Effect of External Force on Agency in Physical Human-Machine Interaction

Satoshi Endo, Jakob Fröhner, Selma Musić, Sandra Hirche, Philipp Beckerle

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

In the advent of intelligent robotic tools for physically assisting humans, user experience, and intuitiveness in particular have become important features for control designs. However, existing works predominantly focus on performance-related measures for evaluating control systems as the subjective experience of a user by large cannot be directly observed. In this study, we therefore focus on agency-related interactions between control and embodiment in the context of physical human-machine interaction. By applying an intentional binding paradigm in a virtual, machine-assisted reaching task, we evaluate how the sense of agency of able-bodied humans is modulated by assistive force characteristics of a physically coupled device. In addition to measuring how assistive force profiles influence the sense of agency with intentional binding, we analyzed the sense of agency using a questionnaire. Remarkably, our participants reported to experience stronger agency when being appropriately assisted, although they contributed less to the control task. This is substantiated by the overall consistency of intentional binding results and the self-reported sense of agency. Our results confirm the fundamental feasibility of the sense of agency to objectively evaluate the quality of human-in-the-loop control for assistive technologies. While the underlying mechanisms causing the perceptual bias observed in the intentional binding paradigm are still to be understood, we believe that this study distinctly contributes to demonstrating how the sense of agency characterizes intuitiveness of assistance in physical human-machine interaction.

Original languageEnglish
Article number114
JournalFrontiers in Human Neuroscience
Volume14
DOIs
StatePublished - 8 May 2020

Keywords

  • agency
  • autonomy
  • haptics
  • human-centered control
  • human-robot interaction
  • shared control

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