There are accidents which worker's lack of attention to a risk factor in cause of human factor. Workers train to improve their risk prediction ability through 4R training method to prevent accidents by lack of risk prediction. The 4R method is learning method that the teacher judge’s worker's answers as right or wrong about risk, which they indicate in the illustration shows in the work. The 4R method aims workers to improve imagination against risk by repetition that workers find risk in the illustration shows in the work. However, there are some problems that workers cannot freely learn alone because there is a restriction which 4R method has to be done with their teacher and other worker. Our research solves these problems to develop digital teacher in our 4R risk prediction training system, which is able to substitute the human teacher in the conventional 4R method. The digital 4R training system helps workers learn spontaneously regardless of time or place even if there is no teacher. The 4R training system realizes same educational way with conventional method by it judge’s worker's answer as right or wrong instead of teacher. In this paper, we propose the way to create content for the education and a method of natural language processing that is questions and answers to judge risk, which a worker answered is correct. In addition, we report about the result of the evaluation experiment.
Hidenori Araki, Okayama University, Japan
Stream: Technology in the Classroom
This paper is part of the ACTC2013 Conference Proceedings (View)
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