By Topic

On a unifying noise-velocity relationship and information transmission in human-machine systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Chan, R.B. ; Prosthetics Lab., Northwestern Univ. Med. Sch., Chicago, IL, USA ; Childress, Dudley S.

A fundamental relationship is presented that relates the variance of the human-machine noise to the mean-square velocity of the human-machine output. This noise-velocity relationship: links McRuer's crossover model, Fitts' Law, and Elkind's human-machine model, and shows that these models are consequences of a fundamental human-machine behavior property; it also shows that the velocity and accuracy of the human-machine movement are inversely related. Theoretical results are then presented concerning information transmission rates in human pursuit tracking using position control. These results derive from the noise-velocity relationship the authors have developed. Good agreement is noted between the theoretical equations for information transmission rate and the empirical results of several investigators

Published in:

Systems, Man and Cybernetics, IEEE Transactions on  (Volume:20 ,  Issue: 5 )