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Can Implicit or Explicit Time Processing Impact Numerical Representation? Evidence From a Dual Task Paradigm.

Maria Grazia Di Bono1, Caterina Dapor2, Simone Cutini3

  • 1Department of General Psychology, University of Padua, Padua, Italy.

Frontiers in Psychology
|January 24, 2020
PubMed
Summary
This summary is machine-generated.

The human brain may process numbers and time using distinct representations, as number processing appears to influence time perception more significantly than vice versa. This suggests independent cognitive mechanisms for magnitude processing.

Keywords:
ATOMdual tasknumber representationnumber-time interactionstime representationvisuospatial attention

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Area of Science:

  • Cognitive Neuroscience
  • Psychology

Background:

  • The debate continues on whether the human brain uses a shared representation for different magnitudes like numbers and time.
  • Understanding number-time interaction is crucial for cognitive architecture models.

Purpose of the Study:

  • To investigate the effects of implicit and explicit time processing on number comparison.
  • To examine the bi-directional interaction between number and time processing.

Main Methods:

  • Thirty-two participants were assigned to either a Single task (implicit time processing) or a Dual task (explicit time processing).
  • Tasks involved number comparison and duration judgments.

Main Results:

  • In the Dual task, participants showed enhanced performance (speed and accuracy) with large numbers and long durations.
  • Time processing accuracy was higher after large number processing, especially for longer durations.
  • No significant effects were observed for small numbers or the reverse pattern of time influencing numbers.

Conclusions:

  • Number processing influences time processing more than the reverse, suggesting partially independent representations for numbers and time.
  • Findings support distinct cognitive mechanisms for processing different types of magnitude.
  • This research opens avenues for exploring hierarchical representations of space, numbers, and time.