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Temporal Binding in Multi-Step Action-Event Sequences is Driven by Altered Effect Perception.

Felicitas V Muth1, Robert Wirth1, Wilfried Kunde1

  • 1Department of Psychology, Julius-Maximilians-University of Würzburg, Röntgenring 11, 97070 Würzburg, Germany.

Consciousness and Cognition
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Summary
This summary is machine-generated.

Temporal binding, a measure of agency, showed strong effect binding but no action binding in multi-step action-event sequences. This suggests agency perception relies more on outcomes than individual actions in complex tasks.

Keywords:
Intentional BindingMultisensory IntegrationPerceptionSense of AgencyTemporal Binding

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Area of Science:

  • Cognitive Neuroscience
  • Psychology
  • Human-Computer Interaction

Background:

  • Sense of agency is often measured by temporal binding, the perceived compression of time between an action and its effect.
  • Current research primarily examines agency in single action-effect scenarios, leaving multi-step sequences understudied.
  • Understanding agency in complex, sequential tasks is crucial for real-world applications.

Purpose of the Study:

  • To investigate temporal binding in multi-step action-event sequences.
  • To determine if action binding or effect binding is more influential in longer sequences.
  • To clarify the sense of agency in complex task environments.

Main Methods:

  • Two experiments (free and forced choice) utilized a temporal binding paradigm.
  • Participants performed sequential actions (pressing two keys) to elicit corresponding effects.
  • The interval between actions and effects was measured to assess temporal binding.

Main Results:

  • Overall temporal compression between actions and effects was observed.
  • Strong effect binding was evident for both sequential effects.
  • No significant action binding was detected for either action in the sequence.

Conclusions:

  • Sense of agency in multi-step sequences is primarily driven by the binding of effects, not individual actions.
  • This finding has implications for designing user interfaces and understanding human-computer interaction in complex tasks.
  • Future research should explore the neural mechanisms underlying effect binding in sequential action.