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A multi-lab test of the facial feedback hypothesis by the Many Smiles Collaboration

Abstract

Following theories of emotional embodiment, the facial feedback hypothesis suggests that individuals’ subjective experiences of emotion are influenced by their facial expressions. However, evidence for this hypothesis has been mixed. We thus formed a global adversarial collaboration and carried out a preregistered, multicentre study designed to specify and test the conditions that should most reliably produce facial feedback effects. Data from n = 3,878 participants spanning 19 countries indicated that a facial mimicry and voluntary facial action task could both amplify and initiate feelings of happiness. However, evidence of facial feedback effects was less conclusive when facial feedback was manipulated unobtrusively via a pen-in-mouth task.

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Fig. 1: Country-specific sample sizes.
Fig. 2: Effects of facial expression poses and filler tasks on self-reported happiness in each study condition.
Fig. 3: Potential moderators of facial feedback effects.

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Data availability

The full data are publicly available at https://osf.io/ac3t2/. Source data are provided with this paper.

Code availability

The full analysis code is publicly available at https://osf.io/ac3t2/.

References

  1. Zajonc, R. B. The primacy of affect. Am. Psychol. 40, 849–850 (1985).

    Article  Google Scholar 

  2. Tomkins, S. Affect Imagery Consciousness: The Positive Affects Vol. 1 (Springer, 1962).

  3. Laird, J. D. & Crosby, M. in Thought and Feeling: Cognitive Alteration of Feeling States (eds London, H. & Nisbett, R. E.) 44–59 (Transaction, 1974).

  4. Allport, F. H. A physiological–genetic theory of feeling and emotion. Psychol. Rev. 29, 132–139 (1922).

    Article  Google Scholar 

  5. Levenson, R. W., Ekman, P. & Friesen, W. V. Voluntary facial action generates emotion-specific autonomic nervous system activity. Psychophysiology 27, 363–384 (1990).

    Article  CAS  Google Scholar 

  6. Coan, J. A., Allen, J. J. B. & Harmon-Jones, E. Voluntary facial expression and hemispheric asymmetry over the frontal cortex. Psychophysiology 38, 912–925 (2001).

    Article  CAS  Google Scholar 

  7. Scherer, K. R. & Moors, A. The emotion process: event appraisal and component differentiation. Annu. Rev. Psychol. 70, 719–745 (2019).

    Article  Google Scholar 

  8. Stepper, S. & Strack, F. Proprioceptive determinants of emotional and nonemotional feelings. J. Pers. Soc. Psychol. 64, 211–220 (1993).

    Article  Google Scholar 

  9. Friedman, B. H. Feelings and the body: the Jamesian perspective on autonomic specificity of emotion. Biol. Psychol. 84, 383–393 (2010).

    Article  Google Scholar 

  10. James, W. Discussion: the physical basis of emotion. Psychol. Rev. 1, 516–529 (1894).

    Article  Google Scholar 

  11. Lange, C. G. Om Sindsbevaegelser; Et Psyko-Fysiologisk Studie (Lund, 1885).

  12. Cannon, W. The James–Lange theory of emotions: a critical examination and an alternative theory. Am. J. Psychol. 39, 106–124 (1927).

    Article  Google Scholar 

  13. Cannon, W. Bodily Changes in Pain, Hunger, Fear and Rage (D. Appleton, 1915).

  14. Sherrington, C. S. Experiments on the value of vascular and visceral factors for the genesis of emotion. Proc. R. Soc. Lond. 66, 390–403 (1899).

    Google Scholar 

  15. Ansfield, M. E. Smiling when distressed: when a smile is a frown turned upside down. Pers. Soc. Psychol. Bull. 33, 763–775 (2007).

    Article  Google Scholar 

  16. Kraft, T. L. & Pressman, S. D. Grin and bear it: the influence of manipulated facial expression on the stress response. Psychol. Sci. 23, 1372–1378 (2012).

