• International journal of advanced smart convergence
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• v.5 no.4
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• pp.40-47
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• 2016

Journalism robot by using a computer algorithm, while maintaining the precision and reliability of the existing media refers to an article which is automatically created. In this paper, we introduce 'stock robot' of robot journalism which writes securities articles and describe artificial intelligence algorithms in stages. Key steps of stock robot implemented artificial intelligence algorithm through four steps of data collection and storage, key event extraction, article content production, and article production. This research has developed a stock robot that collects and analyzes data on social issues and stock indexes for the last 2 years. In the future, as the algorithm is further developed, it becomes possible to write securities articles quickly and accurately through social issues. It will also provide customized information tailored to the user's preferences.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.2
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• pp.333-336
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• 2020

AI-powered robot news is drawing attention as artificial intelligence technology is fully spread in the news distribution field. Robot news still has many technical and ethical problems, but academic research on this is insufficient. This study analyzes the issue of robot writing in artificial intelligent based robot journalism industry using SWOT analysis. As a result, the advantages of big data processes, accurate information gathering, high efficiency and disadvantages such as lack of independent arguments and lack of evidence and opportunities for technical development, government support, academic development, and industrial applications, and threats such as uncritical acceptance and lack of talent have been found. This study suggests three future-oriented directions, such as human-machine collaboration, intelligent news, and chat-bot, through previous studies on the development direction of robot journalism-based article writing.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.41 no.6
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• pp.543-551
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• 2017

A campus guide robot was developed that can autonomously guide people through a university campus. The robot is able to evaluate its location using Differential Global Positioning System (DGPS) and Dead-Reckoning using the encoders mounted on its wheels. The robot can navigate autonomously along a guide route that is set in advance. A new position-based guidance approach was suggested. Unlike the conventional method of setting the guide sequence in advance, the robot acquires guidance by judging whether there is guide information corresponding to its current position. The robot searches guide information from the guide database while it moves along the guide path autonomously. If there is any guide information available around the location of the robot, then it performs guide functions. We also suggested an effective guide scenario that can maximize the interest of people. The performance of the robot was tested through sets of experiments in a true campus environment.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.37-44
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• 2020

This study aimed to explore the relationship between Intelligent Robot Reacher(IRT)-student by examining the factors of their relationship perceived by middle school students. In doing so, we developed questionnaires based on the existing teacher-student relationship scale and conducted an online survey of 283 first graders in middle school. The collected date were analyzed using exploratory factor analyses with SPSS 23 and confirmatory factor analysis with Amos 21. The study findings identified four factors of IRT-student relationship namely "trust", "competence", "emotional exchange", and "tolerance". It is expected that the study can be used to discuss ways to enhance educationally significant interaction between students-IRT and teaching methods using intelligent robots(IRs). Also, the study will contribute to the understanding and development of various services using IRs. Based on the study finidngs, future studies should investigate the perception of various education stockholders (teachers, parets, etc) on IRT to elevate the Human-Robot Interaction in the education field.