Table 1.

Systems Factorial Technology (SFT)-related theoretical glossary

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