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Related Experiment Video

Updated: Dec 5, 2025

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

Persistent grasping errors produce depth cue reweighting in perception.

Evan Cesanek¹, Jordan A Taylor², Fulvio Domini¹

¹Department of Cognitive, Linguistic, & Psychological Sciences, Brown University, Providence, RI, United States.

Vision Research

|October 18, 2020

Summary

This summary is machine-generated.

Haptic feedback recalibrates motor planning and influences 3D shape perception. Persistent movement errors, not just motor adaptation, drive perceptual reweighting, linking perception and action.

Keywords:

3D shape perception Cue combination Reach-to-grasp Sensorimotor adaptation

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Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

Published on: April 16, 2014

Area of Science:

Neuroscience
Perception
Motor Control

Background:

Haptic feedback recalibrates motor planning for objects of unexpected size.
Haptic feedback influences 3D shape perception via depth cue reweighting.
The relationship between motor and perceptual reweighting remains unclear.

Purpose of the Study:

To investigate if perceptual reweighting is driven by persistent movement errors.
To explore the link between perceptual reweighting and motor control.
To determine if motor adaptation alone can cause cue reweighting.

Main Methods:

Created depth-metamer objects by inversely varying texture and stereo cues.
Participants grasped depth metamers with haptic feedback inducing persistent movement errors.
Compared perceptual matching tasks before and after haptic feedback exposure.

Main Results:

Perceptual changes correlated with grasping performance when haptic feedback reinforced the texture cue.
Cue reweighting did not occur when movement errors were rapidly corrected by motor adaptation.
Demonstrated a link between perceptual reweighting and improved motor control.

Conclusions:

Persistent movement errors, unresolved by motor recalibration, drive perceptual reweighting.
Suggests a mutual dependency where perception guides action, and action errors drive learning.
Highlights that perception directly guides action, with actions generating error signals for learning.