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Tactile Semiautomatic Passive-Finger Angle Stimulator (TSPAS)
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How haptic size sensations improve distance perception.

Peter W Battaglia1, Daniel Kersten, Paul R Schrater

  • 1BCS and CSAIL, MIT, Cambridge, Massachusetts, United States of America. pbatt@mit.edu

Plos Computational Biology
|July 9, 2011
PubMed
Summary
This summary is machine-generated.

Human distance perception uses size cues, but not optimally. Our models reveal that the brain incorporates haptic size sensations and uses accurate priors for distance judgments, employing a "posterior sampling" method.

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Published on: July 30, 2020

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Area of Science:

  • Cognitive Neuroscience
  • Perception Psychology
  • Computational Vision

Background:

  • Accurate distance perception is crucial for daily tasks.
  • Visual information alone confounds object size and distance, making accurate judgment challenging.
  • The brain's computational mechanisms for distance and size perception remain poorly understood.

Purpose of the Study:

  • To investigate how human distance perception incorporates size cues.
  • To formulate and compare probabilistic models of size and distance perception.
  • To quantitatively determine the best model explaining human distance judgments.

Main Methods:

  • Developed a family of probabilistic models for size and distance perception.
  • Collected human distance judgments in an interception experiment.
  • Utilized Bayesian analysis to compare model predictions against experimental data.

Main Results:

  • Humans integrate haptic size sensations into distance perception.
  • This integration is suboptimal relative to the reliability of haptic information.
  • Perceptual priors for size and distance are environmentally accurate.
  • Distance judgments appear to be generated via perceptual "posterior sampling".

Conclusions:

  • Human distance perception actively incorporates size information, albeit suboptimally.
  • The brain utilizes accurate environmental priors and a "posterior sampling" mechanism.
  • Findings advance understanding of the computational basis of human distance perception and size integration.