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Processing language in face-to-face conversation: Questions with gestures get faster responses

Overview of attention for article published in Psychonomic Bulletin & Review, September 2017
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Title
Processing language in face-to-face conversation: Questions with gestures get faster responses
Published in
Psychonomic Bulletin & Review, September 2017
DOI 10.3758/s13423-017-1363-z
Pubmed ID
Authors

Judith Holler, Kobin H. Kendrick, Stephen C. Levinson

Abstract

The home of human language use is face-to-face interaction, a context in which communicative exchanges are characterised not only by bodily signals accompanying what is being said but also by a pattern of alternating turns at talk. This transition between turns is astonishingly fast-typically a mere 200-ms elapse between a current and a next speaker's contribution-meaning that comprehending, producing, and coordinating conversational contributions in time is a significant challenge. This begs the question of whether the additional information carried by bodily signals facilitates or hinders language processing in this time-pressured environment. We present analyses of multimodal conversations revealing that bodily signals appear to profoundly influence language processing in interaction: Questions accompanied by gestures lead to shorter turn transition times-that is, to faster responses-than questions without gestures, and responses come earlier when gestures end before compared to after the question turn has ended. These findings hold even after taking into account prosodic patterns and other visual signals, such as gaze. The empirical findings presented here provide a first glimpse of the role of the body in the psycholinguistic processes underpinning human communication.

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Geographical breakdown

Country Count As %
Unknown 131 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 22%
Student > Master 16 12%
Student > Bachelor 14 11%
Researcher 12 9%
Student > Doctoral Student 7 5%
Other 20 15%
Unknown 33 25%
Readers by discipline Count As %
Psychology 35 27%
Linguistics 25 19%
Arts and Humanities 8 6%
Computer Science 6 5%
Neuroscience 5 4%
Other 18 14%
Unknown 34 26%