    Article  Google Scholar 

  17. Schmitz, B. Art-of-Living: A Concept to Enhance Happiness (Springer Cham, 2016).

  18. Lyubomirsky, S. The How of Happiness: A Scientific Approach to Getting the Life You Want (Penguin Group, 2008).

  19. Alam, M., Barrett, K. C., Hodapp, R. M. & Arndt, K. A. Botulinum toxin and the facial feedback hypothesis: can looking better make you feel happier? J. Am. Acad. Dermatol. 58, 1061–1072 (2008).

    Article  Google Scholar 

  20. Alves, M. C., Sobreira, G., Aleixo, M. A. & Oliveira, J. M. Facing depression with botulinum toxin: literature review. Eur. Psychiatry 335, 5290–5643 (2016).

    Google Scholar 

  21. Chugh, S., Chhabria, A., Jung, S., Kruger, T. H. C. & Wollmer, M. A. Botulinum toxin as a treatment for depression in a real-world setting. J. Psychiatr. Pract. 24, 15–20 (2018).

    Article  Google Scholar 

  22. Finzi, E. Update: botulinum toxin for depression: more than skin deep. Dermatol. Surg. 44, 1363–1365 (2018).

    Article  CAS  Google Scholar 

  23. Finzi, E. & Rosenthal, N. E. Emotional proprioception: treatment of depression with afferent facial feedback. J. Psychiatr. Res. 80, 93–96 (2016).

    Article  Google Scholar 

  24. Finzi, E. & Rosenthal, N. E. Treatment of depression with onabotulinumtoxinA: a randomized, double-blind, placebo controlled trial. J. Psychiatr. Res. 52, 1–6 (2014).

    Article  Google Scholar 

  25. Finzi, E. & Wasserman, E. Treatment of depression with botulinum toxin A: a case series. Dermatol. Surg. 32, 645–649 (2006).

    CAS  Google Scholar 

  26. Fromage, G. Exploring the effects of botulinum toxin type A injections on depression. Aesthet. Nurs. 7, 315–317 (2018).

    Article  Google Scholar 

  27. Hexsel, D. et al. Evaluation of self-esteem and depression symptoms in depressed and nondepressed subjects treated with onabotulinumtoxinA for glabellar lines. Dermatol. Surg. 39, 1088–1096 (2013).

    Article  CAS  Google Scholar 

  28. Krüger, T. H. C., Jung, S. & Wollmer, M. A. Botulinumtoxin—ein neuer wirkstoff in der psychopharmakotherapie? Psychopharmakotherapie 23, 2–7 (2016).

    Google Scholar 

  29. Lewis, M. B. & Bowler, P. J. Botulinum toxin cosmetic therapy correlates with a more positive mood. J. Cosmet. Dermatol. 8, 24–26 (2009).

    Article  Google Scholar 

  30. Magid, M. et al. Treating depression with botulinum toxin: a pooled analysis of randomized controlled trials. Pharmacopsychiatry 48, 205–210 (2015).

    Article  CAS  Google Scholar 

  31. Magid, M. & Reichenberg, J. S. Botulinum toxin for depression? An idea that’s raising some eyebrows. Curr. Psychiatr. 14, 43–56 (2015).

    Google Scholar 

  32. Magid, M. et al. Treatment of major depressive disorder using botulinum toxin A: a 24-week randomized, double-blind, placebo-controlled study. J. Clin. Psychiatry 75, 837–844 (2014).

    Article  CAS  Google Scholar 

  33. Parsaik, A. K. et al. Role of botulinum toxin in depression. J. Psychiatr. Pract. 22, 99–110 (2016).

    Article  Google Scholar 

  34. Reichenberg, J. S. et al. Botulinum toxin for depression: does patient appearance matter? J. Am. Acad. Dermatol. 74, 171–173 (2016).

