Trustworthiness detection from faces: Does reliance on facial impressions pay off?

While people readily form and rely on trustworthiness impressions from faces, the question of whether these impressions are accurate remains debated. The present research examines whether having access to the facial appearance of counterparts provides a strategic advantage to participants when making trust decisions. Furthermore, we investigated whether people show above-chance accuracy in trustworthiness detection (a) when they make trust decisions vs. provide explicit trustworthiness ratings, (b) when judging male vs. female counterparts, and (c) when rating cropped images (with non-facial features removed) vs. uncropped images. Results showed that incentivized trust decisions (Study 1, n = 131) and predictions of counterparts’ trustworthiness (Study 2, n = 266) were unrelated to actual trustworthiness. Moreover, accuracy was not moderated by stimulus type (cropped vs. uncropped faces) or counterparts’ gender. Overall, these findings suggest that people are unable to detect the trustworthiness of strangers based on their facial appearance. University Additional studies are needed to examine the generalizability of our findings with larger and more diverse samples. Future studies should also examine the accuracy of trustworthiness impressions using varying types of stimuli. Cropped images, in which all non-facial aspects are removed, ensure that impressions are actually based on the facial features of counterparts. However, they do not represent the kinds of stimuli that people actually encounter in real life. Ultimately, we believe that studies using a range of different stimuli are needed to map the accuracy of trustworthiness decisions under varying conditions.

[1]  A. Todorov,et al.  Can we reduce facial biases? Persistent effects of facial trustworthiness on sentencing decisions , 2019, Journal of Experimental Social Psychology.

[2]  C. D. De Dreu,et al.  On the psychology and economics of antisocial personality , 2019, Proceedings of the National Academy of Sciences.

[3]  A. Evans,et al.  Explaining the persistent influence of facial cues in social decision-making. , 2019, Journal of experimental psychology. General.

[4]  J. Freeman,et al.  The influence of visual context on the evaluation of facial trustworthiness , 2018, Journal of Experimental Social Psychology.

[5]  Astrid Hopfensitz,et al.  Split-Second Trustworthiness Detection From Faces in an Economic Game , 2017, Experimental psychology.

[6]  Nicholas O. Rule,et al.  Advances in Understanding the Detectability of Trustworthiness From the Face: Toward a Taxonomy of a Multifaceted Construct , 2017 .

[7]  Jean-François Bonnefon,et al.  Can We Detect Cooperators by Looking at Their Face? , 2017 .

[8]  M. Slepian,et al.  The Unique Contributions of Perceiver and Target Characteristics in Person Perception , 2017, Journal of personality and social psychology.

[9]  Rachael E. Jack,et al.  Toward a Social Psychophysics of Face Communication , 2017, Annual review of psychology.

[10]  Kerri L. Johnson,et al.  More Than Meets the Eye: Split-Second Social Perception , 2016, Trends in Cognitive Sciences.

[11]  Peter Green,et al.  SIMR: an R package for power analysis of generalized linear mixed models by simulation , 2016 .

[12]  L. I. Reed,et al.  What the face communicates: clearing the conceptual ground , 2016 .

[13]  J. Simpson,et al.  Ruining it for Both of Us: The Disruptive Role of Low-Trust Partners on Conflict Resolution in Romantic Relationships , 2015 .

[14]  Christopher Y. Olivola,et al.  Response to Bonnefon et al.: Limited ‘kernels of truth’ in facial inferences , 2015, Trends in Cognitive Sciences.

[15]  Nicholas O. Rule,et al.  Facial Trustworthiness Predicts Extreme Criminal-Sentencing Outcomes , 2015, Psychological science.

[16]  Astrid Hopfensitz,et al.  Adolescents gradually improve at detecting trustworthiness from the facial features of unknown adults , 2015 .

[17]  Peter Mende-Siedlecki,et al.  Social attributions from faces: determinants, consequences, accuracy, and functional significance. , 2015, Annual review of psychology.

[18]  Friederike Funk,et al.  Social attributions from faces bias human choices , 2014, Trends in Cognitive Sciences.

[19]  D. Bates,et al.  Fitting Linear Mixed-Effects Models Using lme4 , 2014, 1406.5823.

[20]  David Dunning,et al.  Trust at zero acquaintance: more a matter of respect than expectation of reward. , 2014, Journal of personality and social psychology.

[21]  C. Faurie,et al.  Is cooperativeness readable in static facial features? An inter-cultural approach , 2013 .

[22]  Astrid Hopfensitz,et al.  Low second-to-fourth digit ratio predicts indiscriminate social suspicion, not improved trustworthiness detection , 2013, Biology Letters.

[23]  Nalini Ambady,et al.  Accuracy and consensus in judgments of trustworthiness from faces: behavioral and neural correlates. , 2013, Journal of personality and social psychology.

[24]  Astrid Hopfensitz,et al.  The modular nature of trustworthiness detection. , 2013, Journal of experimental psychology. General.

[25]  Sonja Vogt,et al.  Viewing men's faces does not lead to accurate predictions of trustworthiness , 2013, Scientific Reports.

[26]  A. Todorov,et al.  The functional basis of face evaluation , 2008, Proceedings of the National Academy of Sciences.

[27]  Paul L. Rosin,et al.  Facial dynamics as indicators of trustworthiness and cooperative behavior. , 2007, Emotion.

[28]  E. Wagenmakers A practical solution to the pervasive problems ofp values , 2007, Psychonomic bulletin & review.

[29]  Sven Vanneste,et al.  You can judge a book by its cover: the sequel.: A kernel of truth in predictive cheating detection , 2007 .

[30]  T. Yamagishi,et al.  You can judge a book by its cover: Evidence that cheaters may look different from cooperators , 2003 .

[31]  Bernard Tiddeman,et al.  Prototyping and Transforming Facial Textures for Perception Research , 2001, IEEE Computer Graphics and Applications.

[32]  Joyce E. Berg,et al.  Trust, Reciprocity, and Social History , 1995 .

[33]  Richard D. Morey,et al.  Baysefactor: Computation of Bayes Factors for Common Designs , 2018 .

[34]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[35]  Jesús Peiró‐Palomino,et al.  On the sources of European regional convergence: Does social capital have an economic payoff? , 2014 .

[36]  Roderick M. Kramer,et al.  Trust and distrust in organizations: emerging perspectives, enduring questions. , 1999, Annual review of psychology.

[37]  L. M. M.-T. Theory of Probability , 1929, Nature.