Determining the Important Subjective Criteria in the Perception of Human-Like Robot Movements Using Virtual Reality

Olivier Hugues 1 Vincent Weistroffer 1 Alexis Paljic 1 Philippe Fuchs 1 Ahmad Abdul Karim 2 Thibaut Gaudin 2 Axel Buendia 3, 2
1 CAOR - Centre de Robotique
2 SPIROPS - SPIR.OPS
3 CEDRIC - Centre d'études et de recherche en informatique et communications
Abstract : This paper deals with the design and the evaluation of human-like robot movements. Three criteria were proposed and evaluated regarding their impact on the human-likeness of the robot movements: The inertia of the base, the inertia of the end-effector and the velocity profile. A specific tool was designed to generate different levels of anthropomorphism according to these three parameters. An industrial use case was designed to compare several robot movements. This use case was implemented with a virtual robot arm in a virtual environment, using virtual reality. A user study was conducted to determine what were the important criteria in the perception of human-like robot movements and what were their correlations with other notions such as safety and preference. The results showed that inertia on the end-effector was of most importance for a movement to be perceived as human-like and nonaggressive, and that those characteristics helped the users feel safer, less stressed and more willing to work with the robot.
Keywords : virtual reality robot movements human-like movements Human–robot interaction
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Journal articles
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https://hal.archives-ouvertes.fr/hal-01255692
Contributor : Olivier Hugues <>
Submitted on : Wednesday, January 13, 2016 - 6:45:33 PM
Last modification on : Saturday, February 9, 2019 - 1:25:15 AM

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INSTITUT-TELECOM | ENSMP | ENSMP_CAOR | PARISTECH | PSL | UNIV-HESAM

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Olivier Hugues, Vincent Weistroffer, Alexis Paljic, Philippe Fuchs, Ahmad Abdul Karim, et al.. Determining the Important Subjective Criteria in the Perception of Human-Like Robot Movements Using Virtual Reality. International Journal of Humanoid Robotics, World Scientific Publishing, 2015, 〈10.1142/S0219843615500334〉. 〈hal-01255692〉

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