Choosing the fastest movement: perceiving speed-accuracy tradeoffs

Several studies have shown that humans exhibit an intimate knowledge of prospective motor actions when imagining and planning movements. To probe this knowledge, we used a 2-alternative forced-choice task to determine whether people are consistent with Fitts’s law when choosing the movement they perceive to require the least movement time. We hypothesized that participants would choose the target with the lower index of difficulty with a probability greater than 0.5 in all situations. Participants performed almost perfectly when one of the targets was closer, wider, or both. Contrary to expectations, however, participants showed biases for close targets when one of the targets was closer and narrower. We argue that this pattern of behavior may result from a subjective representation of movement time that is based on both Fitts’s law and the distance to the target, suggesting a preference for movements that are less effortful.

[1]  A. Sirigu,et al.  The Mental Representation of Hand Movements After Parietal Cortex Damage , 1996, Science.

[2]  H. D. Brunk,et al.  AN EMPIRICAL DISTRIBUTION FUNCTION FOR SAMPLING WITH INCOMPLETE INFORMATION , 1955 .

[3]  M G Pandy,et al.  Computer modeling and simulation of human movement. , 2001, Annual review of biomedical engineering.

[4]  Michael I. Jordan,et al.  Optimal feedback control as a theory of motor coordination , 2002, Nature Neuroscience.

[5]  P. R. Davidson,et al.  Widespread access to predictive models in the motor system: a short review , 2005, Journal of neural engineering.

[6]  M. Shiffrar,et al.  Fitts's Law Holds for Action Perception , 2007, Psychological science.

[7]  Ning Qian,et al.  An optimization principle for determining movement duration. , 2006, Journal of neurophysiology.

[8]  David A Rosenbaum,et al.  Grasping movement plans , 2006, Psychonomic bulletin & review.

[9]  M. Jeannerod Neural Simulation of Action: A Unifying Mechanism for Motor Cognition , 2001, NeuroImage.

[10]  R. J. van Beers,et al.  The role of execution noise in movement variability. , 2004, Journal of neurophysiology.

[11]  J Decety,et al.  Sensation of effort and duration of mentally executed actions. , 1991, Scandinavian journal of psychology.

[12]  Michael S Landy,et al.  Statistical decision theory and the selection of rapid, goal-directed movements. , 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.

[13]  Daniel M. Wolpert,et al.  Making smooth moves , 2022 .

[14]  Zoubin Ghahramani,et al.  Computational principles of movement neuroscience , 2000, Nature Neuroscience.

[15]  A. Tversky,et al.  The framing of decisions and the psychology of choice. , 1981, Science.

[16]  R Plamondon,et al.  Speed/accuracy trade-offs in target-directed movements , 1997, Behavioral and Brain Sciences.

[17]  Timothy D. Lee,et al.  Motor Control and Learning: A Behavioral Emphasis , 1982 .

[18]  Jeff Miller,et al.  On the analysis of psychometric functions: The Spearman-Kärber method , 2001, Perception & psychophysics.

[19]  Konrad Paul Kording,et al.  A Neuroeconomics Approach to Inferring Utility Functions in Sensorimotor Control , 2004, PLoS biology.

[20]  M. Landy,et al.  Humans Rapidly Estimate Expected Gain in Movement Planning , 2006, Psychological science.

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

[22]  M. Landy,et al.  Optimal Compensation for Changes in Task-Relevant Movement Variability , 2005, The Journal of Neuroscience.

[23]  Paul Maruff,et al.  The effect of an external load on the force and timing components of mentally represented actions , 2000, Behavioural Brain Research.

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

[25]  I. Scott MacKenzie,et al.  Extending Fitts' law to two-dimensional tasks , 1992, CHI.

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

[27]  David A. Rosenbaum,et al.  Metacognitive control of action: Preparation for aiming reflects knowledge of Fitts’s law , 2005, Psychonomic bulletin & review.

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

[29]  M. Jeannerod,et al.  Mentally simulated movements in virtual reality: does Fitt's law hold in motor imagery? , 1995, Behavioural Brain Research.

[30]  G. Gescheider Psychophysics: The Fundamentals , 1997 .