Estimation of psychomotor delay from the Fitts’ law coefficients

An intrinsic property of human motor behavior is a trade-off between speed and accuracy. This is classically described by Fitts’ law, a model derived by assuming that the human body has a limited capacity to transmit information in organizing motor behavior. However, Fitts’ law can also be realized as an emergent property of movements generated by delayed feedback. In this article, we describe the relationship between the Fitts’ law coefficients and the physiological parameters of the underlying delayed feedback circuit: the relaxation rate or time constant, and the psychomotor delay of the feedback process. This relationship is then used to estimate the motor circuit delay of several tasks for which Fitts’ law data are available in the literature. We consistently estimate the delay to be between 0 and 112 ms. A further consequence of this model is that not all combinations of slope and Y-intercept in Fitts’ law are possible when movements are generated by delayed feedback. In fact, it is only possible for an observed speed–accuracy trade-off to be generated by delayed feedback if the Fitts’ law coefficients satisfy −0.482 ≤ a/b ≤ 3.343 [bits] where b represents the slope in bits per second and a represents the Y-intercept in seconds. If we assume human movement is generated by delayed feedback, then the Fitts’ law coefficients should always be restricted to this range of values.

[1]  R P Erickson,et al.  Antisense RNA inhibits endogenous gene expression in mouse preimplantation embryos: lack of double-stranded RNA "melting" activity. , 1988, Proceedings of the National Academy of Sciences of the United States of America.

[2]  K. Martin,et al.  Excitatory synaptic inputs to spiny stellate cells in cat visual cortex , 1996, Nature.

[3]  A. Georgopoulos Current issues in directional motor control , 1995, Trends in Neurosciences.

[4]  Edward M. Connelly,et al.  A Control Model: An Alternative Interpretation of Fitts' Law , 1984 .

[5]  A. T. Welford,et al.  The fundamentals of skill , 1968 .

[6]  E. Pierrot-Deseilligny,et al.  Non‐monosynaptic transmission of the cortical command for voluntary movement in man. , 1994, The Journal of physiology.

[7]  Peter J. Gawthrop,et al.  Predictive feedback control and Fitts–law , 2008, Biological Cybernetics.

[8]  Tarald O. Kv Lseth A Generalized Model of Temporal Motor Control Subject to Movement Constraints , 1977 .

[9]  C. MacKenzie,et al.  Three-Dimensional Movement Trajectories in Fitts' Task: Implications for Control , 1987 .

[10]  Daniel M. Wolpert,et al.  Forward Models for Physiological Motor Control , 1996, Neural Networks.

[11]  I. MacKenzie,et al.  A note on the information-theoretic basis of Fitts' law. , 1989, Journal of motor behavior.

[12]  Scott T. Grafton,et al.  Motor task difficulty and brain activity: investigation of goal-directed reciprocal aiming using positron emission tomography. , 1997, Journal of neurophysiology.

[13]  MacKenzie Is A Note on the Information-Theoretic Basis for Fitts’ Law , 1989 .

[14]  W. Regehr,et al.  Timing of neurotransmission at fast synapses in the mammalian brain , 1996, Nature.

[15]  Jianhong Wu,et al.  Fifty years later: a neurodynamic explanation of Fitts' law , 2006, Journal of The Royal Society Interface.

[16]  R. Nelson The Somatosensory System , 2001 .

[17]  D. Sugden Movement speed in children. , 1980, Journal of motor behavior.

[18]  M. Jeannerod,et al.  Constraints on human arm movement trajectories. , 1987, Canadian journal of psychology.

[19]  R. Kerr,et al.  Movement time in an underwater environment. , 1973, Journal of motor behavior.

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

[21]  D M Wolpert,et al.  Context estimation for sensorimotor control. , 2000, Journal of neurophysiology.

[22]  S C Gandevia,et al.  Peripheral and central delays in the cortical projections from human truncal muscles. Rapid central transmission of proprioceptive input from the hand but not the trunk. , 1992, Brain : a journal of neurology.

[23]  Lorraine G. Kisselburgh,et al.  Rapid visual feedback processing in single-aiming movements. , 1983, Journal of motor behavior.

[24]  John Annett,et al.  The Measurement of Elements in an Assembly Task-The Information Output of the Human Motor System , 1958 .

[25]  Francisco J Valero-Cuevas,et al.  Manipulating the edge of instability. , 2007, Journal of biomechanics.

