The many (distinctive) faces of leadership: Inferring leadership domain from facial appearance

Previous research has shown that people form impressions of potential leaders from their faces and that certain facial features predict success in reaching prestigious leadership positions. However, much less is known about the accuracy or meta-accuracy of face-based leadership inferences. Here we e...

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Veröffentlicht in:The Leadership quarterly 2014-10, Vol.25 (5), p.817-834
Hauptverfasser: Olivola, Christopher Y., Eubanks, Dawn L., Lovelace, Jeffrey B.
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container_title The Leadership quarterly
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creator Olivola, Christopher Y.
Eubanks, Dawn L.
Lovelace, Jeffrey B.
description Previous research has shown that people form impressions of potential leaders from their faces and that certain facial features predict success in reaching prestigious leadership positions. However, much less is known about the accuracy or meta-accuracy of face-based leadership inferences. Here we examine a simple, but important, question: Can leadership domain be inferred from faces? We find that human judges can identify business, military, and sports leaders (but not political leaders) from their faces with above-chance accuracy. However, people are surprisingly bad at evaluating their own performance on this judgment task: We find no relationship between how well judges think they performed and their actual accuracy levels. In a follow-up study, we identify several basic dimensions of evaluation that correlate with face-based judgments of leadership domain, as well as those that predict actual leadership domain. We discuss the implications of our results for leadership perception and selection.
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source Elsevier ScienceDirect Journals; Worldwide Political Science Abstracts
subjects Accuracy
Correlation analysis
Decision analysis
Face
Implicit leadership theories
Judges
Judgment
Judgment accuracy
Leadership
Leadership perception
Nonverbal behavior
Perceptions
Social perception
Sports
Studies
title The many (distinctive) faces of leadership: Inferring leadership domain from facial appearance
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