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Communication Dans Un Congrès Année : 2022

A New Methodological Approach to Analyze Human Roles in Human-Robot Interaction Scenarios

Résumé

The influence of robotics in the job market has socioeconomic consequences and the inevitable loss of job positions, but in the Human-Robot Interaction (HRI) scenarios, where humans and robots work together, new jobs and business models will be created. These HRI scenarios can be seen in manufacturing, medicine, maintenance, education, etc. and in the future, in most of the daily tasks. The purpose of this article is to analyze from the perspective of Human-Robot Interaction scenarios, which new HRI human roles and HRI tasks categories has to be taken into account. The new HRI human roles will serve to define and homogenize the transverse skills needed for workers working in HRI scenarios and for analyzing the human roles in robotic experiments. We introduce a methodological approach using the TERRINet HRI Template, which facilitates the analysis of tasks that in the near future will be done by humans working with robots. The Template has been used and tested in 20 study cases of HRI scenarios, validating the methodology and looking for homogenization in human roles.
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Dates et versions

hal-03758090 , version 1 (22-08-2022)

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Citer

A Puig-Pey, A Sanfeliu, C Leroux, P Dario, R Rasso, et al.. A New Methodological Approach to Analyze Human Roles in Human-Robot Interaction Scenarios. IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO 2022), May 2022, Long Beach, CA, United States. ⟨10.1109/ARSO54254.2022.9802978⟩. ⟨hal-03758090⟩
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