Despite the pervasiveness of facial inferences, scholars have debated whether our face reflects valid information regarding how we actually behave. Whereas previous research has largely focused on the accuracy of facial inferences, the present research examined the validity of face-based judgments. Specifically, we tested how accurate face-based judgments are, whether the accuracy of and confidence in face-based judgments are associated, and what mechanisms potentially link facial appearance to behaviors (N = 1,386 American and Korean adults). We found that although face-based judgments could accurately predict someone’s behavior (Study 1), participants’ confidence about their face-based judgments was not associated with their accuracy (Studies 2a and 2b). Moreover, Study 3 demonstrated that the accuracy of facial inferences is possibly due to self-fulfilling effects of facial inferences. That is, accuracy is largely driven by perceivers’ beliefs rather than by the direct association between faces and behaviors.
ArendM. G.SchäferT. (2019). Statistical power in two-level models: A tutorial based on Monte Carlo simulation. Psychological Methods, 24, 1–19. https://doi.org/10.1037/met0000195
2.
CarréJ. M.McCormickC. M. (2008). In your face: Facial metrics predict aggressive behaviour in the laboratory and in varsity and professional hockey players. Proceedings of the Royal Society B: Biological Sciences, 275, 2651–2656. https://doi.org/10.1098/rspb.2008.0873
3.
CogsdillE. J.TodorovA.SpelkeE. S.BanajiM. R. (2014). Inferring character from faces: A developmental study. Psychological Science, 25, 1132–1139. https://doi.org/10.1177/0956797614523297
4.
CoxW. T.DevineP. G.BischmannA. A.HydeJ. S. (2016). Inferences about sexual orientation: The roles of stereotypes, faces, and the gaydar myth. Journal of Sex Research, 53(2), 157–171. https://doi.org/10.1080/00224499.2015.1015714
5.
EaglyA. H.KarauS. J. (1991). Gender and the emergence of leaders: A meta-analysis. Journal of Personality and Social Psychology, 60, 685–710. https://doi.org/10.1037/0022-3514.60.5.685
GreenP.MacLeodC. J. (2016). SIMR: An R package for power analysis of generalized linear mixed models by simulation. Methods in Ecology and Evolution, 7, 493–498. https://doi.org/10.1111/2041-210X.12504
8.
HassinR.TropeY. (2000). Facing faces: Studies on the cognitive aspects of physiognomy. Journal of Personality and Social Psychology, 78, 837–852. https://doi.org/10.1037/0022-3514.78.5.837
KosinskiM. (2017). Facial width-to-height ratio does not predict self-reported behavioral tendencies. Psychological Science, 28(11), 1675–1682. https://doi.org/10.1177/0956797617716929
11.
LefevreC. E.LewisG. J.PerrettD. I.PenkeL. (2013). Telling facial metrics: Facial width is associated with testosterone levels in men. Evolution and Human Behavior, 34, 273–279. https://doi.org/10.1016/j.evolhumbehav.2013.03.005
12.
MalpassR. S.KravitzJ. (1969). Recognition for faces of own and other race. Journal of Personality and Social Psychology, 13, 330–334. https://doi.org/10.1037/h0028434
13.
MarkusH. R.KitayamaS. (1991). Culture and the self: Implications for cognition, emotion, and motivation. Psychological Review, 98, 224–253. https://doi.org/10.1037/0033-295X.98.2.224
14.
NaJ.KimS.OhH.ChoiI.O’TooleA. (2015). Competence judgments based on facial appearance are better predictors of American elections than of Korean elections. Psychological Science, 26, 1107–1113. https://doi.org/10.1177/0956797615576489
15.
OlivolaC. Y.EubanksD. L.LovelaceJ. B. (2014). The many (distinctive) faces of leadership: Inferring leadership domain from facial appearance. The Leadership Quarterly, 25, 817–834. https://doi.org/10.1016/j.leaqua.2014.06.002
16.
OlivolaC. Y.SussmanA. B.TsetsosK.KangO. E.TodorovA. (2012). Republicans prefer Republican-looking leaders: Political facial stereotypes predict candidate electoral success among right-leaning voters. Social Psychological and Personality Science, 3, 605–613. https://doi.org/10.1177/1948550611432770
17.
OlivolaC. Y.TodorovA. (2010). Fooled by first impressions? Reexamining the diagnostic value of appearance-based inferences. Journal of Experimental Social Psychology, 46, 315–324. https://doi.org/10.1016/j.jesp.2009.12.002
18.
