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Related Experiment Video

Updated: Oct 11, 2025

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Panoramic Uncertainty in Vertical Perception.

Janny C Stapel1,2, W Pieter Medendorp1

  • 1Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, Netherlands.

Frontiers in Integrative Neuroscience
|December 6, 2021
PubMed
Summary
This summary is machine-generated.

The rod-and-frame effect shows how surrounding frames influence visual line judgments. Frame certainty impacts this bias, with clearer frames causing larger effects on orientation perception.

Keywords:
Bayesianmultisensory integration (MSI)rod-and-framesubjective visual vertical (SVV)vestibularvision

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Area of Science:

  • Visual perception
  • Human psychophysics
  • Computational neuroscience

Background:

  • The rod-and-frame effect (RFE) demonstrates how surrounding visual cues bias orientation judgments.
  • Panoramic visual cues significantly influence the perception of visual line orientation relative to vertical.

Purpose of the Study:

  • To investigate how frame orientation uncertainty affects the rod-and-frame effect.
  • To explore the impact of frame shape (circular, squared, squircles) on RFE magnitude.
  • To analyze the relationship between frame cue reliability and reliance on visual cues for vertical perception.

Main Methods:

  • Participants (upright or tilted) performed psychometric judgments of a briefly flashed rod's orientation.
  • Rods were presented within circular, squared, or squircular frames at various orientations.
  • Frame shape and orientation were systematically varied to assess their influence on the RFE.

Main Results:

  • A cyclical modulation of frame-induced bias was observed across different frame orientations.
  • The magnitude of the RFE increased with the 'squaredness' of the frame.
  • Frame orientation reliability directly correlated with the degree of reliance on frame cues for rod orientation judgments.

Conclusions:

  • Perception of vertical is influenced by a flexible integration of visual and non-visual cues.
  • The reliability of visual panoramic cues modulates their contribution to orientation perception.
  • A Bayesian optimal integration model explains the adaptive weighting of visual cues based on their orientation reliability.