Literature DB >> 24932658

Hand movements reflect competitive processing in numerical cognition.

Thomas J Faulkenberry1.   

Abstract

Traditional models of numerical cognition are based on the computer-based metaphor of cognition that assumes numerical judgments are stage-based and independent of bodily effectors. However, recent studies have indicated that the traditional metaphor may be inadequate for describing the processes involved in numerical decisions. In the present study, I provide further evidence that number processing proceeds in a continuous, competitive manner tightly coupled with feedback from the motor system. Forty-five adult participants' hand movements were recorded as they used a computer mouse to choose the correct parity (odd/even) for single-digit numerals. Distributional analyses of these hand movements indicated that responses resulted from competition between parallel and partially active mental representations rather than occurring in discrete stages.

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Year:  2014        PMID: 24932658     DOI: 10.1037/cep0000021

Source DB:  PubMed          Journal:  Can J Exp Psychol        ISSN: 1196-1961


  8 in total

1.  Task instructions modulate unit-decade binding in two-digit number representation.

Authors:  Thomas J Faulkenberry; Alexander Cruise; Samuel Shaki
Journal:  Psychol Res       Date:  2018-07-16

2.  Extending the reach of mousetracking in numerical cognition: a comment on Fischer and Hartmann (2014).

Authors:  Thomas J Faulkenberry; Amandine E Rey
Journal:  Front Psychol       Date:  2014-12-10

3.  Pushing forward in embodied cognition: may we mouse the mathematical mind?

Authors:  Martin H Fischer; Matthias Hartmann
Journal:  Front Psychol       Date:  2014-11-20

4.  Decision landscapes: visualizing mouse-tracking data.

Authors:  A Zgonnikov; A Aleni; P T Piiroinen; D O'Hora; M di Bernardo
Journal:  R Soc Open Sci       Date:  2017-11-08       Impact factor: 2.963

5.  The role of attention in subliminal semantic processing: A mouse tracking study.

Authors:  Kunchen Xiao; Takashi Yamauchi
Journal:  PLoS One       Date:  2017-06-13       Impact factor: 3.240

6.  A State Space Approach to Dynamic Modeling of Mouse-Tracking Data.

Authors:  Antonio Calcagnì; Luigi Lombardi; Marco D'Alessandro; Francesca Freuli
Journal:  Front Psychol       Date:  2019-12-17

7.  Numerical Affordance Influences Action Execution: A Kinematic Study of Finger Movement.

Authors:  Rosa Rugani; Sonia Betti; Luisa Sartori
Journal:  Front Psychol       Date:  2018-05-01

8.  Design choices: Empirical recommendations for designing two-dimensional finger-tracking experiments.

Authors:  Robert Wirth; Anna Foerster; Wilfried Kunde; Roland Pfister
Journal:  Behav Res Methods       Date:  2020-12
  8 in total

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