Modeling performance at the trial level within a diffusion framework: A simple yet powerful method for increasing efficiency via error detection and correction

Canadian Journal of Experimental Psychology

Volumn 63, Issue 2, 2009, Pages 81-93

  Joordens, Steve ^b   Darren Piercey, C ^a   Azarbehi, Rostam ^a  

^a UNIVERSITY OF NEW BRUNSWICK   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

Author keywords

Diffusion; Dynamic cognition; Error correction; Error detection; Trial level modeling

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; ATTENTION; AWARENESS; DECISION MAKING; HUMAN; LEARNING; PRODUCTIVITY; PSYCHOLOGICAL MODEL; REFERENCE VALUE;

ALGORITHMS; ATTENTION; AWARENESS; DECISION MAKING; EFFICIENCY; HUMANS; MODELS, PSYCHOLOGICAL; NEURAL NETWORKS (COMPUTER); PRACTICE (PSYCHOLOGY); REFERENCE VALUES; VERBAL LEARNING;

EID: 67749110270     PISSN: 11961961     EISSN: None     Source Type: Journal    
DOI: 10.1037/a0015385     Document Type: Article

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