mouse tracking (freeman: Hand in motion reveals mind in motion)

smoothening motor 

@article{duran-dale-10_action-dynamics-truth-liar,
  title={The action dynamics of overcoming the truth},
  author={Duran, N.D. and Dale, R. and McNamara, D.S.},
  journal={Psychonomic bulletin \& review},
  volume={17},
  number={4},
  pages={486--491},
  year={2010},

A convincing deceiver must act in discordance with their knowledge of the
truth. To do so requires the deceiver to resolve competition between what is
known to be true and what is intended to be false. We investigated the
temporal signature of this competition by examining the action dynamics of
arm movement while participants responded falsely or truthfully to
autobiographical information. The participants answered no or yes by
navigating a Nintendo Wii Remote to no and yes regions on a large projector
screen. Trajectory analyses of the fine-grained arm movements show increased
complexity in false responding relative to truthful responding, with the
greatest difference in false yes answers. The dynamic motor movements also
reveal greater strength of competition during the act of false responding,
thereby extending traditional response time measures that capture latent
competition alone. These results suggest that deceptive processes may be
detectable when action is allowed to covary with thought.

Supplemental figures and a list of the sentence stimuli may be downloaded
from http://pbr.psychonomic-journals.org/content/supplemental.

}}

@article{dale-roche-08_action-dynamics-learning,
  title={Exploring action dynamics as an index of paired-associate learning},
  author={Dale, R. and Roche, J. and Snyder, K. and McCall, R.},
  journal={PLoS One},
  volume={3},
  number={3},
  pages={e1728},
  year={2008}
  abstract= {

Much evidence exists supporting a richer interaction between cognition and
action than commonly assumed. Such findings demonstrate that short-timescale
processes, such as motor execution, may relate in systematic ways to
longer-timescale cognitive processes, such as learning. We further
substantiate one direction of this interaction: the flow of cognition into
action systems.  Two experiments explored match-to-sample paired-associate
learning, in which participants learned randomized pairs of unfamiliar
symbols.  During the experiments, their hand movements were continuously
tracked using the Nintendo Wiimote.  Across learning, participant arm
movements are initiated and completed more quickly, exhibit lower
fluctuation, and exert more perturbation on the Wiimote during the button
press. A second experiment demonstrated that action dynamics index novel
learning scenarios, and not simply acclimatization to the Wiimote
interface. Results support a graded and systematic covariation between
cognition and action, and recommend ways in which this theoretical
perspective may contribute to applied learning contexts.

}}