Traditional methods of signal analysis of one-dimensional data have limited use in unraveling how the movements of a musician in performance relate to the musical structure because performers’ movements are complex. Methods developed for the analysis of multi-dimensional chaotic systems, such as recurrence quantification analysis, are well suited to dealing with complex data of this type. We co...

Using corpus-based methods inspired by recurrence quantification analysis, we investigate the patterns that shape coordination in dialogue, in particular during the process of language acquisition. We show that the turn-by-turn temporal development of conversation is a key factor influencing when and how interlocutors match each other’s linguistic representations. Although there is continuity b...

Humans live in a very interactive context, requiring very frequent exchange of information with con-specifics, which itself requires subtle temporal calibration of linguistic and nonlinguistic activities. Over the last decade, the dynamics of interpersonal interaction has become a growing topic in cognitive science, precisely because of the important implications that interpersonal dynamics car...

Speakers and listeners in a dialogue establish mutual understanding by coordinating their linguistic responses. When a visual scene is present, scan patterns on that scene are also coordinated. However, it is an open question which linguistic and scene factors affect coordination. In this paper, we investigate the coordination of scan patterns during the comprehension and generation of scene de...