Human perception and motion are continuously influenced by prior experience. However, when humans have to share the same space and time, different previous experience could lead towards opposite percepts and actions, consequently failing in coordination. This study presents a novel experimental setup that aims at exploring the interplay between human perceptual mechanisms and motor strategies during human-robot interaction. To achieve this goal, we developed a complex system to enable the realization of an interactive perceptual task, where the participant has to perceive and estimate temporal durations together with iCub, with the goal of coordinating with the robotic partner. Results show that the experimental setup continuously monitor how participants implement their perceptual and motor behavior during the interaction with a controllable interacting agent. Therefore, it will be possible to produce quantitative models describing the interplay between perceptual and motor adaptation during an interaction.

Antonj, M., Zonca, J., Rea, F., Sciutti, A. (2023). A Controllable and Repeatable Method to Study Perceptual and Motor Adaptation in Human-Robot Interaction. In 18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023 (pp.188-192). IEEE Computer Society [10.1145/3568294.3580069].

A Controllable and Repeatable Method to Study Perceptual and Motor Adaptation in Human-Robot Interaction

Zonca, J;
2023

Abstract

Human perception and motion are continuously influenced by prior experience. However, when humans have to share the same space and time, different previous experience could lead towards opposite percepts and actions, consequently failing in coordination. This study presents a novel experimental setup that aims at exploring the interplay between human perceptual mechanisms and motor strategies during human-robot interaction. To achieve this goal, we developed a complex system to enable the realization of an interactive perceptual task, where the participant has to perceive and estimate temporal durations together with iCub, with the goal of coordinating with the robotic partner. Results show that the experimental setup continuously monitor how participants implement their perceptual and motor behavior during the interaction with a controllable interacting agent. Therefore, it will be possible to produce quantitative models describing the interplay between perceptual and motor adaptation during an interaction.
slide + paper
adaptation; Human-robot interaction; kinematics; perception;
English
18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023 - 13 March 2023through 16 March 2023
2023
18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023
9781450399708
2023
188
192
none
Antonj, M., Zonca, J., Rea, F., Sciutti, A. (2023). A Controllable and Repeatable Method to Study Perceptual and Motor Adaptation in Human-Robot Interaction. In 18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023 (pp.188-192). IEEE Computer Society [10.1145/3568294.3580069].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/467077
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