    Article  Google Scholar 

  35. Wollmer, M. A., Magid, M. & Kruger, T. H. C. in Practical Psychodermatology (eds Bewley, A. et al.) 216–219 (John Wiley & Sons, 2014).

  36. Wollmer, M. A. et al. Agitation predicts response of depression to botulinum toxin treatment in a randomized controlled trial. Front. Psychiatry 5, 36 (2014).

    Article  Google Scholar 

  37. Wollmer, M. A. et al. Facing depression with botulinum toxin: a randomized controlled trial. J. Psychiatr. Res. 46, 574–581 (2012).

    Article  Google Scholar 

  38. Zamanian, A., Jolfaei, A. G., Mehran, G. & Azizian, Z. Efficacy of Botox versus placebo for treatment of patients with major depression. Iran. J. Public Health 46, 982–984 (2017).

    Google Scholar 

  39. Finzi, E. The Face of Emotion: How Botox Affects Our Moods and Relationships (St. Martin’s, 2013).

  40. Wagenmakers, E.-J. et al. Registered replication report: Strack, Martin, & Stepper (1988). Perspect. Psychol. Sci. 11, 917–928 (2016).

    Article  Google Scholar 

  41. Strack, F., Martin, L. L. & Stepper, S. Inhibiting and facilitating conditions of the human smile: a nonobtrusive test of the facial feedback hypothesis. J. Pers. Soc. Psychol. 54, 768–777 (1988).

    Article  CAS  Google Scholar 

  42. Buck, R. Nonverbal behavior and the theory of emotion: the facial feedback hypothesis. J. Pers. Soc. Psychol. 38, 811–824 (1980).

    Article  CAS  Google Scholar 

  43. Zuckerman, M., Klorman, R., Larrance, D. T. & Spiegel, N. H. Facial, autonomic, and subjective components of emotion: the facial feedback hypothesis versus externalizer–internalizer distinction. J. Pers. Soc. Psychol. 41, 929–944 (1981).

    Article  CAS  Google Scholar 

  44. Ekman, P. & Oster, H. Facial expressions of emotion. Annu. Rev. Psychol. 30, 527–554 (1979).

    Article  Google Scholar 

  45. Laird, J. D. Self-attribution of emotion: the effects of expressive behavior on the quality of emotional experience. J. Pers. Soc. Psychol. 29, 475–486 (1974).

    Article  CAS  Google Scholar 

  46. Laird, J. D. & Bresler, C. in Review of Personality and Social Psychology: Emotion (ed. Clark, M. S.) 213–234 (Sage, 1992).

  47. Ekman, P. in Anthropology of the Body (ed. Blacking, J.) 34–38 (Routledge, 1979).

  48. Schimmack, U. & Chen, Y. The power of the pen paradigm: a replicability analysis. Replicability-Index https://replicationindex.com/2017/09/04/the-power-of-the-pen-paradigm-a-replicability-analysis/ (2017).

  49. Strack, F. Reflection on the Smiling Registered Replication Report. Perspect. Psychol. Sci. 11, 929–930 (2016).

    Article  Google Scholar 

  50. Noah, T., Schul, Y. & Mayo, R. When both the original study and its failed replication are correct: feeling observed eliminates the facial-feedback effect. J. Pers. Soc. Psychol. 114, 657–664 (2018).

    Article  Google Scholar 

  51. Hager, J. C. & Ekman, P. Methodological problems in Tourangeau and Ellsworth’s study of facial expression and experience of emotion. J. Pers. Soc. Psychol. 40, 358–362 (1981).

    Article  Google Scholar 

  52. Tomkins, S. The role of facial response in the experience of emotion: a reply to Tourangeau and Ellsworth. J. Pers. Soc. Psychol. 37, 1519–1531 (1981).

    Google Scholar 

  53. Matsumoto, D. The role of facial response in the experience of emotion: more methodological problems and a meta-analysis. J. Pers. Soc. Psychol. 52, 769–774 (1987).

