Tracking Capacity Measured by Informational Statistics

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Abstract
Information-theory statistics were used as performance measures during selfpaced pursuit tracking tasks with a time-discrete band-limited white Gaussian noise reference input and both time-discrete and time-continuous response signals. The experimental results from 64 subjects showed that the generated information rate increased exponentially with increasing input variance or input entropy. The spacing between successive input points had no general significant effects on the information rate. Discrete responses produced significantly higher information rates than continuous responses. The maximum information capacity was determined to be centered at about 10 bits/sec with asymptotes at about 11 bits/sec for discrete responses and 9 bits/sec for continuous responses.

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