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Research ArticleNew Research, Sensory and Motor Systems

Eye Tracking of Occluded Self-Moved Targets: Role of Haptic Feedback and Hand-Target Dynamics

Frederic Danion, James Mathew and J. Randall Flanagan
eNeuro 26 June 2017, 4 (3) ENEURO.0101-17.2017; https://doi.org/10.1523/ENEURO.0101-17.2017
Frederic Danion
1Aix Marseille Univ, CNRS, Institut de Neurosciences de la Timone, Marseille, France
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James Mathew
1Aix Marseille Univ, CNRS, Institut de Neurosciences de la Timone, Marseille, France
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J. Randall Flanagan
2Department of Psychology and Centre for Neurosciences Studies, Queen’s University, Kingston, ON, Canada
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    Figure 1.

    Photographs of the experimental setup. A, Overview of the experimental setup. Red dot indicates target position when the laser is on. B, The grasped object and the lightweight robotic device. C, The laser and optical scanner. See text for more details.

  • Figure 2.
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    Figure 2.

    Typical trials performed by the same subject in each experimental condition. Vertical dotted line indicates the moment of target occlusion. Note the progressive drift in the temporal coupling between eye and target, and the larger contribution of saccades.

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    Figure 3.

    Contribution of saccades and smooth pursuit as a function of experimental condition and time in the vicinity of target occlusion. A, Percentage of total distance covered by smooth pursuit. B, Gain of smooth pursuit velocity. Error bars represent SE; vertical dotted lines denote the initiation of target occlusion; numbers circled (in red or black) denote the numbering of each bin (following the rationale described in Materials and Methods).

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    Figure 4.

    Spatial accuracy of eye tracking as a function of experimental condition and time in the vicinity of target occlusion. A, Position error. B, Velocity error between eye and target. Error bars represent SE; vertical dotted lines denote the initiation of target occlusion. Note how the detrimental effects of target blanking are reduced by the provision of haptic feedback under Spring. The numbers circled (in red or black) denote the numbering of each bin.

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    Figure 5.

    Temporal accuracy of eye tracking as a function of experimental condition and time in the vicinity of target occlusion. A, Coefficient of correlation between eye and target. B, Temporal lag between eye and target. A negative lag indicates that the eye precedes the target. C, Temporal lag between eye and hand. A negative lag indicates that the eye precedes the hand. Error bars represent SE; vertical dotted lines denote the initiation of target occlusion; numbers circled (in red or black) denote the numbering of each bin. Note how the detrimental effects of target blanking are reduced by the provision of haptic feedback under Spring.

  • Figure 6.
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    Figure 6.

    Percentage of total distance covered by smooth pursuit as a function of experimental condition and time in the vicinity of target occlusion. This figure compares the performance of two groups of participants that tracked either a self-moved target or an externally moved one. See text for more details. Error bars represent SE; vertical dotted line denotes the initiation of target occlusion; numbers circled (in red or black) denote the numbering of each bin.

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eneuro: 4 (3)
eNeuro
Vol. 4, Issue 3
May/June 2017
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Eye Tracking of Occluded Self-Moved Targets: Role of Haptic Feedback and Hand-Target Dynamics
Frederic Danion, James Mathew, J. Randall Flanagan
eNeuro 26 June 2017, 4 (3) ENEURO.0101-17.2017; DOI: 10.1523/ENEURO.0101-17.2017

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Eye Tracking of Occluded Self-Moved Targets: Role of Haptic Feedback and Hand-Target Dynamics
Frederic Danion, James Mathew, J. Randall Flanagan
eNeuro 26 June 2017, 4 (3) ENEURO.0101-17.2017; DOI: 10.1523/ENEURO.0101-17.2017
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Keywords

  • smooth pursuit
  • prediction
  • eye-hand coordination
  • internal models
  • Hand-Target Mappings
  • Target Occlusion
  • Haptic Feedback

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