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

Matilde Antonj, Joshua Zonca, Francesco Rea, Alessandra Sciutti

Year
2023
Citations
3
Access
Open access

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.

Keywords

iCubPerceptionComputer scienceHuman–computer interactionTask (project management)Adaptation (eye)Human–robot interactionRobotArtificial intelligenceRealization (probability)

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