Recognition of Emotion from Verbal and Nonverbal Expressions and Its Relation to Effective Communication: A Preliminary Evidence of a Positive Link

Jacob Israelashvili, Agneta Fischer

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Previous work has shown that emotion recognition is positively related to effective social interactions, but the mechanism underlying this relationship has remained largely unclear. Here, we examined the possibility that people who understand others’ emotions also talk to them using similar language. In the current study participants (N = 106) listened to emotional stories people shared from their own lives. They were later asked to recognize the storytellers’ feelings and finally provide written support messages. Perceivers’ ability to accurately recognize others’ feelings was assessed using the Emotional Accuracy Test (EAT), which uses naturalistic verbal and nonverbal emotional cues, and using two standard tests of nonverbal emotion recognition (GERT, RMET). The language of the expressor (target) was compared to the language of the supporter (participant) to quantify Language Style Matching, a proxy for effective communication. People who perform better in emotion recognition with verbal cues (EAT) also communicate their understanding and support using language similar to the expresser (r =.22, p =.02). This relation was insignificant for tests without verbal information (RMET, GERT). The result provides additional construct validation for the EAT and supports the view that understanding the emotions of others and communicating with them are two manifestations of a broader interpersonal skill.

Original languageEnglish
Article number6
JournalJournal of Intelligence
Volume11
Issue number1
DOIs
StatePublished - 28 Dec 2022

Bibliographical note

Publisher Copyright:
© 2022 by the authors.

Keywords

  • effective communication
  • emotion recognition
  • emotional accuracy
  • empathy
  • language style matching

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