Literature DB >> 12395820

Predicting workplace outcomes from the ability to eavesdrop on feelings.

Hillary Anger Elfenbein1, Nalini Ambady.   

Abstract

Emotion recognition, the most reliably validated component within the construct of emotional intelligence, is a complicated skill. Although emotion recognition skill is generally valued in the workplace, "eavesdropping," or relatively better recognition ability with emotions expressed through the less controllable "leaky" nonverbal channels, can have detrimental social and workplace consequences. In light of theory regarding positive emotion in organizations, as well as research on the consequences of perceiving negative information, the authors hypothesized and found an interaction between nonverbal channel and emotional valence in predicting workplace ratings from colleagues and supervisors. Ratings were higher for eavesdropping ability with positive emotion and lower for eavesdropping ability with negative emotion. The authors discuss implications for the complexity of interventions associated with emotional intelligence in workplace settings.

Entities:  

Mesh:

Year:  2002        PMID: 12395820     DOI: 10.1037/0021-9010.87.5.963

Source DB:  PubMed          Journal:  J Appl Psychol        ISSN: 0021-9010


  6 in total

1.  Cultural differences in gaze and emotion recognition: Americans contrast more than Chinese.

Authors:  Jennifer Tehan Stanley; Xin Zhang; Helene H Fung; Derek M Isaacowitz
Journal:  Emotion       Date:  2012-08-13

2.  Test battery for measuring the perception and recognition of facial expressions of emotion.

Authors:  Oliver Wilhelm; Andrea Hildebrandt; Karsten Manske; Annekathrin Schacht; Werner Sommer
Journal:  Front Psychol       Date:  2014-05-13

3.  Emotion recognition and extraversion of medical students interact to predict their empathic communication perceived by simulated patients.

Authors:  Teresa Schreckenbach; Falk Ochsendorf; Jasmina Sterz; Miriam Rüsseler; Wolf Otto Bechstein; Bernd Bender; Myriam N Bechtoldt
Journal:  BMC Med Educ       Date:  2018-10-11       Impact factor: 2.463

Review 4.  EEG-Based BCI Emotion Recognition: A Survey.

Authors:  Edgar P Torres P; Edgar A Torres; Myriam Hernández-Álvarez; Sang Guun Yoo
Journal:  Sensors (Basel)       Date:  2020-09-07       Impact factor: 3.576

5.  A New Layered Model on Emotional Intelligence.

Authors:  Athanasios S Drigas; Chara Papoutsi
Journal:  Behav Sci (Basel)       Date:  2018-05-02

6.  Exploring the Domain of Emotional Intelligence in Organizations: Bibliometrics, Content Analyses, Framework Development, and Research Agenda.

Authors:  Baobao Dong; Xing Peng; Na Jiang
Journal:  Front Psychol       Date:  2022-03-07
  6 in total

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