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Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication
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Emoticons in text may function like gestures in spoken or signed communication.

Laurie Beth Feldman1, Cecilia R Aragon2, Nan-Chen Chen2

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Emoticons in texting and gestures in sign language show similar code interdependence. This suggests gestures have a complex relationship with all forms of language, including signed, spoken, and text-based communication.

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Area of Science:

  • Linguistics
  • Semiotics
  • Communication Studies

Background:

  • Textual communication often uses emoticons to convey non-verbal cues.
  • Signed languages utilize gestures extensively for meaning.
  • The relationship between different communication modalities is a key area of linguistic inquiry.

Purpose of the Study:

  • To explore the parallels between emoticons in textual communication and gesture in signed language.
  • To investigate the interdependence of codes in various communication forms.
  • To propose a generalized model for gesture's relationship with language.

Main Methods:

  • Comparative analysis of emoticon usage in text messages.
  • Examination of gesture functions within signed language discourse.
  • Identification of contextual similarities in code behavior between emoticons and gestures.

Main Results:

  • Emoticons in textual communication exhibit behaviors analogous to gestures in signed language under specific contexts.
  • A nuanced interdependence between emoticons and textual codes was observed.
  • Parallels were drawn concerning the expressive functions and contextual reliance of both systems.

Conclusions:

  • Gesture displays a complex, interdependent relationship with language across modalities (signed, spoken, texted).
  • Emoticons serve a function in text that mirrors gesture's role in signed and spoken language.
  • The findings support a broader understanding of non-verbal and para-linguistic elements in communication systems.