• Journal of the Korean Society for information Management
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• v.24 no.2
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• pp.71-87
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• 2007

With the rapid change of the Web and E-transaction application, the search interface is providing more powerful search and visualization methods, while offering smoother integration of technology with task. Especially, visualization techniques for long menu-lists are applied in retrieval system with the goal of improving performance in user's ability to select one item from a long list. In order to review visualization techniques appropriate to the types of users and data set, this study compared the five visualization browsers such as the Tree-structured menu, the Table-of-contents menu, the Roll-over menu, the Click menu, and Fisheye menu. The result of general analyses shows that among the hierarchical methods, the experienced group prefers the Table-of-contents method menu, whereas the novice's group prefers the Tree-structure method menu. Among the linear methods, the two groups prefer the Roll-over menu. The Roll-over menu is most preferred among the five browsers by the two groups.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.584-589
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• 2008

The in put system using the touch screen directly makes the input signals by the contact on the screen without the assistance of peripherals such as a pen or hands. These kinds of input systems using the flexible hands is maximizing suppleness and intuition of the input rather than those systems using a keyboard or a mouse which are moving a cursor or typing a word. However, using hands for an input may give rise to a mistake in control. And there are few interfaces utilizing the touch screen. Incorrectness and insufficiency of the interface are the weak point of the touch screen systems. In this paper, we propose the dial menu user interface for the mobile devices using touch screen for an efficient input. In this method, it consists of 2 states(Inactive states, Active states) and 4 actions(Rotation, Zoom in, and Zoom out, and Click). The intuitive control utilizing the suggested method overcomes the incorrect pointing, weak point of the touch screen system, and boosts the searching menu by utilizing the drag function of the touch screen.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.10
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• pp.2316-2322
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• 2012

The present study investigates a standardized framework for support system of ship design engineering. The purpose of this research is to improve the efficiency of information gathering and its use in tasks of the ship design engineering support system. Due to their variety and complexity, the existing engineering methods tend to waste time in searching for the standardized method and knowledge or to cause errors on tasks. Generally, these kinds of system have serious problems. The most serious one among them is that the existing system consists of both useful and useless data. This finally leads engineers to a failure in finding out useful information from the system. We have designed a standardized framework, which enables users to properly recompose the menu form depending on the task process, simplifies the methods at several process levels, and provides a more intuitive method in user interface environment in order to resolve the existing problems, minimize the system-operating costs, and improve the efficiency of engineering tasks.

• Journal of the Korea Computer Graphics Society
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• v.27 no.5
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• pp.81-89
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• 2021

This study proposes a text interface for support of language-based educational contents in a mobile platform environment. The proposed interface utilizes deep learning as an input structure to write words through handwriting. Based on GUI (Graphical User Interface) using buttons and menus of mobile platform contents and input methods such as screen touch, click, and drag, we design a text interface that can directly input and process handwriting from the user. It uses the EMNIST (Extended Modified National Institute of Standards and Technology database) dataset and a trained CNN (Convolutional Neural Network) to classify and combine alphabetic texts to complete words. Finally, we conduct experiments to analyze the learning support effect of the interface proposed by directly producing English word education contents and to compare satisfaction. We compared the ability to learn English words presented by users who have experienced the existing keypad-type interface and the proposed handwriting-based text interface in the same educational environment, and we analyzed the overall satisfaction in the process of writing words by manipulating the interface.