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Updated: Jan 29, 2026

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
Published on: May 10, 2019
A causal inference explanation for enhancement of multisensory integration by co-articulation
John F Magnotti1, Kristen B Smith2, Marcelo Salinas2
1Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA. magnotti@bcm.edu.
Abstract:
The McGurk effect is a popular assay of multisensory integration in which participants report the illusory percept of "da" when presented with incongruent auditory "ba" and visual "ga" (AbaVga). While the original publication describing the effect found that 98% of participants perceived it, later studies reported much lower prevalence, ranging from 17% to 81%. Understanding the source of this variability is important for interpreting the panoply of studies that examine McGurk prevalence between groups, including clinical populations such as individuals with autism or schizophrenia. The original publication used stimuli consisting of multiple repetitions of a co-articulated syllable (three repetitions, AgagaVbaba). Later studies used stimuli without repetition or co-articulation (AbaVga) and used congruent syllables from the same talker as a control. In three experiments, we tested how stimulus repetition, co-articulation, and talker repetition affect McGurk prevalence. Repetition with co-articulation increased prevalence by 20%, while repetition without co-articulation and talker repetition had no effect. A fourth experiment compared the effect of the on-line testing used in the first three experiments with the in-person testing used in the original publication; no differences were observed. We interpret our results in the framework of causal inference: co-articulation increases the evidence that auditory and visual speech tokens arise from the same talker, increasing tolerance for content disparity and likelihood of integration. The results provide a principled explanation for how co-articulation aids multisensory integration and can explain the high prevalence of the McGurk effect in the initial publication.
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