The footprints of visual attention in the Posner cueing paradigm revealed by classification images

Journal of Vision

Volumn 2, Issue 1, 2002, Pages 25-45

  Eckstein, Miguel P ^a   Shimozaki, Steven S ^a   Abbey, Craig K ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b Davis   (United States)

Author keywords

Attention; Computational modeling; Cueing paradigm; Ideal observer; Noise

Indexed keywords

ARTICLE; ASSOCIATION; ATTENTION; BAYES THEOREM; CLASSIFICATION; CONTROLLED STUDY; EYE FIXATION; FEEDBACK SYSTEM; FILTER; FOURIER TRANSFORMATION; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; INFORMATION PROCESSING; LUMINANCE; NOISE; NORMAL DISTRIBUTION; NORMAL HUMAN; POSITION EFFECT; TASK PERFORMANCE; VISUAL DISCRIMINATION; BIOLOGICAL MODEL; COMPUTER SIMULATION; DECISION MAKING; DECISION THEORY; IMAGE ENHANCEMENT; METHODOLOGY; MONTE CARLO METHOD; NASA DISCIPLINE SPACE HUMAN FACTORS; NASA PROGRAM BIOMEDICAL RESEARCH AND COUNTERMEASURES; NON-NASA CENTER; OBSERVER VARIATION; PATTERN RECOGNITION; PERCEPTIVE DISCRIMINATION; PHYSIOLOGY; QUALITY CONTROL; STATISTICAL MODEL; STATISTICS; VISION;

NASA DISCIPLINE SPACE HUMAN FACTORS; NASA PROGRAM BIOMEDICAL RESEARCH AND COUNTERMEASURES; NON-NASA CENTER;

ATTENTION; CHOICE BEHAVIOR; COMPUTER SIMULATION; DECISION THEORY; HUMANS; IMAGE ENHANCEMENT; LINEAR MODELS; MODELS, BIOLOGICAL; MONTE CARLO METHOD; OBSERVER VARIATION; PATTERN RECOGNITION, VISUAL; QUALITY CONTROL; SIGNAL DETECTION (PSYCHOLOGY); STATISTICS; VISUAL PERCEPTION;

EID: 0036979954     PISSN: 15347362     EISSN: None     Source Type: Journal    
DOI: 10.1167/2.1.3     Document Type: Article

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