2021
DOI: 10.31234/osf.io/tsem8
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Neural processing of facial expressions as modulators of communicative intention

Abstract: Speakers use a variety of contextual information, such as facial emotional expressions for the successful transmission of their message. Listeners must decipher the meaning by understanding the intention behind it (Recanati, 1986). A traditional approach to the study of communicative intention has been through speech acts (Escandell, 2006). The objective of the present study is to further the understanding of the influence of facial expression to the recognition of communicative intention. The study sought to:… Show more

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Cited by 4 publications
(2 citation statements)
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“…From the same database, the control facial expressions labeled as blank face, sad and happy were selected. The selection of the actors (two female and two male) was based on the accuracy in which they were recognized by a Mexican sample in a previous study (82.56 ± 6.23) ( Rasgado-Toledo et al, 2021 ). The five experimental and three control facial expressions, from these four actors, were used.…”
Section: Methodsmentioning
confidence: 99%
“…From the same database, the control facial expressions labeled as blank face, sad and happy were selected. The selection of the actors (two female and two male) was based on the accuracy in which they were recognized by a Mexican sample in a previous study (82.56 ± 6.23) ( Rasgado-Toledo et al, 2021 ). The five experimental and three control facial expressions, from these four actors, were used.…”
Section: Methodsmentioning
confidence: 99%
“…Among non-verbal forms of communication, facial expressions prove to be the most effective means of conveying emotions ( Awasthi and Mandal, 2015 ; Tarnowski et al, 2017 ). Moreover, they are the focal point of individuals’ intentions behind their expressions ( Rasgado-Toledo et al, 2021 ). For instance, a smile can signify a friendly disposition and, more broadly, express a motivation for affiliation, indicating an intention to foster or maintain social bonds ( Martin et al, 2017 ).…”
Section: From the Icon To The Indexmentioning
confidence: 99%