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Amber Maimon, PhD

Neuroscience & Human-Computer Interaction (HCI) researcher | Co-head NeuroHCI Research Group



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Amber Maimon, PhD

Research Associate, Co-Head NeuroHCI Research Group, Academic Lab Manager



Computational Psychiatry and Neurotechnology Lab | Human Computer Interaction Lab

Ben Gurion University | University of Haifa




Amber Maimon, PhD

Neuroscience & Human-Computer Interaction (HCI) researcher | Co-head NeuroHCI Research Group



Computational Psychiatry and Neurotechnology Lab | Human Computer Interaction Lab

Ben Gurion University | University of Haifa



Breathe with Me: Synchronizing Biosignals for User Embodiment in Robots


Journal article


I. Wald, Amber Maimon, Shiyao Zhang, Dennis Küster, R. Porzel, Tanja Schultz, Rainer Malaka
IEEE/ACM International Conference on Human-Robot Interaction, 2025

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APA   Click to copy
Wald, I., Maimon, A., Zhang, S., Küster, D., Porzel, R., Schultz, T., & Malaka, R. (2025). Breathe with Me: Synchronizing Biosignals for User Embodiment in Robots. IEEE/ACM International Conference on Human-Robot Interaction.


Chicago/Turabian   Click to copy
Wald, I., Amber Maimon, Shiyao Zhang, Dennis Küster, R. Porzel, Tanja Schultz, and Rainer Malaka. “Breathe with Me: Synchronizing Biosignals for User Embodiment in Robots.” IEEE/ACM International Conference on Human-Robot Interaction (2025).


MLA   Click to copy
Wald, I., et al. “Breathe with Me: Synchronizing Biosignals for User Embodiment in Robots.” IEEE/ACM International Conference on Human-Robot Interaction, 2025.


BibTeX   Click to copy

@article{i2025a,
  title = {Breathe with Me: Synchronizing Biosignals for User Embodiment in Robots},
  year = {2025},
  journal = {IEEE/ACM International Conference on Human-Robot Interaction},
  author = {Wald, I. and Maimon, Amber and Zhang, Shiyao and Küster, Dennis and Porzel, R. and Schultz, Tanja and Malaka, Rainer}
}

Abstract

Embodiment of users within robotic systems has been explored in human-robot interaction, most often in telepresence and teleoperation. In these applications, synchronized visuomotor feedback can evoke a sense of body ownership and agency, contributing to the experience of embodiment. We extend this work by employing embreathment, the representation of the user's own breath in real time, as a means for enhancing user embodiment experience in robots. In a within-subjects experiment, participants controlled a robotic arm, while its movements were either synchronized or non-synchronized with their own breath. Synchrony was shown to significantly increase body ownership, and was preferred by most participants. We propose the representation of physiological signals as a novel interoceptive pathway for human–robot interaction, and discuss implications for telepresence, prosthetics, collaboration with robots, and shared autonomy.



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