THEORY AND METHODOLOGY IN PERCEPTION

COLOR VISION THEORIES

Trichromatic Theory
  Psychophysical Support
  Physiological Support
  Additional Features
Opponent-Process Theory
  Color Matching
  Color Afterimages
  Color Vision Deficiencies
  Color Naming Combinations
  Hering's Model
  Svactichin's Revised Model
  DeValois and DeValois' Model
Implications

SIGNAL DETECTION THEORY

Introduction to Signal Detection
Probability Distribution Model
Signal Detection: X-ray
Signal Detection: Radar
Signal Detection: ROC Curves

DISTANCE AND DEPTH PERCEPTION

Overview
Monocular Cues
  Pictorial Cues
    Relative Size
    Interposition
    Relative Height
    Shading
    Linear Perspective
    Aerial Perspective
    Texture Gradient and Relative Brightness
  Nonpictorial Cues
    Motion Parallax
    Kinetic Depth Effect
    Accommodation
Binocular Cues
  Retinal Disparity
  Convergence

GESTALT PRINCIPLES OF ORGANIZATION

Introduction
Laws of Grouping
  Law of Proximity
  Law of Similarity
  Law of Good Continuation
  Law of Closure
  Law of Common Fate
  Law of Pragnanz
Figure and Ground

FORM AND PATTERN PERCEPTION

Introduction
Theoretical Approaches
Template-Matching Approach
Distinctive Features Approach
Spatial Frequency Approach
  Introduction
  Cycles/degree
  Contrast Sensitivity Function
  Comparative Data
  Gratings and On-Off Cells
  Selective Adaptation Effects
  Conclusions
Computational Approach
  Marr’s (1982) Computational Model
  Biederman’s (1987) Computational Model
Feature-Integration Approach
Visual Search
Attentional Factors

EXPERIMENTAL METHODOLOGY

Introduction
Sources of Experimental Error
  Confounding of Variables
  Subject-relevant Variables
  Situational-relevant Variables
  Sequence-relevant Variables
Control Procedures
  Control of Subject-relevant Variables
    Hold the Variable Constant
    Equate the Variable
    Match the Variable
    Randomize the Variable
  Control of Situational- relevant Variables
    Hold the Variable Constant
    Equate the Variable
    Match the Variable
    Randomize the Variable
  Control of Sequence-relevant Variables
    Intrasubject Counterbalancing
    Intragroup Counterbalancing
    Complete Counterbalancing
    Incomplete Counterbalancing
    Balanced Square
    Latin Square
    Randomized Incomplete Counterbalancing

EXPERIMENTAL DESIGNS

Separate Groups Designs
Single Group Design
Mixed Models
Single subject design