OosterhofN. N.TodorovA. (2008). The functional basis of face evaluation. Proceedings of the National Academy of Sciences, USA, 105, 11087–11092. https://doi.org/10.1073/pnas.0805664105
19.
R Core Team. (2020). R: A language and environment for statistical computing (Version 3.5.3) [Computer software]. Retrieved from http://www.R-project.org
20.
RosenthalR.JacobsonL. (1968). Pygmalion in the classroom: Teacher expectation and pupils’ intellectual development. Holt, Rinehart & Winston.
21.
RossL.NisbettR. E. (1991). The person and the situation: Perspectives of social psychology. McGraw-Hill.
22.
RuleN. O.AmbadyN. (2008). The face of success: Inferences from chief executive officers’ appearance predict company profits. Psychological Science, 19, 109–111. https://doi.org/10.1111/j.1467-9280.2008.02054.x
RuleN. O.AmbadyN.AdamsR. B.Jr.MacraeC. N. (2008). Accuracy and awareness in the perception and categorization of male sexual orientation. Journal of Personality and Social Psychology, 95, 1019–1028. https://doi.org/10.1037/a0013194
25.
RuleN. O.AmbadyN.AdamsR. B.Jr.OzonoH.NakashimaS.YoshikawaS.WatabeM. (2010). Polling the face: Prediction and consensus across cultures. Journal of Personality and Social Psychology, 98, 1–15. https://doi.org/10.1037/a0017673
26.
RuleN. O.AmbadyN.HallettK. C. (2009). Female sexual orientation is perceived accurately, rapidly, and automatically from the face and its features. Journal of Experimental Social Psychology, 45, 1245–1251. https://doi.org/10.1016/j.jesp.2009.07.010
27.
RuleN. O.KrendlA. C.IvcevicZ.AmbadyN. (2013). Accuracy and consensus in judgments of trustworthiness from faces: Behavioral and neural correlates. Journal of Personality and Social Psychology, 104, 409–426. https://doi.org/10.1037/a0031050
28.
SamochowiecJ.WänkeM.FiedlerK. (2010). Political ideology at face value. Social Psychological and Personality Science, 1, 206–213. https://doi.org/10.1177/1948550610372145
29.
SnijdersT. A. B. (2005). Power and sample size in multilevel linear models. In EverittB. S.HowellD. C. (Eds.), Encyclopedia of statistics in behavioral science (Vol. 4, pp. 1570–1573). Wiley. https://doi.org/10.1002/0470013192.bsa492
30.
SnyderM.HaugenJ. A. (1994). Why does behavioral confirmation occur? A functional perspective on the role of the perceiver. Journal of Experimental Social Psychology, 30, 218–246. https://doi.org/10.1006/jesp.1994.1011
31.
StokerJ. I.GarretsenH.SpreeuwersL. J. (2016). The facial appearance of CEOs: Faces signal selection but not performance. PLOS ONE, 11(7), Article e0159950. https://doi.org/10.1371/journal.pone.0159950
32.
TodorovA. (2017). Face value: The irresistible influence of first impressions. Princeton University Press.
33.
TodorovA.MandisodzaA. N.GorenA.HallC. C. (2005). Inferences of competence from faces predict election outcomes. Science, 308, 1623–1626. https://doi.org/10.1126/science.1110589
34.
TodorovA.OlivolaC. Y.DotschR.Mende-SiedleckiP. (2015). Social attributions from faces: Determinants, consequences, accuracy, and functional significance. Annual Review of Psychology, 66, 519–545. https://doi.org/10.1146/annurev-psych-113011-143831
35.
TodorovA.PorterJ. M. (2014). Misleading first impressions: Different for different facial images of the same person. Psychological Science, 25, 1404–1417. https://doi.org/10.1177/0956797614532474
36.
VallaJ. M.CeciS. J.WilliamsW. M. (2011). The accuracy of inferences about criminality based on facial appearance. Journal of Social, Evolutionary, and Cultural Psychology, 5, 66–91. https://doi.org/10.1037/h0099274
37.
WangD.NairK.KouchakiM.ZajacE. J.ZhaoX. (2019). A case of evolutionary mismatch? Why facial width-to-height ratio may not predict behavioral tendencies. Psychological Science, 30, 1074–1081. https://doi.org/10.1177/0956797619849928
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