaluation has been performed on building energy cwater resource cutdown technologies among them and the results are as follows. The building energy has cut down about 40% compared to ordinary buildings and the investment recovery period was shown as about 5 years. The water resource has cut down about 63% compared to ordinary buildings and the investment recovery period was shown as about 10 years.

• Genomics & Informatics
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• v.4 no.4
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• pp.170-172
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• 2006

ESTin is an easy-to-use tool that allows EST researchers to build a dbEST submission file with EST sequences and related data. The advantages of ESTin are its user-friendly interface, various editing functions, and rigorous validation function.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.1
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• pp.55-60
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• 2020

Adaptive recommendation systems have been developed with big data processing as a system that provides services tailored to users based on user information and usage patterns. Deep learning can be used in these adaptive recommendation systems to handle big data, providing more efficient user-friendly recommendation services. In this paper, we propose a system that uses deep learning to categorize and recommend tourism types to suit the user's personality. The system was divided into three layers according to its core role to increase efficiency and facilitate maintenance. Each layer consists of the Service Provisioning Layer that real users encounter, the Recommendation Service Layer, which provides recommended services based on user information entered, and the Adaptive Definition Layer, which learns the types of tourism suitable for personality types. The proposed system is highly scalable because it provides services using deep learning, and the adaptive recommendation system connects the user's personality type and tourism type to deliver the data to the user in a flexible manner.

• Archives of design research
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• v.13 no.4
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• pp.105-114
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• 2000

Since the apple company adopted the desktop-office metaphor in Macintosh, the metaphoric interface has been used generally in multimedia products or services, on which user-friendly knowledge, conception, and images are represented metaphorically. Although the metaphor can be employed as one of ways to identify the essence or pattern of information, a theoretical framework on its relation with the user interface is not fully established. In this study, the user interface considered as a core of multimedia design was discussed, and the form of the graphic metaphor was investigated. The seven forms of the graphical metaphor presented herein would be applied as one of approaches to the user interface in relevant researches.

• Archives of design research
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• v.14
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• pp.267-281
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• 1996

One product has so many different kind of user groups and each user group has different characters and needs of use. So, designer has difficulty in definding which group is major or sub in a product, what kind of characters and needs does that group has. In this study, we classify the user upon three factors ; accuracy of rules, speed of action, speed of problem solving and propose design guideline for the classifed user group. The results of this study will be applied to more user-friendly design approach.

• Journal of Cadastre & Land InformatiX
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• v.44 no.1
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• pp.165-177
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• 2014

The KML verification tool supports people who want to produce the highest quality KML file. In other words, it validate that a given KML document is well-formed with respect to XML standard meaning, and conform not only to the KML schema and the specification. Then it's only to notify error code line. People who want to use the KML file written by others would like to know both whether the validity of that file and general summary of feature's location, shape, and number. In this study, we recommended the user-friendly KML validator using OpenLayers and reporting geometries and images of the KML file.

• Journal of the Ergonomics Society of Korea
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• v.17 no.1
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• pp.91-102
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• 1998

History of the Sensibility Ergonomics is explained. Concepts, definition, and research methods on the human sensibility are proposed for systematic applications of human sensibility studies to product and environment developments. Sensibility Ergonomics was born in socio-technological environments where consumers required aesthetic and satisfactory products in addition to useful and usable ones, and manufactures were trying to develop consumer-oriented, user-friendly products. Sensibility Ergonomics is defined as "multi-disciplinary and inter-disciplinary processes for developing products and environment as usable, comfortable and satisfactory with the information on human sensibility." Human sensibility is functionally defined as "feelings generated when perceived sensory and information stimuli are reflected from memory which has been accumulated through personal experiences." Human sensibility is affected by at least three factors: personal, social, and cultural. Consumers evaluate products in three aspects : functional, sensorial, and cultural sensibilities. Human sensibility is personal, dynamic, and ambiguous. It is generated reflectively and intuitively against external stimuli. No Physiological responses are accompanied, and one cannot control his/her sensibility. However, the sensibility affects the decision making or behavior of the person. To understand the human sensibility many inter-disciplinary methods should be used instead of one-variable approach. Micro-scopic studies such as Questionnaire, interview, behavioral analysis, and psychophysiological experiments can be performed. In addition, social and cultural studies are essential to understand an individual's sensibility. Results of sensibility studies can be applied to setup new interactions between human and machine through sensible(or affective) human-machine (computer) interfaces. Human-oriented and user-friendly products can be made with the information on human sensibility.

• Journal of Institute of Control, Robotics and Systems
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• v.17 no.6
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• pp.558-565
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• 2011

Various robot platforms have been designed and developed to perform given tasks in a hazardous environment for surveillance, reconnaissance, search and rescue, etc. We considered a terrain-adaptive and transformable hybrid robot platform that is equipped with rapid navigation capability on flat floors and good performance in overcoming stairs or obstacles. The navigation mode transition is determined and implemented by adaptive driving mode control of the mobile robot. In order to maximize the usability of wheel-track hybrid robot platform, we propose a terrain-adaptive and user-friendly remote controller and verify the efficiency and performance through its navigation performance experiments in real and test-bed environments.

• IE interfaces
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• v.18 no.3
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• pp.317-326
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• 2005

Staff scheduling is an important area, both from an academic and industrial point of view. It has become increasingly important as business becomes more service oriented and cost conscious in a global environment. There has been a lot of study to develop new and efficient staff scheduling models and methods. The purpose of this paper is not to develop new theoretical results but to develop a comprehensive user-friendly staffing model that can be applied to the real-world practice. The developed staffing software, OptStaff, provides the optimal configuration of the customer support center including the selection of customer support center locations, the allocation of staffs to each selected location, and schedules of staffs, so as to minimize the total cost while maximizing the customer satisfaction level. OptStaff also has capability to do scenario analysis by varying the levels of parameters and to create a variety of graphs and reports with user-friendly interfaces.