Literature DB >> 29715582

Does dynamic information about the speaker's face contribute to semantic speech processing? ERP evidence.

David Hernández-Gutiérrez1, Rasha Abdel Rahman2, Manuel Martín-Loeches3, Francisco Muñoz3, Annekathrin Schacht4, Werner Sommer2.   

Abstract

Face-to-face interactions characterize communication in social contexts. These situations are typically multimodal, requiring the integration of linguistic auditory input with facial information from the speaker. In particular, eye gaze and visual speech provide the listener with social and linguistic information, respectively. Despite the importance of this context for an ecological study of language, research on audiovisual integration has mainly focused on the phonological level, leaving aside effects on semantic comprehension. Here we used event-related potentials (ERPs) to investigate the influence of facial dynamic information on semantic processing of connected speech. Participants were presented with either a video or a still picture of the speaker, concomitant to auditory sentences. Along three experiments, we manipulated the presence or absence of the speaker's dynamic facial features (mouth and eyes) and compared the amplitudes of the semantic N400 elicited by unexpected words. Contrary to our predictions, the N400 was not modulated by dynamic facial information; therefore, semantic processing seems to be unaffected by the speaker's gaze and visual speech. Even though, during the processing of expected words, dynamic faces elicited a long-lasting late posterior positivity compared to the static condition. This effect was significantly reduced when the mouth of the speaker was covered. Our findings may indicate an increase of attentional processing to richer communicative contexts. The present findings also demonstrate that in natural communicative face-to-face encounters, perceiving the face of a speaker in motion provides supplementary information that is taken into account by the listener, especially when auditory comprehension is non-demanding.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Language; Late posterior positivity; Multimodal processing; N400; Social neuroscience

Mesh:

Year:  2018        PMID: 29715582     DOI: 10.1016/j.cortex.2018.03.031

Source DB:  PubMed          Journal:  Cortex        ISSN: 0010-9452            Impact factor:   4.027


  1 in total

1.  More than words: word predictability, prosody, gesture and mouth movements in natural language comprehension.

Authors:  Ye Zhang; Diego Frassinelli; Jyrki Tuomainen; Jeremy I Skipper; Gabriella Vigliocco
Journal:  Proc Biol Sci       Date:  2021-07-21       Impact factor: 5.349

  1 in total

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