The effects of dual-task interference in predicting turn-ends in speech and music.

Determining when a partner's spoken or musical turn will end requires well-honed predictive abilities. Evidence suggests that our motor systems are activated during perception of both speech and music, and it has been argued that motor simulation is used to predict turn-ends across domains. Here we used a dual-task interference paradigm to investigate whether motor simulation of our partner's action underlies our ability to make accurate turn-end predictions in speech and in music.

Listeners are better at predicting speakers similar to themselves.

Although it takes several hundred milliseconds to prepare a spoken contribution, gaps between turns in conversation tend to be much shorter. To produce these short gaps, it appears that interlocutors predict the end of their partner's turn. The theory of prediction-by-simulation proposes that individuals use their own motor system to model a partner's upcoming actions by referring to prior production experience.