[26]  Paul Cisek,et al.  A Computational Perspective on Proprioception and Movement Guidance in Parietal Cortex , 2001 .

[27]  Colin G. Drury,et al.  Application of Fitts' Law to Foot-Pedal Design , 1975 .

[28]  A. P. Georgopoulos,et al.  Neuronal population coding of movement direction. , 1986, Science.

[29]  Juan Luis Cabrera,et al.  Human stick balancing: tuning Lèvy flights to improve balance control. , 2004, Chaos.

[30]  Jianhong Wu,et al.  Introduction to Neural Dynamics and Signal Transmission Delay , 2001 .

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

[32]  D. Glencross,et al.  Response amendments during manual aiming movements to double-step targets. , 1989, Acta psychologica.

[33]  John M. Hollerbach,et al.  Workspace Effect in Arm Movement Kinematics Derived by Joint Interpolation , 1987 .

[34]  Ian Mackenzie,et al.  Fitts' law as a performance model in human-computer interaction , 1992 .

[35]  D. W. Repperger,et al.  Why engineers should know and use Fitts' law , 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).

[36]  P. Fitts,et al.  Information capacity of discrete motor responses under different cognitive sets. , 1966, Journal of experimental psychology.

[37]  Scott T. Grafton,et al.  Virtual lesions of the anterior intraparietal area disrupt goal-dependent on-line adjustments of grasp , 2005, Nature Neuroscience.

[38]  M. Konishi,et al.  Axonal delay lines for time measurement in the owl's brainstem. , 1988, Proceedings of the National Academy of Sciences of the United States of America.

[39]  E. Hoffmann,et al.  Geometrical conditions for ballistic and visually controlled movements. , 1988, Ergonomics.

[40]  I. Scott MacKenzie,et al.  Towards a standard for pointing device evaluation, perspectives on 27 years of Fitts' law research in HCI , 2004, Int. J. Hum. Comput. Stud..

[41]  D Glencross,et al.  Programming precision in repetitive tapping. , 1983, Journal of motor behavior.

[42]  Christian W. Eurich,et al.  STATE-DEPENDENT NOISE AND HUMAN BALANCE CONTROL , 2004 .

[43]  I. Scott MacKenzie,et al.  Speed-accuracy trade-off in planned arm movements with delayed feedback , 2006, Neural Networks.

[44]  C G Drury,et al.  Inspection of Sheet Materials — Model and Data , 1975, Human factors.

[45]  Jianhong Wu,et al.  Critical delay for overshooting in planned arm movements with delayed feedback , 2005, Journal of mathematical biology.

[46]  R. Andres,et al.  Prediction of Head Movement Time Using Fitts’ Law , 1989 .

[47]  G. Langolf,et al.  Speed of Aiming Movements , 1977 .

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

[49]  Luc Moreau,et al.  Balancing at the border of instability. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[50]  R. Miall,et al.  Task-dependent changes in visual feedback control: a frequency analysis of human manual tracking. , 1996, Journal of motor behavior.

[51]  T. O. Kvålseth,et al.  Distribution of Movement Time in a Target-Aiming Task , 1976, Perceptual and motor skills.

[52]  M. Posner,et al.  Processing of visual feedback in rapid movements. , 1968, Journal of experimental psychology.

[53]  John M. Flach,et al.  Control Theory for Humans: Quantitative Approaches To Modeling Performance , 2002 .

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

[55]  Scott T. Grafton,et al.  Role of the posterior parietal cortex in updating reaching movements to a visual target , 1999, Nature Neuroscience.

[56]  Jianhong Wu,et al.  Performance limitations from delay in human and mechanical motor control , 2008, Biological Cybernetics.

[57]  R Kerr,et al.  Diving, adaptation, and Fitts law. , 1978, Journal of motor behavior.

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

[59]  S. Grossberg,et al.  Neural dynamics of planned arm movements: emergent invariants and speed-accuracy properties during trajectory formation. , 1988, Psychological review.

[60]  T O Kvålseth,et al.  Absolute judgment for one- and two-dimensional stimuli embedded in Gaussian noise. , 1977, Ergonomics.

[61]  David J. Cannon Experiments with a target-threshold control theory model for deriving Fitts' law parameters for human-machine systems , 1994 .

[62]  R. Christina,et al.  Psychology of motor behavior and sport , 1978 .