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Area of Science:

  • Visual perception
  • Neuroscience
  • Human spatial orientation

Background:

  • Accurate heading estimation from optic flow is vital for human spatial perception.
  • Previous studies show inconsistent biases in heading estimates (center vs. peripheral bias).

Purpose of the Study:

  • To investigate the cause of conflicting results in human heading estimation studies.
  • To determine if response range size influences heading estimates.
  • To develop a model explaining heading estimation variability.

Main Methods:

  • Conducted three psychophysical experiments with varying response ranges.
  • Analyzed heading estimates based on optic flow patterns.
  • Developed and tested a Bayesian heading estimation model.

Main Results:

  • Heading estimates monotonically scaled with the size of the response range.
  • Underestimation occurred with small response ranges; overestimation with large ranges.
  • Neither optic flow speed nor response method significantly affected estimates.

Conclusions:

  • Conflicting heading estimation biases stem from response range size, not inherent perceptual differences.
  • Human heading perception aligns with efficient Bayesian inference.
  • A perception-action model accurately predicts heading reports based on response mapping.