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The time course of intentional binding.

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Intentional binding (IB), a measure of agency, shifts effect perception closer to actions. IB increases with short delays but declines with longer delays, impacting human-machine interface design.

Keywords:
Action-effect intervalEffect delayIntentional bindingSense of agencyTemporal bindingTemporal predictability

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Human-Computer Interaction

Background:

  • Intentional binding (IB) is the perceptual bias where effects are perceived as occurring sooner when caused by an action.
  • IB serves as an implicit measure of the sense of agency, reflecting the subjective experience of controlling one's actions and their consequences.
  • Understanding the factors influencing IB, such as effect delay and temporal predictability, is crucial for understanding agency.

Purpose of the Study:

  • To investigate how effect delay and temporal predictability influence intentional binding (IB).
  • To determine the relationship between different delay durations and the magnitude of IB.
  • To explore the implications of these findings for the design of human-machine interfaces.

Main Methods:

  • Participants performed actions and observed effects with varying delays between them.
  • Intentional binding was operationalized as the temporal bias to perceive the effect as shifted toward the action.
  • Experiments manipulated effect delay durations (e.g., 100-400 ms) and assessed changes in perceived timing.

Main Results:

  • For short delays (200-300 ms), IB increased as the delay increased.
  • For longer delays (100-400 ms), the initial increase in IB observed at shorter delays declined.
  • These results extend previous findings showing a decrease in IB for delay ranges of 250-650 ms.

Conclusions:

  • The magnitude of intentional binding is sensitive to the duration of the delay between action and effect.
  • IB may be maximal at different delay durations depending on the specific action-effect context.
  • Findings have significant implications for optimizing human-machine interfaces by considering the subjective experience of agency.