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Related Experiment Video

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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

Cognitive Load Affects Numerical and Temporal Judgments in Distinct Ways.

Karina Hamamouche¹, Maura Keefe¹, Kerry E Jordan²

¹Boston College, Chestnut Hill, MA, United States.

Frontiers in Psychology

|October 19, 2018

Summary

Cognitive load affects time and number processing differently, challenging the idea of a single magnitude system. This study shows distinct biases in temporal overestimation and numerical underestimation under attention-demanding tasks.

Keywords:

cognitive load number processing quantity estimation quantity processing time perception

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Area of Science:

Cognitive psychology
Neuroscience
Magnitude processing

Background:

Prominent theories propose a common magnitude system for processing time and number.
However, inconsistencies suggest separate processing systems.
Emotional stimuli show distinct temporal overestimation and numerical underestimation biases.

Purpose of the Study:

To investigate temporal and numerical processing under cognitive load.
To test the common magnitude system theory by examining attention's role.
To determine if cognitive load impacts time and number judgments similarly.

Main Methods:

Adults performed temporal and numerical processing tasks under cognitive load.
Cognitive load was manipulated to compromise attentional resources.
Performance was assessed for temporal and numerical biases.

Main Results:

Baseline temporal and numerical performance were uncorrelated.
Cognitive load induced distinct biases: numerical underestimation and temporal overestimation.
These opposing biases challenge the common magnitude account.

Conclusions:

The common magnitude system for time and number processing is questioned.
Attentional processes play a significant role in numerical underestimation.
Distinct neural mechanisms may underlie temporal and numerical cognition.