Assessing automaticity in audiovisual speech integration: evidence from the speeded classification task

@article{SotoFaraco2004AssessingAI,
  title={Assessing automaticity in audiovisual speech integration: evidence from the speeded classification task},
  author={Salvador Soto-Faraco and Jordi Navarra and Agn{\`e}s Alsius},
  journal={Cognition},
  year={2004},
  volume={92},
  pages={b13-b23}
}
The McGurk effect is usually presented as an example of fast, automatic, multisensory integration. We report a series of experiments designed to directly assess these claims. We used a syllabic version of the speeded classification paradigm, whereby response latencies to the first (target) syllable of spoken word-like stimuli are slowed down when the second (irrelevant) syllable varies from trial to trial. This interference effect is interpreted as a failure of selective attention to filter out… CONTINUE READING

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