Fr-SYM-703-3 - Human Mimicry In Personnel Selection: Does Being A Chameleon Influence Employment Interview Outcomes?

Selection methods
vendredi 19 mai   04:15 PM à 05:15 PM (1 heure)
Employee Selection
Selection methods
Human mimicry in personnel selection: Does being a chameleon influence employment interview outcomes?
E. Corneillie 1,*, F. Anseel 1, F. Lievens 1
1Ghent University, Ghent, Belgium
Main Abstract Content: Purpose
Previous research into nonverbal behaviour in employment interviews has typically studied applicant behaviour in isolation, yielding inconclusive findings. However, nonverbal behaviour does not occur isolated, but as part of an evolving dyadic interaction with the interviewer. To increase our understanding of the dynamics and outcomes of applicant nonverbal behaviour in employment interviews, we introduce mimicry in employment interviews as a an interpersonal nonverbal behavior phenomenon whereby applicants imitate the interviewer’s behaviour in a controlled or spontaneous manner.
Master psychology students (N = 251) engaged in mock employment interviews in which they were rated on four competences and four affective constructs by trained interviewers. Applicants were randomly assigned to three conditions: mimicking the interviewer, suppressing spontaneous mimicry, and a control condition. Nonverbal behaviours were automatically processed by computer vision algorithms to analyse interactional and temporal aspects of mimicry.
Initial analyses indicated that there are differences between conditions in the interviewers’ ratings of affective constructs, but no effect was found for ratings of competences.  We are currently further analysing the data to elaborate the dynamics of mimicking behaviours, which different behaviours are being mimicked, and how different forms of mimicry have different effects on interviewers’ ratings.
Research implications
The study clarifies which nonverbal behaviours are mimicked in a highly natural setting and how mimicry influences the interviewers’ ratings of an applicant.
This research expands previous findings by using a unique experimental manipulation, the self-other overlap model, and computer vision algorithms to progress scientific knowledge about mimicry dynamics.


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