Visual Motion Perception

Abstract

In operations of aircraft control or target acquisition, the misperception of motion could produce serious errors in a pilot's performance. Little is known about the human observer's ability to accurately judge the velocity of motion while navigating through an environment containing moving objects or while making eye movements. If we can understand how the perception of motion is affected by the presence of moving objects in the environment or by eye movements, we can then specify viewing requirements based on the perceptual cost/benefits. In this project, the human observer's ability to judge velocity was investigated in two sets of experiments. In the first set of experiments the ability to judge self motion in an environment containing moving objects was investigated using simulated optic flow displays. The effects of object and observer velocity on the ability to discriminate between curvilinear and rectilinear self motion were determined. In the second set of experiments, the ability to judge object velocity while making smooth pursuit eye movements was investigated. The effects of stimulus velocity, size, and eccentricity on velocity perception were determined. The findings from the eye movement experiments led to the development of a model that explains how eye velocity signals combine with visual motion signals to determine the perception of motion.

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Document Details

Document Type
Technical Report
Publication Date
Mar 06, 2000
Accession Number
ADA375117

Entities

People

  • Kathleen A. Turano

Organizations

  • Johns Hopkins University

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Acquisition
  • Aircrafts
  • Computers
  • Detection
  • Detectors
  • Eccentricity
  • Eye Movements
  • Human-Machine Interaction
  • Medical Personnel
  • Observers
  • Perception
  • Plastic Explosives
  • Psychology
  • Relative Motion
  • Reliability
  • Shape
  • Target Acquisition

Readers

  • Fluid Dynamics.
  • Sensor Fusion and Tracking Systems.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.