Abstract

Digitally animated characters are promising tools in research studying how we integrate information from speech and visual sources such as gestures because they allow specific gesture features to be manipulated in isolation. We present an approach combining motion capture and 3D-animated characters that allows us to manipulate natural individual gesture strokes for experimental purposes, for example to temporally shift and present gestures in ecologically valid sequences. We exemplify how such stimuli can be used in an experiment investigating implicit detection of speech–gesture (a) synchrony, and discuss the general applicability of the workflow for research in this domain.

Highlights

  • Gestures are an integral part of natural language use

  • We present an approach using 3D-animated characters based on Motion Capture (MOCAP, Welch & Foxlin, 2002) data from real speakers, and an experiment to evaluate the method

  • We have presented a methodological workflow allowing us to precisely manipulate individual gestures in longer, ecologically valid, sequences of gestures based on MOCAP recordings

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Summary

Introduction

Gestures are an integral part of natural language use. Proponents of contemporary gesture theories generally agree on the tight link between speech, Lund, Sweden language and gestures despite theoretical divides as to the precise nature of the link (De Ruiter, 1998; Hostetter & Alibali, 2008; Kelly, Özyürek, & Maris, 2009; Kita, Alibali & Chu, 2017; Krauss, Chen, & Gottman, 2000; McNeill, 2005). The connection is reflected in the close temporal and semantic coordination between gestures and spoken utterances found in language production (Kendon, 2004 for an overview) whereby gestures and speech tend to express closely related meaning at the same time. Given that gestures often express ‘imagistic’ information complementing or illustrating the verbally expressed meaning of an utterance as a whole, in its communicative context, the notion of ‘conceptual affiliates’ has been suggested instead (De Ruiter, 2000; see McNeill, 2005, p. 37)

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