Fitts' law is not continuous in reciprocal aiming

It takes longer to accomplish difficult tasks than easy ones. In the context of motor behaviour, Fitts' famous law states that the time needed to successfully execute an aiming movement increases linearly with task difficulty. While Fitts' explicit formulation has met criticism, the relation between task difficulty and movement time is invariantly portrayed as continuous. Here, we demonstrate that Fitts' law is discontinuous in reciprocal aiming owing to a transition in operative motor control mechanisms with increasing task difficulty. In particular, rhythmic movements are implemented in easy tasks and discrete movements in difficult ones. How movement time increases with task difficulty differs in both movement types. It appears, therefore, that the human nervous system abruptly engages a different control mechanism when task difficulty increases.

[1]  Andreas Daffertshofer,et al.  Deterministic and stochastic features of rhythmic human movement , 2006, Biological Cybernetics.

[2]  A. Welford Fundamentals of skill / A.T. Welford , 1968 .

[3]  Jos J. Adam,et al.  Control of rapid aimed hand movement , 2000 .

[4]  R. Bootsma,et al.  Two-handed performance of a rhythmical fitts task by individuals and dyads. , 2001, Journal of experimental psychology. Human perception and performance.

[5]  P. Fitts The information capacity of the human motor system in controlling the amplitude of movement. , 1954, Journal of experimental psychology.

[6]  Alain Berthoz,et al.  Movement Timing and Invariance Arise from Several Geometries , 2009, PLoS Comput. Biol..

[7]  I.,et al.  Fitts' Law as a Research and Design Tool in Human-Computer Interaction , 1992, Hum. Comput. Interact..

[8]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[9]  J. Peinke,et al.  Description of a Turbulent Cascade by a Fokker-Planck Equation , 1997 .

[10]  J. Peinke,et al.  Statistical properties of a turbulent cascade , 1997 .

[11]  Denis Mottet,et al.  Informational constraints in human precision aiming , 2002, Neuroscience Letters.

[12]  A. Smitsman,et al.  Geometries and Dynamics of a Rod Determine How It Is Used for Reaching , 2003, Journal of motor behavior.

[13]  Errol R Hoffmann,et al.  The effects of probe length on Fitts' law. , 2002, Applied ergonomics.

[14]  Yves Guiard,et al.  Two-handed performance of a rhythmical fitts task by individuals and dyads. , 2001, Journal of experimental psychology. Human perception and performance.

[15]  Denis Mottet,et al.  The dynamics of goal-directed rhythmical aiming , 1999, Biological Cybernetics.

[16]  Andreas Daffertshofer,et al.  PCA in studying coordination and variability: a tutorial. , 2004, Clinical biomechanics.

[17]  G. Fullerton Psychology and physiology. , 1896 .

[18]  Frank T. J. M. Zaal,et al.  Dynamics of reaching for stationary and moving objects: Data and Model , 1999 .

[19]  Viktor K. Jirsa,et al.  Distinct Timing Mechanisms Produce Discrete and Continuous Movements , 2008, PLoS Comput. Biol..

[20]  H. Zelaznik,et al.  Motor-output variability: a theory for the accuracy of rapid motor acts. , 1979, Psychological review.

[21]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[22]  Steven H. Strogatz,et al.  Nonlinear Dynamics and Chaos , 2024 .

[23]  Kenneth J. Kokjer,et al.  The Information Capacity of the Human Fingertip , 1987, IEEE Transactions on Systems, Man, and Cybernetics.

[24]  Robert Sessions Woodworth,et al.  THE ACCURACY OF VOLUNTARY MOVEMENT , 1899 .

[25]  P. Fitts,et al.  INFORMATION CAPACITY OF DISCRETE MOTOR RESPONSES. , 1964, Journal of experimental psychology.

[26]  R A Abrams,et al.  Optimality in human motor performance: ideal control of rapid aimed movements. , 1988, Psychological review.