A queue-series model for reaction time, with discrete-stage and continuous-flow models as special cases.

This article presents a new reaction time model that includes both sequential-stage (discrete) and overlapping-stage (continuous-flow) models as special cases. In the new model, task performance is carried out by a series of distinct processing stages, each of which functions as a queue. A stimulus conveys 1 or more distinct components of information (e.g., features), and each stage can begin processing as soon as it receives 1 component from its predecessor. If a stimulus activates only 1 component, successive stages operate in strict sequence; if it activates multiple components, successive stages operate with temporal overlap. Within this class of models, experimental factors affecting different processing stages always have additive effects on reaction time with sequential stages but rarely do so with overlapping stages. Within this class of models, then, observations of factor additivity support discrete-stage models.

[1]  R. Pew,et al.  Speed-Accuracy Tradeoff in Reaction Time: Effect of Discrete Criterion Times , 1968 .

[2]  Stuart E. Dreyfus,et al.  An Appraisal of Some Shortest-Path Algorithms , 1969, Oper. Res..

[3]  Saul Sternberg,et al.  The discovery of processing stages: Extensions of Donders' method , 1969 .

[4]  David E. Rumelhart,et al.  A multicomponent theory of the perception of briefly exposed visual displays , 1970 .

[5]  W. R. Garner.  The Processing of Information and Structure , 1974 .

[6]  Daniel G Bobrow,et al.  On data-limited and resource-limited processes , 1975, Cognitive Psychology.

[7]  D A Taylor,et al.  Stage analysis of reaction time. , 1976, Psychological bulletin.

[8]  Keith E. Stanovich,et al.  Encoding, stimulus-response compatibility, and stages of processing , 1977 .

[9]  Richard Schweickert,et al.  A critical path generalization of the additive factor method: Analysis of a stroop task , 1978 .

[10]  M. Posner.  Chronometric explorations of mind : the third Paul M. Fitts lectures, delivered at the University of Michigan, September 1976 , 1978 .

[11]  C W Eriksen,et al.  Information processing in visual search: A continuous flow conception and experimental results , 1979, Perception & psychophysics.

[12]  James L. McClelland.  On the time relations of mental processes: An examination of systems of processes in cascade. , 1979 .

[13]  R Schweickert,et al.  Critical-path scheduling of mental processes in a dual task. , 1980, Science.

[14]  J. Duncan.  The locus of interference in the perception of simultaneous stimuli. , 1980 .

[15]  J. Townsend,et al.  Decomposing the reaction time distribution: Pure insertion and selective influence revisited☆ , 1980 .

[16]  G. Stelmach,et al.  Tutorials in Motor Behavior , 1980 .

[17]  A. Sanders.  20 Stage Analysis of Reaction Processes , 1980 .

[18]  D. Rosenbaum.  Human movement initiation: specification of arm, direction, and extent. , 1980, Journal of experimental psychology. General.

[19]  F. Gregory Ashby,et al.  Deriving Exact Predictions From the Cascade Model , 1982 .

[20]  J. Miller.  Discrete versus continuous stage models of human information processing: in search of partial output. , 1982, Journal of experimental psychology. Human perception and performance.

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

[22]  Donald L. Fisher,et al.  Stochastic PERT networks as models of cognition: Derivation of the mean, variance, and distribution of reaction time using Order-of-Processing (OP) diagrams , 1983 .

[23]  J. Miller.  Can response preparation begin before stimulus recognition finishes? , 1983, Journal of experimental psychology. Human perception and performance.

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

[25]  James T. Townsend,et al.  Uncovering mental processes with factorial experiments , 1984 .

[26]  Raja Parasuraman,et al.  Varieties of attention , 1984 .

[27]  Richard Schweickert,et al.  Models of central capacity and concurrency , 1984 .

[28]  Géry d' Ydewalle.  Cognition, information processing, and motivation , 1985 .

[29]  K. Dietz,et al.  The short-term storage as a buffer memory between long-term storage and the motor system: A simultaneous-processing model , 1985 .

[30]  P C Molenaar,et al.  Steps to a formal analysis of the cognitive-energetic model of stress and human performance. , 1986, Acta psychologica.

[31]  T. G. Reeve,et al.  A caution regarding use of the hint procedure to determine whether partial stimulus information activates responses , 1986, Perception & psychophysics.

[32]  A. Sanders,et al.  Relative signal frequency imbalance does not affect perceptual encoding in choice reactions. , 1986, Acta Psychologica.

[33]  Jeff Miller,et al.  Evidence of preliminary response preparation from a divided attention task. , 1987, Journal of experimental psychology. Human perception and performance.

[34]  A. Treisman.  Features and Objects: The Fourteenth Bartlett Memorial Lecture , 1988, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[35]  Jeff Miller,et al.  Discrete and continuous models of human information processing: theoretical distinctions and empirical results. , 1988, Acta psychologica.

[36]  David E. Irwin,et al.  The dynamics of cognition and action: mental processes inferred from speed-accuracy decomposition. , 1988, Psychological review.

[37]  James T. Townsend,et al.  Toward the trichotomy method of reaction times: laying the foundation of stochastic mental networks , 1989 .

[38]  James T. Townsend,et al.  A trichotomy: Interactions of factors prolonging sequential and concurrent mental processes in stochastic discrete mental (PERT) networks , 1989 .

[39]  Charles W. Eriksen,et al.  Processing redundant signals: Coactivation, divided attention, or what? , 1989, Perception & psychophysics.

[40]  R. Schweickert.  Separable effects of factors on activation functions in discrete and continuous models: d' and evoked potentials. , 1989, Psychological bulletin.

[41]  Peter C. M. Molenaar,et al.  Neural networks simulation of a discrete model of continious effects of irrelevant stimuli , 1990 .

[42]  J Miller,et al.  Discreteness and continuity in models of human information processing. , 1990, Acta psychologica.

[43]  G Mulder,et al.  Psychophysiological evidence for continuous information transmission between visual search and response processes. , 1991, Journal of experimental psychology. Human perception and performance.

[44]  W. Gehring,et al.  Continuous versus discrete information processing: evidence from movement-related potentials. , 1991, Electroencephalography and clinical neurophysiology. Supplement.

[45]  M G Coles,et al.  On the transmission of partial information: inferences from movement-related brain potentials. , 1992, Journal of experimental psychology. Human perception and performance.

[46]  J Miller,et al.  Effects of preliminary perceptual output on neuronal activity of the primary motor cortex. , 1992, Journal of experimental psychology. Human perception and performance.

[47]  H Pashler,et al.  Making two responses to a single object: implications for the central attentional bottleneck. , 1992, Journal of experimental psychology. Human perception and performance.

[48]  J Miller,et al.  Electrophysiological evidence for temporal overlap among contingent mental processes. , 1992, Journal of experimental psychology. General.

[49]  J. Stroop.  Studies of interference in serial verbal reactions. , 1992 .

[50]  W. Estes.  Toward a Statistical Theory of Learning. , 1994 .

[51]  I. Whishaw,et al.  Fundamentals of Human Neuropsychology , 1995 .