• Transactions of the Korean Society of Automotive Engineers
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• v.3 no.6
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• pp.199-211
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• 1995

As international market pressures increase, product life cycles are becoming shorter at same time requirements for productivity and flexibility are becoming higher. Major improvement in robot programming user interface is central to increasing productivity and flexibility for automatic manufacturing environments. New computer technologies have the potential to accomplish this improvement. In this study we have developed a system which proves that interactive computer graphics and geometric modeling have matured to the point where their artful application into an integrated system can rsult in radically new and powerful user interface for robot programming. With the graphic user interface environment the system efficiently utilizes the existing CAD data and gemetric modeling techniques for off-line programming and simulations. Also the system successfully generates robot control programs performing the desired tasks given through off-line programming.

• Science of Emotion and Sensibility
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• v.19 no.4
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• pp.13-20
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• 2016

Recently, life-logging service which has expanded to measure and record the daily life of the users and to share with others are increasing. In particular, as life-logging services based on the application has become popular with the development of wearable-devices and smart-phones, the contents of this service are produced by user behavior and are provided in infographic menu form. The purpose of this paper is to extract user behavior and classify for making contents items of life-logging service. For this paper, the first of all, we discuss the definition and characteristics of life-logging and research the contents based on user behavior related to life-logging by the publications including thesis, articles, and books. Secondly, we extract and classify the user behavior to build the contents for life-logging service. We gather users' action words from publication materials, researches, and contents of existing life-logging service. And then collected words are analyzed by FGI (Focus Group Interview) and survey. As the result, 39 words which suit for contents of life-logging service are extracted by verify suitability. Finally, the extracted 39 words are classified for 19 categories -'Eat', 'Keep house', 'Diet', 'Travel', 'Work out', 'Transit', 'Shoot', 'Meet', 'Feel', 'Talk', 'Care for', 'Drive', 'Listen', 'Go online', 'Sleep', 'Go', 'Work', 'Learn', 'Watch' - which are suggested by the surveys, statistical analysis, and FGI. We will discuss the role and limitations of this results to build contents configuration based on life-logging application in this study.