Augmented feedback influences upper limb reaching movement times but does not explain violations of Fitts' Law

Fitts' (1954) classic theorem asserts that the movement time (MT) of voluntary reaches is determined by amplitude and width requirements (i.e., index of difficulty: ID). Actions associated with equivalent IDs should elicit equivalent MTs regardless of the amplitude and/ or width requirements. However, contemporary research has reported that amplitude-based contributions to IDs yield larger increases in MTs than width-based contributions. This discrepancy may relate to the presence of augmented terminal feedback in Fitts' original research, which has not been provided in more recent investigations (e.g., Heath et al., 2011). To address this issue, participants performed reaching movements during two sessions wherein feedback regarding terminal accuracy was either provided or withheld. It was hypothesized that the absence of augmented terminal feedback would result in a stereotyped performance across target widths and explain the violation of Fitts' theorem. Yet, the results revealed distinct influences of amplitude- and width-based manipulations on MT, which also persisted across feedback conditions. This finding supports the assertion that the unitary nature of Fitts' theorem does not account for a continuous range of movement amplitudes and target widths. A secondary analysis was competed in an attempt to further investigate the violation of Fitts' Law. Based on error rates, participants were segregated into accuracy- and speed-prone groups. Additionally, target's IDs were recalculated based on each participant's performance using the effective target width (i.e., IDWe) instead of the nominal target width. When using MT data from the accuracy-prone group with this IDWe, the aforementioned violation was alleviated. Overall, augmented terminal feedback did not explain the violation of Fitts' theorem, although one should consider using the effective target width and participant's strategy in future investigations.

[1]  D H Brainard,et al.  The Psychophysics Toolbox. , 1997, Spatial vision.

[2]  Shumin Zhai,et al.  Speed-accuracy tradeoff in Fitts' law tasks-on the equivalency of actual and nominal pointing precision , 2004, Int. J. Hum. Comput. Stud..

[3]  Tom Chau,et al.  Target-Directed Movements at a Comfortable Pace: Movement Duration and Fitts's Law , 2009, Journal of motor behavior.

[4]  Romeo Chua,et al.  Do preparation or control processes result in the modulation to Fitts’ law for movements to targets with placeholders? , 2012, Experimental Brain Research.

[5]  William R. Wyatt,et al.  Effects of Auditory Feedback on Movement Time in a Fitts Task , 2010, Journal of motor behavior.

[6]  Yves Guiard,et al.  Preface: Fitts' law 50 years later: Applications and contributions from human-computer interaction , 2004 .

[7]  M. Malcolm,et al.  Instructions emphasizing speed improves hemiparetic arm kinematics during reaching in stroke. , 2012, NeuroRehabilitation.

[8]  Jacob S Nteere,et al.  Information Capacity of the Human Motor system , 1982 .

[9]  A. Grandage 130. Query: Orthogonal Coefficients for Unequal Intervals , 1958 .

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

[11]  Jay Pratt,et al.  Moving Farther but Faster , 2006, Psychological science.

[12]  Richard A. Magill,et al.  The Effect of Erroneous Knowledge of Results on Skill Acquisition when Augmented Information is Redundant , 1992 .

[13]  J J Adam,et al.  The effects of objectives and constraints on motor control strategy in reciprocal aiming movements. , 1992, Journal of motor behavior.

[14]  A. H. Norris,et al.  Speed and accuracy of movement and their changes with age. , 1969, Acta psychologica.

[15]  M. Duarte,et al.  Fitts’ law in human standing: the effect of scaling , 1999, Neuroscience Letters.

[16]  H. Branch Coslett,et al.  Two-component models of reaching: Evidence from deafferentation in a Fitts’ law task , 2009, Neuroscience Letters.

[17]  R. Schmidt A schema theory of discrete motor skill learning. , 1975 .

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

[19]  R. Bakeman Recommended effect size statistics for repeated measures designs , 2005, Behavior research methods.

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

[21]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[22]  J. Algina,et al.  Generalized eta and omega squared statistics: measures of effect size for some common research designs. , 2003, Psychological methods.

[23]  E. Hoffmann,et al.  Finger width corrections in Fitts' law: implications for speed-accuracy research. , 1991, Journal of motor behavior.

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

[25]  R. D. Seif,et al.  Calculation of Orthogonal Coefficients When Treatments Are Unequally Replicated and /or Unequally Spaced1 , 1963 .

[26]  Yves Guiard,et al.  Fitts' law 50 years later: applications and contributions from human-computer interaction , 2004, Int. J. Hum. Comput. Stud..

[27]  A. T. Welford,et al.  THE MEASUREMENT OF SENSORY-MOTOR PERFORMANCE : SURVEY AND REAPPRAISAL OF TWELVE YEARS' PROGRESS , 1960 .

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

[29]  E. R. Crossman,et al.  Feedback Control of Hand-Movement and Fitts' Law , 1983, The Quarterly journal of experimental psychology. A, Human experimental psychology.

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

[31]  D. Elliott,et al.  Revisiting Fitts and Peterson (1964): width and amplitude manipulations to the reaching environment elicit dissociable movement times. , 2011, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.

[32]  I. Olivier,et al.  Effects of temporal and/or spatial instructions on the speed–accuracy trade-off of pointing movements in children , 2003, Neuroscience Letters.

[33]  Ching-yi Wu,et al.  Effects of task instructions and target location on reaching kinematics in people with and without cerebrovascular accident: a study of the less-affected limb. , 2008, The American journal of occupational therapy : official publication of the American Occupational Therapy Association.

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

[35]  RenXiangshi,et al.  Speed-accuracy tradeoff in Fitts' law tasks , 2004 .

[36]  Romeo Chua,et al.  Discrete vs. continuous visual control of manual aiming , 1991 .

[37]  Shumin Zhai,et al.  Beyond Fitts' law: models for trajectory-based HCI tasks , 1997, CHI Extended Abstracts.