It Works Without Words: A Nonlinguistic Ability Test of Perceiving Emotions with Job-Related Consequences

Abstract

Emotion recognition ability of emotions expressed by other people (ERA-O) can be important for job performance, leadership, bargaining, and career success. Traditional personnel assessment tools of this ability, however, are contaminated by linguistic skills. In a time of global work migration, more and more people speak a language at work that is not their mother tongue. Consequently, we developed and validated the Face-Based Emotion Matching Test (FEMT), a nonlinguistic objective test of ERA-O in gainfully employed adults. We demonstrate the FEMT’s validity with psychological constructs (cognitive and emotional intelligence, Big Five personality traits) and its criterion validity and interethnic fit.