Abstract
It is predicted that the opportunities for workers to collaborate with industrial robots specialty in collaboration (collaborative robot) will increase in the future. We believe that detailed clarification of quantification indices on the worker side regarding collaboration between industrial robots and workers will lead to smoother and more rewarding collaborative work for the workers. In this presentation, we introduce a method for quantifying and analyzing the characteristics of individual worker behavior as a behavioral topography by capturing the worker's movements in the work environment and in their interactions with industrial robots that perform the same tasks. When studying the relationship between industrial robots and worker collaboration, industrial safety behavior analysis studies may be used to help analyze how industrial robots are related to worker behavior as environmental stimuli for workers, rather than just numerical values such as the number of tasks completed or the speed of work. Behavioral topography of workers is easily available using visual inspection of data such as scatter plot.
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