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Audio-visual feedback improves the BCI performance in the navigational control of a humanoid robot

Tidoni, Emmanuele; Gergondet, Pierre; Kheddar, Abderrahmane; Aglioti, Salvatore M.

Authors

Pierre Gergondet

Abderrahmane Kheddar

Salvatore M. Aglioti



Abstract

Advancement in brain computer interfaces (BCI) technology allows people to actively interact in the world through surrogates. Controlling real humanoid robots using BCI as intuitively as we control our body represents a challenge for current research in robotics and neuroscience. In order to successfully interact with the environment the brain integrates multiple sensory cues to form a coherent representation of the world. Cognitive neuroscience studies demonstrate that multisensory integration may imply a gain with respect to a single modality and ultimately improve the overall sensorimotor performance. For example, reactivity to simultaneous visual and auditory stimuli may be higher than to the sum of the same stimuli delivered in isolation or in temporal sequence. Yet, knowledge about whether audio-visual integration may improve the control of a surrogate is meager. To explore this issue, we provided human footstep sounds as audio feedback to BCI users while controlling a humanoid robot. Participants were asked to steer their robot surrogate and perform a pick-and-place task through BCI-SSVEPs. We found that audio-visual synchrony between footsteps sound and actual humanoid's walk reduces the time required for steering the robot. Thus, auditory feedback congruent with the humanoid actions may improve motor decisions of the BCI's user and help in the feeling of control over it. Our results shed light on the possibility to increase robot's control through the combination of multisensory feedback to a BCI user. © 2014 Tidoni, Gergondet, Kheddar and Aglioti.

Journal Article Type Article
Publication Date Jun 17, 2014
Journal Frontiers in Neurorobotics
Print ISSN 1662-5218
Electronic ISSN 1662-5218
Publisher Frontiers Media
Peer Reviewed Peer Reviewed
Volume 8
Issue JUN
Article Number 20
APA6 Citation Tidoni, E., Gergondet, P., Kheddar, A., & Aglioti, S. M. (2014). Audio-visual feedback improves the BCI performance in the navigational control of a humanoid robot. Frontiers in Neurorobotics, 8(JUN), https://doi.org/10.3389/fnbot.2014.00020
DOI https://doi.org/10.3389/fnbot.2014.00020
Keywords Brain computer interface; SSVEPs; Sense of agency; Humanoid; Teleoperation; Motor control
Publisher URL https://www.frontiersin.org/articles/10.3389/fnbot.2014.00020/full

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Copyright Statement
© 2014 Tidoni, Gergondet, Kheddar and Aglioti. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.



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