    Article  CAS  Google Scholar 

  54. Levenson, R. W., Ekman, P., Heider, K. & Friesen, W. V. Emotion and autonomic nervous system activity in the Minangkabau of West Sumatra. J. Pers. Soc. Psychol. 62, 972–988 (1992).

    Article  CAS  Google Scholar 

  55. Ekman, P. Facial expression and emotion. Am. Psychol. 48, 384–392 (1993).

    Article  CAS  Google Scholar 

  56. Soussignan, R. Duchenne smile, emotional experience, and autonomic reactivity: a test of the facial feedback hypothesis. Emotion 2, 52–74 (2002).

    Article  Google Scholar 

  57. Lambie, J. A. & Marcel, A. J. Consciousness and the varieties of emotion experience: a theoretical framework. Psychol. Rev. 109, 219–259 (2002).

    Article  Google Scholar 

  58. Frijda, N. H. Emotion experience. Cogn. Emot. 194, 473–497 (2010).

    Google Scholar 

  59. Coles, N. A., Larsen, J. T. & Lench, H. C. A meta-analysis of the facial feedback literature: effects of facial feedback on emotional experience are small and variable. Psychol. Bull. 145, 610–651 (2019).

    Article  Google Scholar 

  60. Carter, E. C., Schönbrodt, F. D., Gervais, W. M. & Hilgard, J. Correcting for bias in psychology: a comparison of meta-analytic methods. Adv. Methods Pract. Psychol. Sci. 2, 115–144 (2019).

    Article  Google Scholar 

  61. Macaskill, P., Walter, S. D. & Irwig, L. A comparison of methods to detect publication bias in meta-analysis. Stat. Med. 20, 641–654 (2001).

    Article  CAS  Google Scholar 

  62. Stanley, T. D. Limitations of PET-PEESE and other meta-analysis methods. Soc. Psychol. Pers. Sci. 8, 581–591 (2017).

    Article  Google Scholar 

  63. Eysenck, H. J. An exercise in mega-silliness. Am. Psychol. 33, 517 (1978).

    Article  Google Scholar 

  64. Kleinke, C. L., Peterson, T. R. & Rutledge, T. R. Effects of self-generated facial expressions on mood. J. Pers. Soc. Psychol. 74, 272–279 (1998).

    Article  Google Scholar 

  65. Dimberg, U. & Söderkvist, S. The voluntary facial action technique: a method to test the facial feedback hypothesis. J. Nonverbal Behav. 35, 17–33 (2011).

    Article  Google Scholar 

  66. R Core Team. R: A Language and Environment for Statistical Computing v.4.1.2 https://www.Rproject.org/ (R Foundation for Statistical Computing, 2021).

  67. Bates, D., Mächler, M., Bolker, B. & Walker, S. Fitting linear mixed-effects models using lme4: mixed-effects modeling with R. J. Stat. Softw. 67, 1–48 (2015).

    Article  Google Scholar 

  68. Kuznetsova, A., Brockhoff, P. B. & Christensen, R. H. B. lmerTest package: tests in linear mixed effects models. J. Stat. Softw. 82, 1–26 (2017).

    Article  Google Scholar 

  69. Lenth, R. V. emmeans: Estimated marginal means, aka least-squares means. R package version 1.7.2 (2022).

  70. Morey, R. D. & Rouder, J. N. BayesFactor: Computation of Bayes factors for common designs. R package version 0.9.12-4.3 (2021).

  71. Wilson, T. D. et al. Just think: the challenges of the disengaged mind. Science 345, 75–77 (2014).

    Article  CAS  Google Scholar 

  72. Brown, V. A. An introduction to linear mixed-effects modeling in R. Adv. Methods Pract. Psychol. Sci. 4, 1–19 (2021).

    Google Scholar 

  73. Coles, N. A., Gaertner, L., Frohlich, B., Larsen, J. T. & Basnight-Brown, D. Fact or artifact? Methodological artifacts moderate, but do not fully account for, the effects of facial feedback on emotional experience. J. Pers. Soc. Psychol. 1–24 (2022).

