Literature DB >> 15136269

A note on the information-theoretic basis of Fitts' law.

I S MacKenzie1.   

Abstract

Fitts' law is an information-theoretic view of human motor behavior developed from Shannon's Theorem, 17, a fundamental theorem of communications systems. Using data from Fitts' original experiments, we demonstrate that Fitts' choice of an equation that deviates slightly from the underlying principal is perhaps unfounded, and that the relationship is improved by using an exact adaptation of Shannon's equation.

Entities:  

Year:  1989        PMID: 15136269     DOI: 10.1080/00222895.1989.10735486

Source DB:  PubMed          Journal:  J Mot Behav        ISSN: 0022-2895            Impact factor:   1.328


  18 in total

1.  Fifty years later: A neurodynamic explanation of Fitts' law.

Authors:  Dan Beamish; Shabana Ali Bhatti; I Scott MacKenzie; Jianhong Wu
Journal:  J R Soc Interface       Date:  2006-10-22       Impact factor: 4.118

2.  The effect of orientation on prehension movement time.

Authors:  Elsje van Bergen; Lisa M van Swieten; Justin H G Williams; Mark Mon-Williams
Journal:  Exp Brain Res       Date:  2006-10-12       Impact factor: 1.972

3.  The effect of distance on reaction time in aiming movements.

Authors:  Heather Munro; Mandy S Plumb; Andrew D Wilson; Justin H G Williams; Mark Mon-Williams
Journal:  Exp Brain Res       Date:  2007-07-17       Impact factor: 1.972

4.  Manipulating time-to-plan alters patterns of brain activation during the Fitts' task.

Authors:  Lara A Boyd; E D Vidoni; C F Siengsukon; B D Wessel
Journal:  Exp Brain Res       Date:  2009-02-13       Impact factor: 1.972

5.  Misperceiving the speed-accuracy tradeoff: imagined movements and perceptual decisions.

Authors:  Scott J Young; Jay Pratt; Tom Chau
Journal:  Exp Brain Res       Date:  2008-09-20       Impact factor: 1.972

6.  Time-sensitive reorganization of the somatosensory cortex poststroke depends on interaction between Hebbian and homeoplasticity: a simulation study.

Authors:  Amarpreet Singh Bains; Nicolas Schweighofer
Journal:  J Neurophysiol       Date:  2014-10-01       Impact factor: 2.714

Review 7.  Strategy of arm movement control is determined by minimization of neural effort for joint coordination.

Authors:  Natalia Dounskaia; Yury Shimansky
Journal:  Exp Brain Res       Date:  2016-03-16       Impact factor: 1.972

8.  Assessing executive function using a computer game: computational modeling of cognitive processes.

Authors:  Stuart Hagler; Holly Brugge Jimison; Misha Pavel
Journal:  IEEE J Biomed Health Inform       Date:  2014-07       Impact factor: 5.772

9.  Long term, stable brain machine interface performance using local field potentials and multiunit spikes.

Authors:  Robert D Flint; Zachary A Wright; Michael R Scheid; Marc W Slutzky
Journal:  J Neural Eng       Date:  2013-08-05       Impact factor: 5.379

10.  Micro-movements of varying difficulties: wrist and arm movements.

Authors:  Jason B Boyle; Charles H Shea
Journal:  Exp Brain Res       Date:  2013-06-04       Impact factor: 1.972

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