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

Overview of attention for article published in Frontiers in Neurorobotics, June 2014
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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100 Mendeley
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Article details
Title
Audio-visual feedback improves the BCI performance in the navigational control of a humanoid robot
Published in
Frontiers in Neurorobotics, June 2014
DOI 10.3389/fnbot.2014.00020
Pubmed ID
Authors
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.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 2%
Japan 1 1%
Hungary 1 1%
Germany 1 1%
Brazil 1 1%
Austria 1 1%
Unknown 93 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 20 20%
Student > Master 14 14%
Researcher 12 12%
Student > Doctoral Student 8 8%
Student > Bachelor 5 5%
Other 15 15%
Unknown 26 26%
Readers by discipline
Readers by discipline Count As %
Engineering 26 26%
Computer Science 10 10%
Psychology 10 10%
Neuroscience 9 9%
Medicine and Dentistry 5 5%
Other 11 11%
Unknown 29 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 May 2015.
All research outputs
#9,472,236
of 32,549,303 outputs
Outputs from Frontiers in Neurorobotics
#192
of 1,221 outputs
Outputs of similar age
#75,909
of 265,331 outputs
Outputs of similar age from Frontiers in Neurorobotics
#1
of 6 outputs
Altmetric has tracked 32,549,303 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,221 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 265,331 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them