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

Ana Puig-Pey, Alberto Sanfeliu, C. Leroux, Paolo Dario, R. Rasso, B.C. Arrue, Philippe Souères, Farid Dailami, V. Vasco, M. Munih, A. Ijspeert, Wesley Roozing

发表年份
2022
引用次数
2

摘要

The influence of robotics in the job market has socio-economic 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 HRI 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.

关键词

Human–robot interactionRobotComputer scienceHuman–computer interactionPerspective (graphical)Artificial intelligenceRoboticsKnowledge management

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