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Effects of motion on time perception.

Andréia Kroger-Costa1, Armando Machado, Jorge A Santos

  • 1School of Psychology, University of Minho, Animal Learning and Behavior Laboratory, Braga, Portugal. andreiakc@gmail.com

Behavioural Processes
|March 5, 2013
PubMed
Summary
This summary is machine-generated.

Running while judging time affects perception. Participants perceived durations as longer and were less accurate when performing tasks simultaneously with motion, impacting time perception.

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Human Movement Science

Background:

  • Time perception is a complex cognitive function.
  • The impact of concurrent physical activity on temporal judgments is not fully understood.
  • Dual-task paradigms offer insights into cognitive load and performance.

Purpose of the Study:

  • To examine how physical motion, specifically running, influences time perception.
  • To compare the effects of motion on two distinct temporal judgment tasks: discrimination and generalization.
  • To investigate the interplay between motor activity and cognitive timing under dual-task conditions.

Main Methods:

  • Two experiments were conducted using a treadmill: a temporal discrimination (bisection) task and a temporal generalization task.
  • Participants judged auditory stimuli durations while either standing still or running.
  • Performance metrics included response bias (bisection task) and accuracy (generalization task).

Main Results:

  • In the temporal bisection task, participants showed a bias towards judging durations as longer when running concurrently.
  • In the temporal generalization task, accuracy in judging durations decreased significantly when participants were running.
  • These findings suggest that physical motion interferes with temporal processing.

Conclusions:

  • Concurrent physical motion, such as running, significantly alters time perception.
  • The dual-task costs observed highlight the attentional demands of integrating motor and cognitive timing.
  • Results align with theories suggesting shared resources or interference in dual-task scenarios, potentially explained by Scalar Expectancy Theory (SET).