Response time models are a set of computational models that are used to explain how people make relatively simple decisions. The models use parameters that represent psychological aspects of decision making. By fitting data with response time models and interpreting the resultant parameters, we can redescribe standard accuracy and response time data in terms of underlying cognitive processes. Researchers are working hard to increase the accessibility of these data analysis techniques (our own work here and here). We have also been working on extending these models for simple decisions out to more complex tasks, like visual search, short-term memory tasks, the go/no-go task, measuring cognitive capacity.
