Episode 141
The Learning-to-Time model
...and now for another Human Factors Minute!
The Learning to Time model is one of many theories on how humans and other animals time events. This model comprises three major components including behavior states, associative links connecting the state to a response, and the response itself.
At the signal of the timed event, one behavior state is active. As time passes, a series of behavior states activate. Each behavioral state is then paired at varying degrees with at least one instrumental response. That degree of response depends on the strength of the activation.
What sets this model apart from other time models is that it is based on the rate at which the behavioral states are activated, rather than the rate of the signal.
An example of this model might look like a prediction of how someone may react when they've learned how to process various signals and responses in a signal detection task.
Overall, this study and others have brought attention to memory structure’s relation with timing.
This has been another Human Factors Minute!
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