  74. Izard, C. E. The Face of Emotion (Appleton-Century-Crofts, 1971).

  75. James, W. What is an emotion? Mind 9, 188–205 (1884).

    Article  Google Scholar 

  76. Laird, J. D. & Lacasse, K. Bodily influences on emotional feelings: accumulating evidence and extensions of William James’s theory of emotion. Emot. Rev. 6, 27–34 (2014).

    Article  Google Scholar 

  77. Funder, D. C. & Ozer, D. J. Evaluating effect size in psychological research: sense and nonsense. Adv. Methods Pract. Psychol. Sci. 2, 156–168 (2019).

    Article  Google Scholar 

  78. Ekman, P. & Rosenberg, E. L. What the Face Reveals: Basic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System (FACS) (Oxford Univ. Press, 1997).

  79. Larsen, J. T., Norris, C. J. & Cacioppo, J. T. Effects of positive and negative affect on electromyographic activity over zygomaticus major and corrugator supercilii. Psychophysiology 40, 776–785 (2003).

    Article  Google Scholar 

  80. Alfen, N. Van, Gilhuis, H. J., Keijzers, J. P., Pillen, S. & Van Dijk, J. P. Quantitative facial muscle ultrasound: feasibility and reproducibility. Muscle Nerve 48, 375–380 (2013).

    Article  Google Scholar 

  81. Clay-Warner, J. & Robinson, D. T. Infrared thermography as a measure of emotion response. Emot. Rev. 7, 157–162 (2014).

    Article  Google Scholar 

  82. Harmon-Jones, C., Bastian, B. & Harmon-Jones, E. The Discrete Emotions Questionnaire: a new tool for measuring state self-reported emotions. PLoS ONE 11, e0159915 (2016).

    Article  Google Scholar 

  83. Ekman, P. Darwin, deception, and facial expression. Ann. N. Y. Acad. Sci. 1000, 205–221 (2003).

    Article  Google Scholar 

  84. Shields, S. A., Mallory, M. E. & Simon, A. The body awareness questionnaire: reliability and validity. J. Pers. Assess. 53, 802–815 (1989).

    Article  Google Scholar 

  85. Marsh, A. A., Rhoads, S. A. & Ryan, R. M. A multi-semester classroom demonstration yields evidence in support of the facial feedback effect. Emotion 19, 1500–1504 (2019).

    Article  Google Scholar 

  86. Lucey, P. et al. The Extended Cohn–Kanade Dataset (CK+): a complete dataset for action unit and emotion-specified expression. In Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. 94–101 (IEEE, 2010).

  87. Lang, P. & Bradley, M. M. in Handbook of Emotion Elicitation and Assessment (eds Coan, J. A. & Allen, J. J. B.) 29–46 (Oxford Univ. Press, 2007).

  88. March, D. S., Gaertner, L. & Olson, M. A. In harm’s way: on preferential response to threatening stimuli. Pers. Soc. Psychol. Bull. 43, 1519–1529 (2017).

    Article  Google Scholar 

  89. Klein, R. A. et al. Many Labs 2: investigating variation in replicability across samples and settings. Adv. Methods Pract. Psychol. Sci. 1, 443–490 (2018).

    Article  Google Scholar 

Download references

Acknowledgements

This work was financially supported by B. Stastny, who generously donated funds for this research in memory of his father, Bill Stastny (J.T.L.). The work was also supported by the National Science Centre, Poland (grant no. 2019/35/B/HS6/00528; K.B.), JSPS KAKENHI (grant nos 16H03079, 17H00875, 18K12015, 20H04581 and 21H03784; Y.Y.), the National Council for Scientific and Technological Development (CNPq; R.M.K.F.), the Polish National Science Center (M.P.), the DFG Beethoven grant no. 2016/23/G/HS6/01775 (M.P.), the National Science Foundation Graduate Research Fellowship (grant no. R010138018; N.A.C.), the Ministerio de Ciencia, Innovación y Universidades (grant no. PGC2018-098558-B-I00; J.A.H.), the Comunidad de Madrid (grant no. H2019/HUM-5705; J.A.H.), Teesside University (N.B.) and the Occidental College Academic Student Project Award (S.L.). The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. We also thank C. Scavo and A. Bidani for help with translating the study materials, L. Pullano and R. Giorgini for help with coding, and E. Tolomeo and L. Pane for help with data collection.

