Assessment function | Assessment function of workload capacity combines both accuracy and response time (RT) into analysis. It can be used to infer the processing efficiency of four response conditions: (a) correct and fast, (b) correct and slow, (c) fast and incorrect, and (d) incorrect and slow |

Coactive models | A parallel architecture which assumes that inputs from parallel channels are combined into a common accumulator. A decision is made when the total activation reaches the decision criterion |

Detection sensitivity | A maximum slope of the psychometric function. The steeper the slope, the higher the detection sensitivity |

Race-model inequality | The race models assume that two decision units are racing to reach a decision criterion. If race models hold, the survivor function for the collaborative condition is bounded below by a combination of survivor functions from the two non-collaborative individual conditions. Violation of this bound implies that two decision units may interact with each other with supercapacity processing; that is collective benefit |

Statistical facilitation | The RT or accuracy gain produced by the standard parallel model |

Stopping rules | Rules to determine when a system stops processing, special cases of interest are self-termination and exhaustive rules |

Systems Factorial Technology | A theory-driven methodology that emphasizes identification of organization of processes through manipulation of experimental factors, typically under the assumption of factorial selectivity |

Unlimited-capacity, independent parallel model | An architecture which assumes that each decision unit in a system work in parallel. The efficiency of the system does not change as the number of decision units increases |

Workload capacity | A theoretical construct pertaining to influences on processing speed performance when the number of decision units of a system (i.e., the number of decision-maker in the present context) is varied |