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Related Experiment Video

Updated: Jan 9, 2026

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Synchronous motion predicts enhanced perceived human-robot teamwork.

Filipa Correia1,2, Pedro Marques-Quinteiro3,4

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Scientific Reports
|December 10, 2025
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Summary
This summary is machine-generated.

Interaction synchrony in human-robot teams influences observer perceptions of teamwork. Synchronous interactions enhance perceived collective efficacy, fluency, and cohesion, impacting how dyads are evaluated.

Keywords:
Human–robot synchronyHuman–robot teamworkSynchronous behavior

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Area of Science:

  • Social Robotics
  • Human-Robot Interaction
  • Cognitive Science

Background:

  • Interaction synchrony is crucial for lifelike human-robot agents.
  • Limited research exists on how external observers use synchrony to infer human-robot dyad capabilities.
  • Understanding these perceptions is key for developing effective social robots.

Purpose of the Study:

  • To investigate if external observers use interaction synchrony to assess human-robot dyads.
  • To determine if synchrony influences perceptions of teamwork, collective efficacy, fluency, and cohesion.
  • To explore the impact of interaction order (synchronous then asynchronous vs. vice versa) on these perceptions.

Main Methods:

  • A mixed-design experiment with 34 participants.
  • Participants viewed videos of human-robot dyads exhibiting either synchronous or asynchronous interactions.
  • Evaluations of dyad characteristics were collected based on video observations.

Main Results:

  • Perception of synchronous interaction significantly predicted higher estimations of collective efficacy, fluency, and cohesion.
  • Observing asynchronous interactions after synchronous ones amplified estimation differences.
  • Synchrony did not significantly affect participants' intention to affiliate with the dyad.

Conclusions:

  • Interaction synchrony is a vital cue for observers evaluating human-robot collaborative capabilities.
  • Findings offer insights into human perception of mixed human-robotic social groups.
  • Results have implications for designing more socially intelligent and perceivably effective robots.