Systems Factorial Technology Explained to Humans

The study of mental processes is at the forefront of research in cognitive psychology. However, the ability to identify the architectures responsible for specific behaviors is often quite difficult. To alleviate this difficulty, recent progress in mathematical psychology has brought forth Systems Factorial Technology (SFT; Townsend and Nozawa, 1995). Encompassing a series of analyses, SFT can diagnose and discriminate between five types of information processing architectures that possibly underlie a mental process. Despite the fact that SFT has led to new discoveries in cognitive psychology, the methodology itself remains far from intuitive to newcomers. This article therefore seeks to provide readers with a simple tutorial and a rudimentary introduction to SFT. This tutorial aims to encourage newcomers to read more about SFT and also to add it to their repertoire of analyses.

[1]  Joseph W. Houpt,et al.  Systems Factorial Technology provides new insights on global-local information processing in autism spectrum disorders. , 2010, Journal of mathematical psychology.

[2]  James T. Townsend,et al.  Survivor interaction contrast wiggle predictions of parallel and serial models for an arbitrary number of processes , 2014 .

[3]  Denis Cousineau,et al.  Termination of a visual search with large display size effects. , 2004, Spatial vision.

[4]  R. Duncan Luce,et al.  Response Times: Their Role in Inferring Elementary Mental Organization , 1986 .

[5]  Joseph W. Houpt,et al.  Nice Guys Finish Fast and Bad Guys Finish Last: Facilitatory vs. Inhibitory Interaction in Parallel Systems. , 2011, Journal of mathematical psychology.

[6]  Andrew Heathcote,et al.  Working memory’s workload capacity , 2015, Memory & cognition.

[7]  Ehtibar N. Dzhafarov,et al.  Decompositions of response times: an almost general theory , 1995 .

[8]  J. Townsend,et al.  A theory of interactive parallel processing: new capacity measures and predictions for a response time inequality series. , 2004, Psychological review.

[9]  A. Treisman,et al.  A feature-integration theory of attention , 1980, Cognitive Psychology.

[10]  Joseph W. Houpt,et al.  Statistical measures for workload capacity analysis. , 2012, Journal of mathematical psychology.

[11]  S. Sternberg Memory-scanning: mental processes revealed by reaction-time experiments. , 1969, American scientist.

[12]  J. McCarley,et al.  Workload capacity across the visual field in young and older adults. , 2015 .

[13]  F. Donders On the speed of mental processes. , 1969, Acta psychologica.

[14]  R. Nosofsky,et al.  Information-processing architectures in multidimensional classification: a validation test of the systems factorial technology. , 2008, Journal of experimental psychology. Human perception and performance.

[15]  James T. Townsend,et al.  The Stochastic Modeling of Elementary Psychological Processes , 1983 .

[16]  J. Townsend,et al.  NIH Public Access Author Manuscript , 2006 .

[17]  James T. Townsend,et al.  The statistical properties of the Survivor Interaction Contrast , 2010 .

[18]  J. Townsend,et al.  Spatio-temporal properties of elementary perception: an investigation of parallel, serial, and coactive theories , 1995 .

[19]  Sonja Engmann Triple redundant signals effect in the visual modality* Efecto de señales triple redundantes en la modalidad visual , 2013 .

[20]  D. Bamber Reaction times and error rates for “same”-“different” judgments of multidimensional stimull , 1969 .

[21]  Jeff Miller,et al.  Divided attention: Evidence for coactivation with redundant signals , 1982, Cognitive Psychology.

[22]  Leslie M. Blaha,et al.  An extension of workload capacity space for systems with more than two channels , 2015 .

[23]  Mounir Boukadoum,et al.  A bidirectional heteroassociative memory for binary and grey-level patterns , 2006, IEEE Transactions on Neural Networks.

[24]  Joseph W. Houpt,et al.  Systems factorial technology with R , 2014, Behavior research methods.

[25]  R M Mulligan,et al.  Multimodal signal detection: Independent decisions vs. integration , 1980, Perception & psychophysics.