The Bursts and Lulls of Multimodal Interaction: Temporal Distributions of Behavior Reveal Differences between Verbal and Non-Verbal Communication

Autor/inn/en	Abney, Drew H.; Dale, Rick; Louwerse, Max M.; Kello, Christopher T.
Titel	The Bursts and Lulls of Multimodal Interaction: Temporal Distributions of Behavior Reveal Differences between Verbal and Non-Verbal Communication
Quelle	In: Cognitive Science, 42 (2018) 4, S.1297-1316 (20 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0364-0213
DOI	10.1111/cogs.12612
Schlagwörter	Verbal Communication; Nonverbal Communication; Comparative Analysis; Interpersonal Communication; Communication Strategies; Hypothesis Testing; Dialogs (Language) + Suchen Sie Ihr Suchwort? Non-verbal communication; Nonverbale Kommunikation; Interpersonale Kommunikation; Kommunikationsstrategie; Hypothesenprüfung; Hypothesentest; Dialog; Dialogs; Dialogue; Dialogues
Abstract	Recent studies of naturalistic face-to-face communication have demonstrated coordination patterns such as the temporal matching of verbal and non-verbal behavior, which provides evidence for the proposal that verbal and non-verbal communicative control derives from one system. In this study, we argue that the observed relationship between verbal and non-verbal behaviors depends on the level of analysis. In a reanalysis of a corpus of naturalistic multimodal communication (Louwerse, Dale, Bard, & Jeuniaux, [Louwerse, M. M., 2012]), we focus on measuring the temporal patterns of specific communicative behaviors in terms of their "burstiness." We examined burstiness estimates across different roles of the speaker and different communicative modalities. We observed more burstiness for verbal versus non-verbal channels, and for more versus less informative language subchannels. Using this new method for analyzing temporal patterns in communicative behaviors, we show that there is a complex relationship between verbal and non-verbal channels. We propose a "temporal heterogeneity" hypothesis to explain how the language system adapts to the demands of dialog. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01