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Conceptualization: N.A.C., D.S.M., F.M.-R., J.T.L., J.F.H., P.M.G., P.C.E., L.G. and F.S. Data curation: N.A.C., B.S., Y.Y. and S.R.-F. Formal analysis: N.A.C., L.G., M.M. and M.T.L. Funding acquisition: N.A.C., Y.Y. and N.B. Investigation: N.A.C., D.S.M., J.T.L., N.C.A., I.L.G.N., M.L.W., F.F., N.R., A.M., J.F.H., G.K., E.Y., A.K., N.H., J.T., R.M.K.F., D.Z., B.A., K.B., S.A., K.F., Y.Y., A.I., D.L.E., C.A.L., S.L., M.P., N.B., G.P., D.M.B.-B., J.A.H., P.R.M., L.G.J.D., K.V., H.IJ., N.T., S.D.P., P.M.G., A.A.Ö., S.R.-F. and M.T.L. Methodology: N.A.C., D.S.M., F.M.-R., P.S.F., J.F.H., G.K., K.B., D.L.E., S.R.-F., P.C.E. and L.G. Project administration: N.A.C., M.L.W., F.F., P.S.F., J.F.H., J.T., K.B., K.F., D.L.E., M.P., H.IJ., S.D.P. and A.A.Ö. Resources: N.A.C., D.S.M., I.L.G.N., E.Y., A.K., T.N., R.M.K.F., B.A., K.B., S.A., M.P., G.P., J.A.H., P.R.M., H.IJ., P.M.G., A.A.Ö. and S.R.-F. Software: N.A.C., J.T. and M.M. Supervision: N.A.C., N.C.A., F.F., N.R., J.F.H., B.A., K.B., C.A.L., N.B., H.IJ. and S.D.P. Validation: N.A.C., P.S.F., N.H., J.T., M.P., N.T., M.M. and M.T.L. Visualization: N.A.C., P.S.F., J.A.H. and L.G. Writing—original draft: N.A.C., D.S.M., A.A.Ö. and L.G. Writing—review and editing: N.A.C., D.S.M., F.M.-R., J.T.L., N.C.A., I.L.G.N., M.L.W., F.F., N.R., A.M., P.S.F., J.F.H., G.K., T.N., N.H., D.Z., B.A., K.B., Y.Y., D.L.E., N.B., G.P., D.M.B.-B., J.A.H., P.R.M., L.G.J.D., H.IJ., N.T., S.D.P., P.M.G., A.A.Ö., S.R.-F., P.C.E., L.G., F.S., M.M. and M.T.L.

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Correspondence to Nicholas A. Coles.

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Nature Human Behaviour thanks David Mellor, Rainer Reisenzein, Jared McGinley and Quentin Gronau for their contribution to the peer review of this work.

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Supplementary Figs. 1–3, results from pilot studies 1–3, and results and discussion from the main study.

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Source Data Fig. 1

Data on country-specific sample sizes.

Source Data Fig. 2

Participant-level data for the primary analyses.

Source Data Fig. 3

Participant-level data for the secondary moderator analyses.

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Coles, N.A., March, D.S., Marmolejo-Ramos, F. et al. A multi-lab test of the facial feedback hypothesis by the Many Smiles Collaboration. Nat Hum Behav 6, 1731–1742 (2022). https://doi.org/10.1038/s41562-022-01458-9

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